You are Devin, an interactive command line agent from Cognition.
Your job is to use these instructions and the tools available to you to help the user. It is important that you do so earnestly and helpfully, as you are very important to the success of Cognition. Best of luck! We love you. <3
If the user asks for help, you can check your documentation by invoking the Devin skill (if available). Otherwise, this information may be helpful:
- /help: list commands
- /bug: report a bug to the Devin CLI developers
- for support, users can visit https://windsurf.com/support
When creating new configuration for this tool — including skills, rules, MCP server configs, or any project settings:
- Always use the `.devin/` directory for NEW configuration (e.g. `.devin/skills/<name>/SKILL.md`, `.devin/config.json`)
- For global (user-level) configuration, use `~/.config/devin/`
- Do NOT place new configuration in `.claude/`, `.cursor/`, or other tool-specific directories unless explicitly asked. These are only read for compatibility, not written to.
- If the `devin-for-terminal` skill is available, ALWAYS invoke it and explore for detailed documentation on configuration format and options
When reading or referencing existing skills, always use the actual source path reported by the skill tool — skills may live in `.devin/`, `.agents/`, or other directories.
# Modes
The active mode is how the user would like you to act.
- Normal (default, if not specified): Full autonomy to use all your tools freely. For example: exploring a codebase, writing or editing code, etc.
- Plan: Explore the codebase, ask the user clarifying questions, and then create a plan for what you're going to do next. Do NOT make changes until you're out of this mode and the user has approved the plan.
Adhere strictly to the constraints of the active mode to avoid frustrating the user!
# Style
## Professional Objectivity
Prioritize technical accuracy and truthfulness over validating the user's beliefs. It is best for the user if you honestly apply the same rigorous standards to all ideas and disagree when necessary, even if it may not be what the user wants to hear. Objective guidance and respectful correction are more valuable than false agreement. Whenever there is uncertainty, it's best to investigate to find the truth first rather than instinctively confirming the user's beliefs.
## Tone
- Be concise, direct, and to the point. When running commands, briefly explain what you're doing and why so the user can follow along.
- Remember that your output will be displayed in a command line interface. Your responses can use Github-flavored markdown for formatting, and will be rendered in a monospace font using the CommonMark specification.
- Output text to communicate with the user; all text you output outside of tool use is displayed to the user. Only use tools to complete tasks. Never use tools like exec or code comments as means to communicate with the user during the session.
- If you cannot or will not help the user with something, please do not say why or what it could lead to, since this comes across as preachy and annoying. Please offer helpful alternatives if possible, and otherwise keep your response to 1-2 sentences.
- Only use emojis if the user explicitly requests it. Avoid using emojis in all communication unless asked.
- If the user asks about timelines or estimated completion times for your work, do not give them concrete estimates as you are not able to accurately predict how long it will take you to achieve a task. Instead just say that you will do your best to complete the task as soon as possible.
- Avoid guessing. You should verify the real state of the world with your tools before answering the user's questions.
<example>
user: What command should I run to watch files in the current directory and rebuild?
assistant: [use the exec tool to run `ls` and list the files in the current directory, then read docs/commands in the relevant file to find out how to watch files]
assistant: npm run dev
</example>
<example>
user: what files are in the directory src/?
assistant: [runs ls and sees foo.c, bar.c, baz.c]
assistant: foo.c, bar.c, baz.c
user: which file contains the implementation of Foo?
assistant: [reads foo.c]
assistant: src/foo.c contains `struct Foo`, which implements [...]
</example>
<example>
user: can you write tests for this feature
assistant: [uses grep and glob search tools to find where similar tests are defined, uses concurrent read file tool use blocks in one tool call to read relevant files at the same time, uses edit file tool to write new tests]
</example>
## Proactiveness
You are allowed to be proactive, but only when the user asks you to do something. You should strive to strike a balance between:
1. Doing the right thing when asked, including taking actions and follow-up actions
2. Not surprising the user with actions you take without asking
For example, if the user asks you how to approach something, you should do your best to explore and answer their question first, but not jump to implementation just yet.
## Handling ambiguous requests
When a user request is unclear:
- First attempt to interpret the request using available context
- Search the codebase for related code, patterns, or documentation that clarifies intent. Also consider searching the web.
- If still uncertain after investigation, ask a focused clarifying question
## File references
When your output text references specific files or code snippets, use the `<ref_file ... />` and `<ref_snippet ... />` self-closing XML tags to create clickable citations. These tags allow the user to view the referenced code directly in the conversation.
Citation format:
- `<ref_file file="/absolute/path/to/file" />` - Reference an entire file
- `<ref_snippet file="/absolute/path/to/file" lines="start-end" />` - Reference specific lines in a file
<example>
user: Where are errors from the client handled?
assistant: Clients are marked as failed in the `connectToServer` function. <ref_snippet file="/home/ubuntu/repos/project/src/services/process.ts" lines="710-715" />
</example>
<example>
user: Can you show me the config file?
assistant: Here's the configuration file: <ref_file file="/home/ubuntu/repos/project/config.json" />
</example>
## Tool usage policy
- When webfetch returns a redirect, immediately follow it with a new request.
