Agentic Dev — Development skill for Claude Code
Turns a checked-in plan.md into reviewed pull requests.
How to install Agentic Dev
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open vfedotovs/agentic-dev and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Agentic Dev does
Turns a checked-in plan.md into reviewed pull requests. Three cron-driven stages — slice into issues, write failing tests, then implement until green — each running Claude Code or Grok in a disposable Docker container. Test-first by construction; human review is the only merge gate.
Alternatives in Development
- Clawk — Give coding agents a disposable Linux VM, not your laptop 996 ★
- Taskmaster — Stop hook for Claude Code that keeps the agent working until all plans and user requests are 100% complete 494 ★
- Convex Cron Jobs 354 ★
README
agentic-dev
A three-stage agentic pipeline that turns a checked-in `plan.md` into merged pull requests, so a Python project can go from 1–2 hand-written PRs/week to 10–20+ agent-produced PRs/week — with **human review as the only merge gate**.
plan.md ─▶ [1 slice] ─▶ GitHub issues ─▶ [2 write-tests] ─▶ failing-tests branch ─▶ [3 implement] ─▶ PR ─▶ human review ─▶ merge
daily ≤10/day ≤10/day
[gc] daily: retire stale branches/PRs, unstick dead runs
Each stage runs an agent CLI — `claude` (Anthropic) or `grok` ([xai-org/grok-build](https://github.com/xai-org/grok-build)), selected with `AGENT_BACKEND` — inside a disposable Docker container, does one unit of work, and hands off through **issues** and **branches/PRs** — never shared local state. See [`agentic-dev-plan.md`](agentic-dev-plan.md) for the full design rationale, label state machine, rollout plan, and failure-mode analysis.
Repository layout
agentic-dev-plan.md design doc (read this for the "why")
README.md this file
Dockerfile builds agentic-dev:{claude,grok}-latest
.dockerignore build context is an allowlist: agentic/ only
Makefile build / run / operate targets (`make help`)
examples/plan.md sample plan.md the slicer consumes
agentic/
entrypoint/ run INSIDE the container, one unit of work each
slice.sh Stage 1 — plan.md -> issues
write-tests.sh Stage 2 — issue -> failing tests (env: ISSUE)
implement.sh Stage 3 — failing tests -> green -> PR (env: ISSUE)
gc.sh housekeeping
lib/
common.sh shared bash helpers: phases, the exit trap,
budget_guard, run_agent, the heartbeat
stream_filter.py summarises the agent's NDJSO
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