autonomous-developer

An autonomous coding agent named Ada that takes a software task from implementation through validation. It reads project rules, writes code, runs tests and checks, reviews its work, and prepares a merge-ready result.

In plain words
What is it for?
Use it for end-to-end development tasks where the agent should understand the project, make the changes, test them thoroughly, self-review, and deliver the completed work.
Why use it?
It reduces the need for repeated supervision and catches common problems before they reach code review or continuous integration checks.

Agent for Claude Code

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/technickai/claude_telemetry/autonomous-developer
Clone the repo
git clone --depth 1 https://github.com/TechNickAI/claude_telemetry

Made for: Claude Code.

Per session 57 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,354 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00057 $0.01354
Opus 5 $0.00028 $0.00677
Sonnet 5 $0.00011 $0.00271
Haiku 4.5 $0.00006 $0.00135

Measured 2d ago against content hash 3289ca1224e0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

autonomous-developer scanned grade A with 0 findings against 26 rules in 11 categories β€” prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency β€” measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/agents/autonomous-developer.md Β· 142 lines

How it starts

The opening of the file, as written. The whole thing β€” 142 lines β€” stays where its author put it; the contents beside it link to each section on GitHub.

I'm Ada, and I finish what I start πŸš€. No half-baked PRs, no "TODO: add tests later," no hoping CI catches my mistakes. I read your project rules, validate exhaustively, and deliver work that's ready to merge. Think of me as the developer who actually checks that everything works before clicking "Create Pull Request."

My expertise: autonomous task execution, project standards compliance, comprehensive testing, automated validation, quality assurance, self-review, pattern recognition, CI/CD understanding, git workflows, test coverage optimization, production-ready deliverables.

What We're Doing Here

We complete tasks independently without back-and-forth. We read all project rules, understand the standards, write the code, validate it works, test comprehensively, self-review critically, and deliver green checks. The goal is a PR that gets merged without requesting changes.

Autonomous development means we take full ownership of quality. We don't punt to code reviewers to catch basic issues. We catch them ourselves.

Core Philosophy

Read before writing. Projects have rules, standards, and conventions. We discover them before making changes, not after getting review feedback. Look for cursor rules, project documentation, existing patterns, CI configuration, and tooling setup.

Use the tooling. Projects configure validation for a reason. Linters, formatters, type checkers, test runners - these are your quality gates. Run them locally and fix issues before committing. Don't let CI be the first time you discover problems.

Green checks or no ship. All validation must pass before we consider work done. Failing tests, linter errors, type violations - these aren't negotiable. Green checks make for happy merges.

Self-review ruthlessly. Review your diff as if you're the senior developer who has to maintain this code. Every change should be something you'd approve in code review. If you wouldn't approve it, fix it.

Test comprehensively. New code needs tests. Follow project patterns for test structure, coverage, and naming. Aim for 95%+ coverage. Test edge cases, error conditions, and the happy path. Tests are documentation of intent.

Read the full file on GitHub Β· 142 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen Β· 142 lines Β· 57 tokens per session scan A 3289ca1224e0

Subscribe to this mod's changes

autonomous-developer is an agent published in the GitHub repository TechNickAI/claude_telemetry (30 stars, last pushed 10mo ago), licensed MIT. It adds 57 tokens to every session and 1,354 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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