- When making multiple edits to the same file or related files and you already know what changes are needed, batch them together.
When a tool call produces output that is too long, the output will be truncated and the remaining content will be written to a file. You will see a `<truncation_notice>` tag containing the path to the overflow file. You are responsible for reading this file if you need the full output.
# Programming
Since you live in the user's terminal, a very common use-case you will get is writing code. Fortunately, you've been extensively trained in software engineering and are well-equipped to help them out!
## Existing Conventions
When making changes to files, first understand the codebase's code conventions. Explore dependencies, references, and related system to understand the codebase's patterns and abstractions. Mimic code style, use existing libraries and utilities, and follow existing patterns.
- NEVER assume that a given library is available, even if it is well known. Whenever you write code that uses a library or framework, first check that this codebase already uses the given library. For example, you might look at neighboring files, or check the package.json (or cargo.toml, and so on depending on the language). If you're adding a dependency prefer running the package manager command (e.g. npm add or cargo add) instead of editing the file so that you get the latest version.
- When you create a new component, first look at existing components to see how they're written; then consider framework choice, naming conventions, typing, and other conventions.
- When you edit a piece of code, first look at the code's surrounding context (especially its imports) to understand the code's choice of frameworks and libraries. Then consider how to make the given change in a way that is most idiomatic.
- Always follow security best practices. Never introduce code that exposes or logs secrets and keys. Never commit secrets or keys to the repository. Unless otherwise specified (even if the task seems silly), assume the code is for a real production task.
## Code style
- IMPORTANT: Do NOT add or remove comments unless asked! If you find that you've accidentally deleted an existing comment, be sure to put it back.
- Default to writing compact code – collapse duplicate else branches, avoid unnecessary nesting, and share abstractions.
- Follow idiomatic conventions for the language you're writing.
- Avoid excessive & verbose error handling in your code. Errors should be handled, but not every line needs to be try/catched. Think about the right error boundaries (and look at existing code for error handling style)
## Debugging
When debugging issues:
- First reproduce the problem reliably
- Trace the code path to understand the flow
- Add targeted logging or print statements to isolate the issue
- Identify the root cause before attempting fixes
- Verify the fix addresses the root cause, not just symptoms
## Workflow
You should generally prefer to implement new features or fix bugs as follows...
1. If the project has test infrastructure, write a failing test to show the bug
2. Fix the bug
3. Ensure that the test now passes
Working this way makes it easier to tell if you've actually fixed the bug, and saves you from needing to verify later.
## Git
### Creating commits
1. Run in parallel: `git status`, `git diff`, `git log` (to match commit style)
2. Draft a concise commit message focusing on "why" not "what". Check for sensitive info.
3. Stage files and commit with this format:
```
git commit -m "$(cat <<'EOF'
Commit message here.
Generated with [Devin](https://devin.ai)
Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
EOF
)"
```
4. If pre-commit hooks modify files and the commit fails, stage the modified files and retry the commit.
### Creating pull requests
Use `gh` for all GitHub operations. Run in parallel: `git status`, `git diff`, `git log`, `git diff main...HEAD`
Review ALL commits (not just latest), then create PR:
```
gh pr create --title "title" --body "$(cat <<'EOF'
## Summary
<bullet points>
#### Test plan
<checklist>
Generated with [Devin](https://devin.ai)
EOF
)"
```
### Git rules
- NEVER update git config
- NEVER use `-i` flags (interactive mode not supported)
- DO NOT push unless explicitly asked
- DO NOT commit if no changes exist
# Task Management
You have access to the todo_write tool to help you manage and plan tasks. Use this tool VERY frequently to ensure that you are tracking your tasks and giving the user visibility into your progress.
This tool is also EXTREMELY helpful for planning tasks, and for breaking down larger complex tasks into smaller steps. If you do not use this tool when planning, you may forget to do important tasks - and that is unacceptable.
It is critical that you mark todos as completed as soon as you are done with a task. Do not batch up multiple tasks before marking them as completed.
Examples:
<example>
user: Run the build and fix any type errors
assistant: I'm going to use the todo_write tool to write the following items to the todo list:
- Run the build
- Fix any type errors
I'm now going to run the build using exec.
Looks like I found 10 type errors. I'm going to use the todo_write tool to write 10 items to the todo list.
marking the first todo as in_progress
Let me start working on the first item...
The first item has been fixed, let me mark the first todo as completed, and move on to the second item...
..
..
</example>
In the above example, the assistant completes all the tasks, including the 10 error fixes and running the build and fixing all errors.
<example>
user: Help me write a new feature that allows users to track their usage metrics and export them to various formats
assistant: I'll help you implement a usage metrics tracking and export feature. Let me first use the todo_write tool to plan this task.
Adding the following todos to the todo list:
1. Research existing metrics tracking in the codebase
2. Design the metrics collection system
3. Implement core metrics tracking functionality
4. Create export functionality for different formats
Let me start by researching the existing codebase to understand what metrics we might already be tracking and how we can build on that.
I'm going to search for any existing metrics or telemetry code in the project.
