AI Software Developer
Agent harnesses that write, review, and ship code.
Generator and evaluator loops with bounded iterations, security and architecture review agents wired into CI, custom skills and hooks for Claude Code, Codex, Cursor and friends. Pair this with a human reviewer and you get a multiplier.
What you get
4 pillarsGenerator / evaluator loops
A builder agent writes the code; an evaluator agent grades it against the spec and bug-hunts. The loop terminates on quality, not on tries.
Review agents in CI
PR-time agents for security review, architecture review, type-safety review. Block on CRITICAL, surface MEDIUM as comments.
Custom skills + hooks
Bespoke skills, slash-commands, and hooks for Claude Code / Codex / Cursor — distributed as a small plugin per team.
Project memory
Per-repo memory of conventions, instincts, and past decisions so the agent stops re-discovering the same patterns.
Tools we reach for
Not exhaustiveMore in AI Systems Building
Core overview →Personal AI Assistance
A principal-grade assistant across every channel you use.
Business Operations Manager
A multi-agent team that runs a business function 24/7.
RAG + Knowledge Systems
Retrieval-augmented chat over a real corpus, with citations.
Messaging Agents
WhatsApp, Telegram, Discord, Slack, iMessage, and web-chat bots.
Agent Orchestration Platform
A fleet of specialised agents, one bridge across your messaging apps.
Real-Time Voice Agents
Live phone and browser-voice agents with streaming and barge-in.
Custom AI Workflows
Document understanding, autonomous loops, extraction, intelligence.
AI Evals + Observability
Test, trace, and keep agents honest in production.
Frequently asked
4 questionsWhat is an AI software developer engagement?
A generator/evaluator harness that runs alongside your team: AI implements, an evaluator agent reviews against your conventions, and humans approve the merge. Comes with custom skills, hooks, and CI-integrated review for Claude Code, Codex, or Cursor.
How is this different from Copilot or generic AI tools?
Copilot autocompletes; this is full-cycle development with bounded autonomy. The harness knows your repo conventions, runs tests, opens PRs, and self-reviews. It is configured per codebase, not one-size-fits-all.
Will it work with my existing codebase and stack?
Yes — TypeScript, Python, Go, Rust, Java, and most major stacks. The setup includes a codebase scan, convention extraction, and a custom skill set so the agent matches your house style instead of fighting it.
How is production safety handled?
Branch-protected commits, required human review on critical paths, scoped tool permissions, and full audit logs of every action. The agent never pushes to main directly; risky operations always gate behind explicit approval.
Sounds like the bucket you’re in?
Tell me what you’re trying to build. I’ll send a written proposal within 48 hours of our discovery call.