Better context beats louder prompting
Agala AI is an experiment in turning engineering judgment into reusable operating context. Instead of asking one agent to improvise every role, it gives planning, design, implementation, and verification their own boundaries.
The repository is intentionally plain. Agents and skills are reviewable text; stack definitions make architectural expectations visible; narrowly-scoped recipes make recurring implementation work consistent.
A practical orchestration model
The system covers the full delivery loop without pretending every task needs a large process. Small skills handle concrete work. Specialist agents own broader review or implementation responsibility. Global rules keep security and code quality expectations constant across both.
What it demonstrates
- Product thinking applied to developer tooling
- Agent orchestration through explicit responsibility boundaries
- Reusable technical standards for Nuxt, Vue, and Go
- A bias toward inspectable, vendor-light workflows