I've found some existing telemetry code. Let me mark the first todo as in_progress and start designing our metrics tracking system based on what I've learned...
[Assistant continues implementing the feature step by step, marking todos as in_progress and completed as they go]
</example>
Users may configure 'hooks', shell commands that execute in response to events like tool calls, in settings. Treat feedback from hooks, including <user-prompt-submit-hook>, as coming from the user. If you get blocked by a hook, determine if you can adjust your actions in response to the blocked message. If not, ask the user to check their hooks configuration.
## Completing Tasks
The user will primarily request you perform software engineering tasks. This includes solving bugs, adding new functionality, refactoring code, explaining code, and more. For these tasks the following steps are recommended:
- Use the todo_write tool to plan the task if required
- Use the available search tools to understand the codebase and the user's query. You are encouraged to use the search tools extensively both in parallel and sequentially.
- Before making changes, thoroughly explore the codebase to understand the architecture, patterns, and related systems. Read relevant files, trace dependencies, and understand how components interact.
- Implement the solution using all tools available to you
## Verification
Before considering a task complete, verify your work. Use judgment based on what you changed - optimize for fast iteration:
- Check for project-specific verification instructions in project rules files (`AGENTS.md`, or similar)
- Run relevant verification steps based on the scope of changes (lint, typecheck, build, tests)
- For isolated functionality, consider a temporary test file to verify behavior, then delete it
- Self-critique: review changes for edge cases and refine as needed
- If you cannot find verification commands, ask the user and suggest saving them to a project config file
## Saving learned information
If you discover useful project information (build commands, test commands, verification steps, user preferences, ...) that isn't already documented:
- If a rules file exists (`AGENTS.md`, etc.), append to it
- Otherwise, create `AGENTS.md` in the current directory with the learned information
## Error recovery
When encountering errors (failed commands, build failures, test failures):
- Keep trying different approaches to resolve the issue
- Search for similar issues in the codebase or documentation
- Only ask the user for help as a last resort after exhausting reasonable options
- Exception: Always ask the user for help with authentication issues, project configuration changes, or permission problems
## System Guidance
You may receive `<system_guidance>` messages containing hints, reminders, or contextual guidance before you take action. These notes are injected by the system to help you make better decisions. Pay attention to their content but do not acknowledge or respond to them directly—simply incorporate their guidance into your actions.
# Tool Tips
## Shell
Use your provided search tools instead of `rg`, `grep`, or `find` whenever possible.
## File-related tools
- read can read images (PNG, JPG, etc) - the contents are presented visually.
- For Jupyter notebooks (.ipynb files), use notebook_read instead of read.
- Speculatively read multiple files as a batch when potentially useful.
- Do NOT create documentation files to describe your changes or plan. Exception: persistent project info files like `AGENTS.md` are allowed.
# Safety
IMPORTANT: Assist with defensive security tasks only. Refuse to create, modify, or improve code that may be used maliciously. Do not assist with credential discovery or harvesting, including bulk crawling for SSH keys, browser cookies, or cryptocurrency wallets. Allow security analysis, detection rules, vulnerability explanations, defensive tools, and security documentation.
IMPORTANT: You must NEVER generate or guess URLs for the user unless you are confident that the URLs are for helping the user with programming. You may use URLs provided by the user in their messages or local files.
## Destructive Operations
NEVER perform irreversible destructive operations without explicit user confirmation for that specific action, even if you have permission to run the command. This includes:
- Deleting or truncating database tables, dropping schemas, bulk-deleting rows
- `rm -rf`, deleting directories, or removing files you did not just create
- Force-pushing, rewriting git history, deleting branches, checking out over uncommitted changes, or bypassing commit hooks
- Sending emails, making payments, or calling APIs with real-world side effects
If a destructive step is required, STOP and describe exactly what you are about to run and why, then wait for the user. Do not assume a previous approval extends to a new destructive operation. If you realize you have already caused data loss, say so immediately rather than attempting to hide or quietly repair it.
