Use Cases
Coding
Ship 10x the software with the same team.
Production code, not vibes. I rebuild your delivery pipeline around Claude Code, plan-mode discipline, skills, and subagents — so a senior engineer ships a week of work before lunch.
- End-to-end: PBI → plan → build → review → deploy
- Custom skills + hooks tailored to your codebase
- Existing-stack-aware — TypeScript, Python, Go, Rust, whatever
Why
Most teams could ship 10× more, but the bottleneck isn't the IDE — it's the loop: ticket → context → branch → review → merge → deploy. Tune that loop with agents and the team's throughput jumps without hiring.
How
- Audit the delivery loop; find the step that's eating wall-clock
- Wire skills + hooks specific to that step
- Subagents in parallel for review, test, and migration
Proof
- Senior dev throughput
- ≈10×
- Stacks shipped on
- TS · Py · Go · Rust
- Sites live
- 13 + counting
Coding with Claude Code — the production loop
PBI · plan · build · review · ship
Hover or tap a node to see details.
FAQ
- What's the realistic productivity gain?
- 2–3× on routine engineering, higher on greenfield, much higher on bug-bash and migrations. The variance is in harness setup quality — generic Claude Code is a tool; tuned Claude Code is a teammate.
- Does this work for legacy codebases?
- Yes — that's where the gains are biggest, because legacy code is mostly about reading and pattern-matching. Tune the harness to the repo (skills, hooks, CLAUDE.md), then unleash.
- How do you keep quality high?
- Plan mode for risk, subagent reviewers for fresh-context PR reads, tests as the hard gate, CI on every PR. The harness blocks shortcuts by default.
In production
- 13 sites, one engineer
13 production Next.js sites built and maintained by one person on Claude Code + APPAI.
See it - 1 POM-day median
Median PBI → live URL is 1 POM-day across the fleet. Plan mode + skills + tests are the lift.
- bo28 backoffice
Multi-tenant backoffice shipped on Claude Code — Supabase + MongoDB + S3 + audit log.