To the CTO: Our AI-Driven Development Policy
This post is intended to share our development policy with the entire team.
Premise: Our Tool Stack
| Tool | Use Case | Impact |
|---|---|---|
| Claude Code | Code generation, refactoring, debugging, testing | 10x implementation speed, task decomposition via parallel subagents |
| OpenClaw | Autonomous AI agent, self-improvement loop | 24/7 operation, automatic fixes and deployments |
| IronClaw/Ouroboros | Self-compiling agent, LINE/Web/TUI integration | Runs improvement cycles without human intervention |
| GitHub Copilot | Inline code completion | Eliminates boilerplate |
Development Process
Requirements → Design with Claude Code → Implementation (AI-generated) → Test → Deploy
^ |
└────────── Sprint Review ← Blog Update ← Meeting ←───────────────────────┘
Cycle time: Previously 2 weeks → Now 2-3 days
What We Do and Don't Do
What we do (mandatory):
- Write and run tests (across all projects)
- Security reviews (OWASP Top 10)
- Performance measurement (response time, memory)
- Back up production data
- Update the blog every sprint
What we don't do (waste of time):
- Debating whether to implement dark mode
- Endless loops of technology selection (we're going with Rust. End of discussion.)
- Waiting for perfect UI/UX before releasing
- Waiting for everyone's consensus before starting
Decision Criteria
When in doubt, ask: "Can we ship it?" If yes, ship it.
- Does it deliver value to users? → If yes, implement it
- Can we write tests for it? → If yes, quality is assured
- Can it be done in a day? → If yes, start without discussion
- Is it reversible? → If yes, we can roll back — ship without fear
Current Status of All Products
| Product | Status | Next Action |
|---|---|---|
| StayFlow (vacation rental SaaS) | SSR complete, 40 routes implemented | Beds24 API integration, Stripe payments |
| StayFlowApp (production) | Live, 500+ properties | KPI monitoring, acquisition funnel optimization |
| chatweb.ai / nanobot | Running in production | Explore Mode improvements, cost optimization |
| IronClaw/Ouroboros | Running autonomously | Add skills, improve trust model |
| MisebanAI (retail AI) | Phase 1 MVP in development | API refactor commit, inference pipeline |
| JitsuFlow (jiu-jitsu) | MVP complete | Start beta testing, dojo partners |
What Changes with AI-Driven Development
Traditional flow:
- Write requirements in Jira (30 min)
- Design review meeting (1 hour)
- Implementation (2-5 days)
- Code review (1 day waiting)
- QA (1 day)
- Deploy (half a day)
AI-driven flow:
- Describe requirements to Claude Code (5 min)
- AI designs → implements → generates tests (30 min - 2 hours)
- Human reviews (15 min)
- Deploy (automatic)
Result: 7-12 days → Half a day to 1 day
A Request to the Team
- Learn how to use AI tools. This is not optional — it's mandatory.
- "AI-written code can't be trusted" is a thing of the past. With tests, quality is assured.
- Don't spend time on minor technical debates. Focus on shipping.
- Sprint results will be published on this blog, doubling as external communication.
Next sprint review: Will be reported on this blog.