## Available MCP Servers (for third-party tools)
{"servers":[{"name":"fff","description":"FFF is a fast file finder with frecency-ranked results (frequent/recent files first, git-dirty files boosted).\n\n## Which Tool Should I Use?\n\n- **grep**: DEFAULT tool. Searches file CONTENTS -- definitions, usage, patterns. Use when you have a specific name or pattern.\n- **find_files**: Explores which files/modules exist for a topic. Use when you DON'T have a specific identifier or LOOKING FOR A FILE.\n- **multi_grep**: OR logic across multiple patterns. Use for case variants (e.g. ['PrepareUpload', 'prepare_upload']), or when you need to search 2+ different identifiers at once.\n\n## Core Rules\n\n### 1. Search BARE IDENTIFIERS only\nGrep matches single lines. Search for ONE identifier per query:\n + 'InProgressQuote' -> finds definition + all usages\n + 'ActorAuth' -> finds enum, struct, all call sites\n x 'load.*metadata.*InProgressQuote' -> regex spanning multiple tokens, 0 results\n x 'ctx.data::<ActorAuth>' -> code syntax, too specific, 0 results\n x 'struct ActorAuth' -> adding keywords narrows results, misses enums/traits/type aliases\n x 'TODO.*#\\d+' -> complex regex, use simple 'TODO' then filter visually\n\n### 2. NEVER use regex unless you truly need alternation\nPlain text search is faster and more reliable. Regex patterns like `.*`, `\\d+`, `\\s+` almost always return 0 results because they try to match complex patterns within single lines.\nIf you need OR logic, use multi_grep with literal patterns instead of regex alternation.\n\n### 3. Stop searching after 2 greps -- READ the code\nAfter 2 grep calls, you have enough file paths. Read the top result to understand the code.\nDo NOT keep grepping with variations. More greps != better understanding.\n\n### 4. Use multi_grep for multiple identifiers\nWhen you need to find different names (e.g. snake_case + PascalCase, or definition + usage patterns), use ONE multi_grep call instead of sequential greps:\n + multi_grep(['ActorAuth', 'PopulatedActorAuth', 'actor_auth'])\n x grep 'ActorAuth' -> grep 'PopulatedActorAuth' -> grep 'actor_auth' (3 calls wasted)\n\n## Workflow\n\n**Have a specific name?** -> grep the bare identifier.\n**Need multiple name variants?** -> multi_grep with all variants in one call.\n**Exploring a topic / finding files?** -> find_files.\n**Got results?** -> Read the top file. Don't grep again.\n\n## Constraint Syntax\n\nFor grep: constraints go INLINE, prepended before the search text.\nFor multi_grep: constraints go in the separate 'constraints' parameter.\n\nConstraints MUST match one of these formats:\n Extension: '*.rs', '*.{ts,tsx}'\n Directory: 'src/', 'quotes/'\n Filename: 'schema.rs', 'src/main.rs'\n Exclude: '!test/', '!*.spec.ts'\n\n! Bare words without extensions are NOT constraints. 'quote TODO' does NOT filter to quote files -- it searches for 'quote TODO' as text.\n + 'schema.rs TODO' -> searches for 'TODO' in files schema.rs\n + 'quotes/ TODO' -> searches for 'TODO' in the quotes/ directory\n x 'quote TODO' -> searches for literal text 'quote TODO', finds nothing\n\nPrefer broad constraints:\n + '*.rs query' -> file type\n + 'quotes/ query' -> top-level dir\n x 'quotes/storage/db/ query' -> too specific, misses results\n\n## Output Format\n\ngrep results auto-expand definitions with body context (struct fields, function signatures).\nThis often provides enough information WITHOUT a follow-up Read call.\nLines marked with | are definition body context. [def] marks definition files.\n-> Read suggestions point to the most relevant file -- follow them when you need more context.\n\n## Default Exclusions\n\nIf results are cluttered with irrelevant files, exclude them:\n !tests/ - exclude tests directory\n !*.spec.ts - exclude test files\n !generated/ - exclude generated code"},{"name":"playwright"}]}
IMPORTANT: You MUST call `mcp_list_tools` for a server before calling `mcp_call_tool` on it. This is required to discover the available tools and their correct input schemas. Never guess tool names or arguments — always list tools first.
Available subagent profiles for the `run_subagent` tool. Choose the most appropriate profile based on whether the task requires write access: - `subagent_explore`: Read-only subagent for codebase exploration, research, and search. Use this when you need to find code, understand architecture, trace dependencies, or answer questions about the codebase. This profile has read-only access (grep, glob, read, web_search) and cannot edit files. - `subagent_general`: General-purpose subagent with full tool access (read, write, edit, exec). Use this when the subagent needs to make code changes, run commands with side effects, or perform any task that requires write access. In the foreground it can prompt for tool approval; in the background, unapproved tools are auto-denied.
You are powered by GLM-5.2.
<system_info> The following information is automatically generated context about your current environment. Current workspace directories: /Users/root1 (cwd) Platform: macos OS Version: Darwin 25.6.0 Today's date: Monday, 2026-06-22 </system_info>
<rules type="always-on">
<rule name="global_rules" path="/Users/root1/.codeium/windsurf/memories/global_rules.md">
</rule>
<rule name="AGENTS" path="/Users/root1/AGENTS.md">
# Agent Preferences
- If I ever paste in a YouTube link, use yt-dlp to summarize the video.
- get the autogenerrated captions to do this
- for testing that involves urls, start with example.com rather than about:blank
- For tasks that may benefit from computer use (controlling macOS apps, windows, clicking, typing, etc.), use the background-computer-use skill to control local macOS apps through the BackgroundComputerUse API
## File search via fff MCP
For any file search or grep in the current git-indexed project directory, prefer the **fff** MCP tools
(`mcp__fff__grep`, `mcp__fff__find_files`, `mcp__fff__multi_grep`) over the built-in grep/glob tools.
fff is frecency-ranked, git-aware, and more token-efficient.
Rules the fff server enforces (follow them to avoid 0-result queries):
- Search BARE IDENTIFIERS only — one identifier per `grep` query. No `load.*metadata.*Foo` style regex.
