deep-implement
Enforces test-driven development and peer review gates during implementation, reducing defect escape and rework costs while maintaining git history traceabil…
Claude Code plugin that implements code from /deep-plan sections with TDD, code review, and git workflow
- Generate test cases and implementation code from detailed planning documents automatically
- Review pull requests against test coverage and code quality standards before merging
- Automate commit creation and git workflow steps during feature development cycles
Enforces test-driven development and peer review gates during implementation, reducing defect escape and rework costs while maintaining git history traceability for compliance.
Engineering teams adopting TDD practices who need structured implementation workflows with automated code review checkpoints.
https://github.com/piercelamb/deep-implement
By piercelamb
How to Get It
claude plugins install piercelamb/deep-implement
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me generate test cases and implementation code from detailed planning documents automatically
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Reddit
- Deep in enemy territory — Reddit · 11134 pts
- I have trained an Artificial Intelligence (deep learning) model to detect brain — Reddit · 10364 pts
- Medallion of the Deep still doesn’t work at fossil island. Can we get this imple — Reddit · 749 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 53 GitHub stars; contributors unknown; last commit 1d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
- Single maintainer. Consider the risk if this person stops maintaining the project.
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Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 53 GitHub stars; contributors unknown; last commit 1d ago; license MIT.