Specialized agents, not generic AI
Each agent has a clear role, decision scope, and accountability. No "super-agent" trying to do everything.
METHODOLOGY
A traditional software factory needs PM, PO, SM, Dev, QA, DevOps. Reche has them too — just virtual. RecheOS runs the complete pipeline, from brief to deploy, with AI agents specialized in each role.
Each agent has a clear role, decision scope, and accountability. No "super-agent" trying to do everything.
Zero TypeScript errors. Zero lint warnings. Green build. Automated tests. No code reaches production without passing.
The client holds strategic authority. Agents execute. The human decides, validates, and approves at every gate.
RecheOS is how Reche builds: specialized AI agents do each step of the work, and nothing moves forward until a person checks and approves it.
You decide what matters. The agents do the work. A person checks it.
We talk about the problem, who it affects, and what needs to change.
Everything becomes a written plan: what to build, for whom, and how we'll know it's done.
The plan becomes small deliveries that can be checked one by one.
We settle how it looks and how it's used before we build.
AI agents build it, following quality rules at every step.
Automated tests and review before anything reaches you.
The system goes live from the first deliveries and keeps getting adjusted.
Zero `any`. Zero errors. `noUncheckedIndexedAccess` on.
Build passes with zero warnings on every commit that lands on main.
ESLint with senior rules (no-console, no-unused-vars, react-hooks).
A reviewer agent analyzes the PR before merge — flags risks and suggests fixes.
Product strategy, scope decisions, deliverable validation, release approval — the human has the final word. What we automate is engineering: the repeatable, auditable, measurable process.
Every Reche project runs through this pipeline. Book a diagnosis and see it in action.