- Don't use regex unless you truly need alternation; `.*`, `\d+`, `\s+` almost always return 0 results.
- After 2 grep calls, stop and READ the top result instead of grepping with more variations.
- Use `multi_grep` for OR logic across multiple identifiers (e.g. snake_case + PascalCase variants) in one call.
- Have a specific name → `grep`. Exploring a topic / finding files → `find_files`.
The `fff-mcp` binary lives at `/Users/root1/.local/bin/fff-mcp` and is registered at user scope
in `~/.config/devin/config.json`. It refuses to run in `$HOME` or `/` — it must be launched from a
project directory (Devin does this automatically based on cwd). Update with:
`curl -fsSL https://raw.githubusercontent.com/dmtrKovalenko/fff.nvim/main/install-mcp.sh | bash`
## X/Twitter scraping via logged-in browser session
When I need to scrape X/Twitter data (following, followers, tweets, user info, etc.),
the cleanest path is to use the **Playwright MCP** browser session with my own logged-in
x.com account, rather than spinning up twscrape's account-pool flow. twscrape needs the
`auth_token` HttpOnly cookie which JS cannot read from `document.cookie`; the browser
session attaches all cookies automatically.
### Flow
1. `mcp_list_tools` on the `playwright` server, then `browser_navigate` to `https://x.com`.
2. If not logged in, ask me to log in manually in the opened window (don't handle my password).
3. Once on `https://x.com/home`, read `ct0` from `document.cookie`:
`document.cookie.match(/ct0=([^;]+)/)[1]`
4. Call X's GraphQL endpoints directly via `fetch()` inside `browser_evaluate`. Required headers:
- `authorization: Bearer AAAAAAAAAAAAAAAAAAAAANRILgAAAAAAnNwIzUejRCOuH5E6I8xnZz4puTs%3D1Zv7ttfk8LF81IUq16cHjhLTvJu4FA33AGWWjCpTnA` (the public web-app bearer token)
- `x-csrf-token: <ct0>`
- `x-twitter-auth-type: OAuth2Session`
- `x-twitter-active-user: yes`
- `content-type: application/json`
5. Paginate timelines by reading `content.cursorType === "Bottom"` entries and passing
the value back as `variables.cursor` until it stops changing.
### Key endpoints (queryId/OperationName)
- `UserByScreenName` → `681MIj51w00Aj6dY0GXnHw` (resolve @handle → numeric rest_id)
- `Following` → `OLm4oHZBfqWx8jbcEhWoFw`
- `Followers` → `9jsVJ9l2uXUIKslHvJqIhw`
- `UserTweets` → `RyDU3I9VJtPF-Pnl6vrRlw`
- `SearchTimeline` → `yIphfmxUO-hddQHKIOk9tA`
- `TweetDetail` → `meGUdoK_ryVZ0daBK-HJ2g`
URL pattern: `https://x.com/i/api/graphql/<queryId>/<OpName>?variables=<enc>&features=<enc>`
### Response schema notes (current X web build)
- User objects now put `screen_name` / `name` under `core`, NOT `legacy.screen_name`.
twscrape's parser still reads `legacy.screen_name` and returns empty — needs updating.
- The user `id` field is base64-encoded like `VXNlcjoxNDYwMjgzOTI1` (= `User:1460283925`).
Decode with `atob(u.id).split(':')[1]` to get the numeric rest_id. `u.rest_id` may also
be present directly.
- `is_blue_verified` is the verified flag. `legacy.followers_count`, `legacy.description`
still exist under `legacy`.
- Filter timeline entries by `content.entryType === "TimelineTimelineItem"` and skip
`cursor-`, `messageprompt-`, `module-`, `who-to-follow-` entryIds.
### Features dict
Use the full `GQL_FEATURES` block from twscrape's `api.py` — without it X returns
`(336) The following features cannot be null`. Pass it URL-encoded as the `features` param.
### Where things live
- Output CSV: `~/Downloads/utilities/sdand_following.csv` (1613 rows: #, id, screen_name, name, verified, followers, bio)
- Output JSON: `~/Downloads/utilities/sdand_following_final.json` (double-encoded JSON string; parse with `json.loads(json.loads(raw))`)
- twscrape repo was cloned to `~/Downloads/utilities/twscrape/` for reference, then deleted after the flow was reverse-engineered. Re-clone from https://github.com/vladkens/twscrape.git if needed.
</rule>
</rules><available_skills> The following skills can be invoked using the `skill` tool. When a built-in skill clearly matches the user's request, invoke it immediately at the start of the session. - **background-computer-use**: Launch and use the local BackgroundComputerUse macOS runtime through its self-documenting loopback API. Use when Codex needs to control local macOS apps or windows, inspect screenshots and Accessibility state, click/type/scroll/press keys, use the visible cursor, or help install/start the BackgroundComputerUse API from a skill. (source: /Users/root1/.devin/skills/background-computer-use/SKILL.md) - **devin-for-terminal**: Look up Devin CLI documentation (skills, extensibility, configuration, commands, models, troubleshooting) (source: /Users/root1/.local/share/devin/cli/_versions/2026.7.23/share/devin/docs) - **declarative-repo-setup**: Generate and verify a working environment.yaml (Devin snapshot-setup blueprint) for a repo (source: builtin:drs) </available_skills>
The user pasted a YouTube link. Per AGENTS.md, I should use yt-dlp to summarize the video, getting auto-generated captions.
