Role-Scoped AI Agents in the SDLC: A Practical Setup with Claude Code and Cursor
Original: I Gave AI Agents Actual Job Descriptions. My Team's Delivery Speed Went Up 300%. Here's the Setup
Short summary
The author describes rebuilding their software development lifecycle around role-scoped AI agents using Claude Code and Cursor, treating each agent like a new hire with a written job description, scope boundaries, and quality gates. After a year of iteration, their team achieved faster delivery by running separate agents for backend, UI, QA, architecture review, and documentation—each with versioned rule files checked into the repo. The key lesson: start with one narrow process, validate on real work, and only add parallelism once automated quality gates are stable.
- •Treat AI agents like new hires: give them a role, scope, written rules, and quality gates before human review
- •Roll out one role-scoped agent at a time on real tickets before adding parallelism or agent swarms
- •Keep architecture decisions and business-logic correctness human-reviewed; automated review catches style but not intent drift
Generated with AI, which can make mistakes.
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