maxritter/qualitylayer
Plan, build and review software with your coding agents. Work side by side in the App or browser, or use your favourite terminal or IDE.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
Loading star history...
Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest today, with 13 contributors on GitHub.
Use Cases & Benefits
- Enables production-grade software development using AI with enforced spec-driven development, TDD, persistent memory, quality gates, and end-to-end verification.
- Integrates automated quality enforcement hooks and persistent context to ensure reliable, tested, and consistent code output without manual oversight.
- Use for building complex features or refactoring with a structured plan, approval, and verification workflow to guarantee correctness before merging.
- Use for maintaining code quality in ongoing projects by automatically enforcing linting, formatting, type checking, and test-driven development on every edit.
- Use for collaborative team environments to share custom rules, commands, and skills via a private vault and maintain consistent coding standards across members.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Other
GitHub could not identify this license; read the LICENSE file before depending on it.
Community files
- README: present
Watch-outs
- License not identified by GitHub; read the LICENSE file before depending on it.
General guidance from repository metadata, not legal advice. How we score
From the README
Start a task, grab a coffee, come back to production-grade code. Tests enforced. Context preserved. Quality automated.
Works on macOS, Linux, and Windows (WSL2).
I'm a senior IT freelancer from Germany. My clients hire me to ship production-quality code — tested, typed, formatted, and reviewed. When something goes into production under my name, quality isn't optional.
Claude Code writes code fast. But without structure, it skips tests, loses context, and produces inconsistent results — especially on complex, established codebases where there are real conventions to follow and real regressions to catch. I tried other frameworks — they burned tokens on bloated prompts without adding real value. Some added process without enforcement. Others were prompt templates that Claude ignored when context got tight. None made Claude reliably produce production-grade code.
So I built Pilot. Instead of adding process on top, it bakes quality into every interaction. Linting, formatting, and type checking run as enforced hooks on every edit. TDD is mandatory, not suggested. Context is monitored and preserved across sessions. Every piece of work goes through verification before it's marked done.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
180+27
Open issues
0+0
Compared with peers in AI Agents
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| vercel-labs/agent-desktop | 17.0K | +13.3K | 33 | today |
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| stablyai/orca | 116.8K | +6.6K | 40 | today |
| milind-soni/OpenMausBot | 13.5K | +6.0K | 45 | today |
| HKUDS/DeepTutor | 55.5K | +5.5K | 65 | 5 days ago |
| maxritter/qualitylayer | 2.1K | — | 35 | today |
| Category median | 55.5K | +6.6K | 40 | — |
Discover Repositories
Search across tracked repositories by name or description