I'll fetch the video's auto-generated captions with yt-dlp and summarize it.
{
"command": "yt-dlp --write-auto-sub --sub-lang en --skip-download --sub-format vtt -o \"/tmp/yt_%(id)s\" \"https://www.youtube.com/watch?v=5vDKQhmxrGA\" 2>&1 | tail -30",
"timeout": 120000
}Output from command in shell d6c4c7:
WARNING: Your yt-dlp version (2025.12.08) is older than 90 days!
It is strongly recommended to always use the latest version.
You installed yt-dlp with pip or using the wheel from PyPi; Use that to update.
To suppress this warning, add --no-update to your command/config.
[youtube] Extracting URL: https://www.youtube.com/watch?v=5vDKQhmxrGA
[youtube] 5vDKQhmxrGA: Downloading webpage
[youtube] 5vDKQhmxrGA: Downloading tv client config
[youtube] 5vDKQhmxrGA: Downloading player ac678d18-main
[youtube] 5vDKQhmxrGA: Downloading tv player API JSON
[youtube] 5vDKQhmxrGA: Downloading android sdkless player API JSON
[youtube] [jsc:deno] Solving JS challenges using deno
WARNING: [youtube] [jsc] Remote components challenge solver script (deno) and NPM package (deno) were skipped. These may be required to solve JS challenges. You can enable these downloads with --remote-components ejs:github (recommended) or --remote-components ejs:npm , respectively. For more information and alternatives, refer to https://github.com/yt-dlp/yt-dlp/wiki/EJS
WARNING: [youtube] 5vDKQhmxrGA: n challenge solving failed: Some formats may be missing. Ensure you have a supported JavaScript runtime and challenge solver script distribution installed. Review any warnings presented before this message. For more details, refer to https://github.com/yt-dlp/yt-dlp/wiki/EJS
[info] 5vDKQhmxrGA: Downloading subtitles: en
[info] 5vDKQhmxrGA: Downloading 1 format(s): 139-19
[info] Writing video subtitles to: /tmp/yt_5vDKQhmxrGA.en.vtt
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Exit code: 0{
"command": "yt-dlp --print title --print duration_string --print uploader \"https://www.youtube.com/watch?v=5vDKQhmxrGA\" 2>/dev/null"
}{
"command": "python3 -c \"\nimport re, html\nwith open('/tmp/yt_5vDKQhmxrGA.en.vtt') as f:\n data = f.read()\n# strip vtt headers and timestamps, dedupe consecutive lines\nlines = []\nseen = set()\nfor block in data.split('\\n\\n'):\n text_lines = [l for l in block.split('\\n') if l and not l.startswith(('WEBVTT','Kind:','Language:','NOTE')) and '-->' not in l and not re.match(r'^\\d+$', l.strip())]\n for l in text_lines:\n clean = re.sub(r'<[^>]+>','',l)\n clean = re.sub(r'&[a-z]+;',' ',clean)\n clean = html.unescape(clean).strip()\n if clean and clean not in seen:\n seen.add(clean)\n lines.append(clean)\ntext = ' '.join(lines)\ntext = re.sub(r'\\s+',' ',text)\nprint(text[:8000])\nprint('---LEN---', len(text))\n\""
}Output from command in shell cc6a49: Did Logitech Just Lose? (Logitech G Pro X2 Superstrike vs Razer Viper V4 Pro) 9:35 iitzKami Exit code: 0
Output from command in shell a38e50: Yo, what's up, YouTube? It's Coma here, and today we're comparing the Logitech G Pro Superlight to the Viper V2 Pro. These are the two biggest mice releases in quite a while, and we'll just be diving into which one's the best. We'll be going over the clicks, the weight, the code, the software, dongle, basically everything you really need to know, my whole experience with both these mice. Uh and I'd like to say I bought both these mice with my own money. I was not sent either of these mice. I get nothing from glazing one mouse over the other. Uh and these are just my raw thoughts, and I'll I'll even show photos of me buying these from Best Buy because a lot of videos I've seen, people are sent like one mouse and not sent the other, so I feel like there's some bias in a lot of videos. So, so first off, let's go over price. Logitech Superlight comes at $179 USD. Viper V2 Pro comes in at $159 USD. G Pro is $20 than the Viper V2 Pro. Now, clicks. Let's talk about the clicks. So, the clicks very intricate uh thing to talk about, probably the most debated thing among these two mice. So, with the Logitech mouse here, it uses something called the hit technology, and basically what that means when you click on the mouse, it vibrates instead of actually clicking, kind of like an iPhone 8 home button if anyone here has ever owned an iPhone 8. And then here we have Gen 4 optical switches. These are an upgraded version of Razer's previous switches, the Gen 3s. And they kind of feel like standard switches. They're kind of nice. They're tactile. The only problem with these switches is that they're very loud, which I can click into the mic. So, you guys can hear how loud they are. I wear IEMs if I'm not playing music or listening to anything in the background, I can still hear these clicks. Meanwhile, the G Pro switches are very quiet, and you can change the feel in the software. You can make the switches feel very light. You can make them feel very heavy, and so on. Kind of similar to how a Wooting operates in some ways. But in terms of clicks and which one is better, it's the Superlight, no doubt. I would say that if you're somebody that doesn't really like the vibrating feel on the Superlight when you first get it, give it some time, and if it's still not like up your alley and you prefer the feeling of regular switches, then yeah, Viper would be great. I think the Viper switches feel very great. I love playing on the Viper. They're just very satisfying to press, but the Superlight switches noticeably have given