nikhilgarg28

nikhilgarg28 / delegate

Public

Delegate your coding work to a team of agents

102
13
100% credibility
Found Feb 17, 2026 at 21 stars 5x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Delegate runs a persistent team of AI agents locally to plan, code, review, and merge changes into your git repositories through a real-time web interface.

How It Works

1
🔍 Discover Delegate

You find Delegate, a helpful AI team for coding, and install it easily on your computer.

2
🚀 Start your team

Run a simple command, and a web page opens showing your new AI team ready to work.

3
💬 Describe your idea

Chat in plain English about what you want to build, like 'Add a health check page'.

4
👥 Watch the team collaborate

The manager splits your idea into tasks, assigns engineers who code and review each other.

5
🔍 Check the progress

See live updates as code is written, tested, and reviewed right in your browser.

6
✅ Approve and merge

Review the final changes, give the thumbs up, and watch it safely added to your project.

🎉 Your project is updated

Your code is now live in your files, and your AI team remembers everything for next time.

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AI-Generated Review

What is delegate?

Delegate hands off your coding work to a local team of AI agents powered by Anthropic Claude models. Say "add a health endpoint with uptime and version," and the manager agent splits it into tasks, assigns engineers to code in git worktrees, triggers peer reviews, and merges to main—all in a real-time browser UI. Unlike GitHub Copilot's one-shot autocompletions, this delegate coding agent persists context across sessions, remembering your repo patterns without cloud uploads.

Why is it gaining traction?

It flips the delegate meaning in coding from vague delegation to a full dev lifecycle: planning, coding, reviewing, testing, merging—with agents critiquing each other for better quality than solo prompts. The live UI lets you watch tasks flow (todo → in_review → approval), run shell commands inline, and approve diffs without terminal hopping; sandboxing keeps agents locked to your repos. Beats delegate to agent GitHub Copilot by running offline-ish (local git only) with zero idle costs.

Who should use this?

Python backend devs grinding CRUD APIs, refactoring config modules, or fixing pagination bugs in side projects. Solo founders prototyping features without a real team, or VSCode tinkerers testing delegate to coding agent workflows beyond autocomplete. Skip if you need remote GitHub PRs or enterprise CI—it's local repos only.

Verdict

Try it for agentic experimentation: pip install, delegate start, and delegate tasks in minutes. 1.0% credibility reflects 18 stars and alpha status—great docs/quickstart, E2E tests pass, but polish workflows before production. Stars if your local experiments stick.

(187 words)

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