parcha-ai

by Miguel Rios

Self-QA a repo's running app end-to-end — discover run/auth/features, build a feature×modality test matrix, execute it live, and produce a witnessed pass/fail report.

by Lauren Tan

Find what a diff breaks beyond the diff and prove the one safety fact by running real code instead of writing it up.

by Miguel Rios

Carry large projects through verifiable tasks, parallel work, and durable progress.

by Parcha Labs

Turn whole-codebase slop into evidence-backed cleanup with the official Desloppify engine.

by Parcha AI

Route coding-agent questions and approvals to a phone call.

by Parcha Labs

Multi-model orchestration or explicit solo execution for coding sessions.

Render Parable's multi-model cast or solo contract inside Claude Code at session start.

by Miguel Rios

Write a grounded recap of a task as if it were already done, then use it to check whether a long-running agent is still on the imagined path.

by Miguel Rios

Indexed local search over Claude Code and Codex session history.

by Miguel Rios

Reconstruct one exact coding-agent session with Recall, git, and complete evidence accounting.

by Greptile AI

Drive every reviewer thread on a GitHub PR (Greptile, Devin, humans) to zero unresolved in bounded iterations, with a fixed-format final report.

by Lauren Tan

Test-driven development at pre-agreed seams: red before green, one vertical slice per cycle, regression-first bug fixes.

by Parcha Labs

Keep Slack threads attached to their originating agents through Hermes.

by Lauren Tan

Cut AI tells from text written or edited for a human reader before committing, posting, or sending it.

by Parcha Labs

Verify that the intended release candidate is live in its target environment and that the changed path works there, with live evidence.