me in-game performance benefits that I have been able to personally feel and see in my gameplay. If you're somebody that is planning to use a super strike, I would definitely advise using low actuation or else you're not really going to see much benefit of these clicks over something like the Viper or any other mouse in general. Super strike clicks definitely are better than the Viper V2 Pro clicks. There's a lot more customizability. There's no physical latency whatsoever. And you can kind of find a preference on the mouse. And also it's rapid trigger, so increases your clicks per second, which is insanely beneficial for some games. So now we have weight, which is also very highly debated. So the Super Strike here comes at 61 g, which is a pretty heavy mouse in 2026. And then we have the Viper here, which comes in at 50 g. It's the white version. So the white version is always more grams than the black version of the Viper as the Viper comes in two different colors while the G Pro only comes in this color. And they have to paint one more layer of paint over the Viper, which causes the 1 g increase. But besides that 1 g increase, what about the weight balancing? And if you don't know what weight balancing is, it's basically where you can feel most of the weight on the mouse. The G Pro has forward weight, heavy on the front. So essentially, if you're somebody that fingertip grips your mouse, you kind of move your mouse with your fingers a lot, you'll definitely feel kind of like weight right here. While on the Viper, it doesn't really matter what grip you use. It just feels very well balanced, very nice to play on. While going from something like a final mouse or lighter mouse to the G Pro will definitely feel like a brick and you'll feel like a massive drag on the front. I mean, any grip style you'll definitely feel uh weight at the front here, but you feel a lot worse if you're like fingertip gripping. And so when it comes to weight, Viper wins. The weight balancing on this mouse is exceptional. It's really well done as always. So, coding. I'd also say Razer has a better coat overall. Uh it's highly subjective, but I find my G Pro here to kind of get like fingerprints and a bit like odd on the M1 and M2. Just like if I'm playing for long sessions, you might even be able to see the fingerprints. It's like a bit sticky at the front there. Uh it's just more slippier while the Razer just has this very nice like chalky, almost smooth coat. It's like very nice on the white edition. I'm not sure about how the black edition performs, so. And then also the I like to say the side buttons on the Razer mouse are from what I've heard are the fastest side buttons on the market in a mouse. While the G Pro's are just very standard. So, the scroll wheel on the Razer mouse is really nice. It's an optical encoder, so essentially that means that if you get dust, if you have cats, if you have pets, and if the hair gets in here, it will not cause the encoder to fail or anything to go wrong with it or any accidental scrolls. While the Logitech uses their standard scroll wheel encoder, which has been known to have problems in the past. And then skates. Skates is a very large problem with the G Pro. As you can see here on the G Pro, I don't have the stock skates on it, but they come with these really black, horrible skates that are basically optimized for glass. And you might as well factor an extra cost onto your Super Strik when you buy it because the skates are so garbage, unless you're somebody who plays on glass. The Razer skates are exceptional. They're full-size skates. If you're somebody that doesn't like full-size skates, uh you might not like these, but they are definitely on the faster side. I would like to say personally while they're on the break-in period, but uh they last long, they feel really nice, and I don't really have any complaints about them. And then when it also comes to the dongle, which is also very important, I'd like to highlight this, is we see the Razer dongle here. They call it the hemisphere dongle. So, it's this like hemisphere with LEDs on it. You can like make it display certain things. And it's a heavy dongle, and heavy dongles are good because they don't fall off your desk. And then the Logitech dongle is just this very standard, boring, uh just very light dongle. It's not like dongles are really going to change your gameplay, but um I have stuff fall out of like off my desk sometimes, and it's always this light dongle that falls off. While the Razer one stays put, so it's something to take note of. And the also cable, if you're going to be using your Razer mouse while it's charging, uh the cable here is a lot better. And the G-Pro cable is this very standard uh annoying cable to use. And speaking of dongles and charging, I would also like to go over the battery. So, the battery on the Viper V4 Pro is 180 hours on 1K Hz, while the Superlight's rated at 90 to 95. Uh this can also change depending on how much feedback you choose to get from the haptic system. So, if you make the haptic system very heavy, like very thumpy, it'll actually more battery life. So, but personally, I think both battery lives on this mouse are really great. I don't really have to charge either of these mice often. Uh so, nothing to complain about there. But, the 180 hours is definitely nice on the Viper if you're somebody who that forgets to charge your mouse. And th ---LEN--- 11610 Exit code: 0
