piotrjura

piotrjura / pm

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pm - project manager for agentic coding

usepm.dev agentic-ai claude-code claudecode cli
19
2
100% credibility
Found Mar 12, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

pm is a project manager tool for AI coding agents like Claude that enforces planning before editing, tracks scope to prevent sprawling changes, logs decisions for continuity across sessions, and provides commands like pm recap, pm log, pm why, and pm show.

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AI-Generated Review

What is pm?

pm is a TypeScript CLI tool with a terminal UI that acts as a project manager for AI coding agents like Claude Code. It enforces structured workflows—tracking features, phases, tasks, and issues in a local JSON store—preventing agents from editing code without an active task or letting changes sprawl across files. Hooks integrate directly with Claude Code to block unsanctioned edits, inject context into prompts, and brief sessions on prior progress and decisions.

Why is it gaining traction?

Unlike GitHub Copilot's autocomplete or generic project github actions, pm stands out as a github pm tool tailored for agentic coding, logging decisions searchable via `pm why` and auto-cleaning stuck tasks on session start. Developers notice the enforcement: no more redeciding architecture or ballooning refactors, with `pm recap` handing off perfect context between Claude sessions. It's lightweight, zero-server, and hooks merge non-destructively.

Who should use this?

Solo devs or teams using Claude Code for full features, like ethereum pm github prototypes or lighthouse pm github optimizations. Ideal for github pm roles managing AI-driven projects, where agents handle implementation but need human oversight on scope—think frontend tasks broken into phases or quick nginx pm github bug triage via `pm add-issue`.

Verdict

Try pm if you're deep into Claude Code; its docs and CLI like `pm next` make it instantly usable despite 15 stars and 1.0% credibility score signaling early maturity. No tests visible, but solid for agentic experiments—install globally and init in your next project github example.

(178 words)

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