Automated Review Setup
Deploy tools that automate style, security, and quality checks so humans can focus on design and logic.
Context
You are helping a tech lead configure automated review tooling. If you have language/framework specifics or known pain points, use them.
Domain Context
- Research: automated tooling catches 60-70% of style and security issues faster than human review
- High-performing teams (Forsgren et al.): automate what you can; humans review design, not formatting
- Tool proliferation is a risk: too many tools create overhead and false positives
Key principles:
- Automate the tedious: Style, formatting, dependency audits—these have obvious correct answers
- Humans review the hard stuff: Design patterns, API contracts, architectural decisions
- Signal-to-noise matters: Tools with high false-positive rates get disabled. Keep tools tuned to your codebase
Instructions
Choose core tools by language:
- Linting: ESLint (JS), pylint (Python), RustFmt (Rust), etc.
- Formatting: Prettier, black, rustfmt (auto-apply if possible)
- Testing: Run test suite, check coverage
- Security: Snyk, OWASP Dependency Check, or language-native tools
- SAST: SonarQube, CodeQL, or native language tools
Configure autofix: Format automatically (no human decision), fail linter errors (require human fix)
Add PR automation: Auto-comment on failures with actionable messages and links to docs
Set up for local development: Developers should run tools locally before pushing (pre-commit hooks or pre-push)
Don't over-instrument: More tools = slower CI and more noise. Start with 3-4 core tools; add more only if solving a real problem
Measure tool accuracy: Track false positives (tool failed, PR approved anyway). If > 30%, tool is miscalibrated or unnecessary
Example minimal setup:
Stage 1 (lint, < 2min): Linter, formatter, secrets scan
Stage 2 (test, < 10min): Unit tests, coverage check
Stage 3 (security, < 5min): Dependency audit, SAST
→ All must pass to enable merging
Anti-Patterns
- Too many tools: LLMs sometimes recommend 10+ different tools. This creates slow CI and alert fatigue. Focus on the 3-4 that catch real problems
- Tools that require human interpretation: "Code review readiness score of 72/100" is vague. Use tools with clear pass/fail criteria
- Not testing tools against your codebase: Tools configured generically might fail on your code baseline. Always test tools on main before enforcing
- Disabling tools instead of fixing code: Teams that keep disabling tool failures train bad habits. If a tool keeps failing, investigate if the tool is wrong or the code is
Further Reading
- Martin Fowler's "Continuous Integration" blog: excellent on automation in CI pipelines.
- Kim, Gene et al. "The DevOps Handbook." IT Revolution Press, 2016. Chapter on deployment pipeline design.
- OWASP Top 10: guidance on security tooling and what to scan for.
1---2name: automated-review-setup3description: Set up automated code review tools (linters, SAST, dependency scanning) to reduce manual review burden. Use when configuring CI/CD toolchains.4---56# Automated Review Setup78Deploy tools that automate style, security, and quality checks so humans can focus on design and logic.910## Context1112You are helping a tech lead configure automated review tooling. If you have language/framework specifics or known pain points, use them.1314## Domain Context1516- Research: automated tooling catches 60-70% of style and security issues faster than human review17- High-performing teams (Forsgren et al.): automate what you can; humans review design, not formatting18- Tool proliferation is a risk: too many tools create overhead and false positives1920Key principles:21221. **Automate the tedious**: Style, formatting, dependency audits—these have obvious correct answers232. **Humans review the hard stuff**: Design patterns, API contracts, architectural decisions243. **Signal-to-noise matters**: Tools with high false-positive rates get disabled. Keep tools tuned to your codebase2526## Instructions27281. **Choose core tools by language**:29 - Linting: ESLint (JS), pylint (Python), RustFmt (Rust), etc.30 - Formatting: Prettier, black, rustfmt (auto-apply if possible)31 - Testing: Run test suite, check coverage32 - Security: Snyk, OWASP Dependency Check, or language-native tools33 - SAST: SonarQube, CodeQL, or native language tools34352. **Configure autofix**: Format automatically (no human decision), fail linter errors (require human fix)36373. **Add PR automation**: Auto-comment on failures with actionable messages and links to docs38394. **Set up for local development**: Developers should run tools locally before pushing (pre-commit hooks or pre-push)40415. **Don't over-instrument**: More tools = slower CI and more noise. Start with 3-4 core tools; add more only if solving a real problem42436. **Measure tool accuracy**: Track false positives (tool failed, PR approved anyway). If > 30%, tool is miscalibrated or unnecessary4445Example minimal setup:4647```48Stage 1 (lint, < 2min): Linter, formatter, secrets scan49Stage 2 (test, < 10min): Unit tests, coverage check50Stage 3 (security, < 5min): Dependency audit, SAST51→ All must pass to enable merging52```5354## Anti-Patterns5556- **Too many tools**: LLMs sometimes recommend 10+ different tools. This creates slow CI and alert fatigue. Focus on the 3-4 that catch real problems57- **Tools that require human interpretation**: "Code review readiness score of 72/100" is vague. Use tools with clear pass/fail criteria58- **Not testing tools against your codebase**: Tools configured generically might fail on your code baseline. Always test tools on main before enforcing59- **Disabling tools instead of fixing code**: Teams that keep disabling tool failures train bad habits. If a tool keeps failing, investigate if the tool is wrong or the code is6061## Further Reading6263- Martin Fowler's "Continuous Integration" blog: excellent on automation in CI pipelines.64- Kim, Gene et al. "The DevOps Handbook." IT Revolution Press, 2016. Chapter on deployment pipeline design.65- OWASP Top 10: guidance on security tooling and what to scan for.
sethdford