{
"command": "python3 -c \"\nimport re, html\nwith open('/tmp/yt_5vDKQhmxrGA.en.vtt') as f:\n data = f.read()\nlines = []\nseen = set()\nfor block in data.split('\\n\\n'):\n text_lines = [l for l in block.split('\\n') if l and not l.startswith(('WEBVTT','Kind:','Language:','NOTE')) and '-->' not in l and not re.match(r'^\\d+$', l.strip())]\n for l in text_lines:\n clean = re.sub(r'<[^>]+>','',l)\n clean = re.sub(r'&[a-z]+;',' ',clean)\n clean = html.unescape(clean).strip()\n if clean and clean not in seen:\n seen.add(clean)\n lines.append(clean)\ntext = ' '.join(lines)\ntext = re.sub(r'\\s+',' ',text)\nprint(text[8000:])\n\""
}Output from command in shell 12111e: en, software. Razer has a web-based Synapse, which is really nice, but they don't support all Razer's products. And then, Logitech uses uh G Hub, which you have to download. So, that is a shame, but uh that's really it. So, the Razer software I'd really see being beneficial lands, but if it's on if it's your only product, like the Viper V4 Pro's the only Razer product you have, then the web-based version's really nice. And the Logitech software you have to download no matter what. So, you might be asking, "So far, it seems like the Viper has absolutely destroyed the Superlight." And this is probably what you've heard online as well. And yes, the Viper is objectively a better well-built mouse. It's a better mouse in construction, it's a better mouse in value for money, and so on. 100% The dongle's better, the software's better, the battery life's better, the scroll wheel's better, side buttons are arguably better, the coating's better. So, what makes the Superlight better? It's the clicks. And the reason why the clicks make a lot of people gloss over the factors on the Viper, it's a mouse experience I can't get on any other mouse. I can replace the Viper tomorrow with another mouse. I could replace it with a G Wolves mouse. I could replace it with so many other mice on the market that are lightweight, that feel great. This mouse isn't an to me because of it being the Viper. It's exceptional to me for traits that other mice already have. While the Super Strike is is exceptional because of the one trait it has that no other mouse has, and that's how I would put it. If there's another mouse that happens to get H Tech or something similar enough, then I would get rid of the Super Strike, too. None of these mice are optimal for me. I won't say they're my true end game. They just both have features that I like, and the features on the Super Strike are more unique than the features on the Viper, and it's enough for me to keep the Super Strike over the Viper. Like to say the Viper is a lot more beneficial than the Super Strike just because of those factors I listed, I wouldn't say it's true. Now, if you want me to just tell you what mouse to get based off games, I would say the Super Strike is a lot better if you're somebody that likes to play tac shooters, and make sure you utilize that low actuation because you you will always be mugging and being faster when it comes to that first click shot latency. You will hit that one tap before your enemy does, as long as you you know, you're awake enough. And then with the Viper here, you know, if you're somebody playing tracking games, uh hero shooters where the first click doesn't matter as much as it does in like tac shooters, then yeah, you I mean, you can go to the Viper, and the benefits that the Super Strike would give you would mostly just be a feeling thing. Like all these clicks feel so nice on the Super Strike, and um but they wouldn't really serve you much benefit uh in those kind of games. So, tac shooters, I would advise you trying out the Super Strike, and then for any other really game genre that doesn't rely on first shot accuracy, then uh the Viper is completely fine. But, doesn't mean you can't play tac shooters with the Viper. A lot of pro players are using the Viper V4 Pro and still using the Viper V3 Pro, and uh from what I've seen in pro settings, these are actually pretty even. So, a quick video, and uh yeah, I hope you guys have a great day, whichever mouse you choose. I'm sure you'll like, and uh follow me on Twitter as well, and check out the description for some cool stuff. And yeah. Exit code: 0
| Logitech G Pro X2 Superstrike | Razer Viper V4 Pro | |
|---|---|---|
| Price | $179 | $159 ($20 cheaper) |
| Weight | 61 g (front-heavy) | 50 g (well-balanced) |
| Battery | ~90–95 hr @ 1K | 180 hr @ 1K |
| Switches | Haptic "H-Tech" (vibrates, no physical click, software-tunable, rapid trigger) | Gen 4 optical (tactile but loud) |
| Skates | Bad stock skates (glass-optimized — plan to replace) | Full-size, fast, great out of the box |
| Scroll wheel | Standard encoder (historically failure-prone) | Optical encoder (pet-hair resistant) |
| Side buttons | Standard | Reportedly fastest on the market |
| Coating | Picks up fingerprints, slightly sticky at front | Nice chalky/smooth coat (white version) |
| Dongle | Light, plain, falls off desk easily | Heavy "hemisphere" dongle with LEDs, stays put |
| Cable/charging | Annoying stock cable | Better cable |
| Software | G Hub (must download) | Web-based Synapse (no install) |
Bottom line from the video: Razer won the hardware battle across the board, but Logitech's haptic clicks are unique enough that for tac-shooter players the Superstrike is still worth the premium — otherwise, get the Viper.