Most AI coding tools work sequentially: you ask a question, the model answers, you ask again. This mirrors pair programming with a single developer — effective, but limited by one person's bandwidth.
CesaFlow takes a team-based approach. When you describe a feature, multiple specialized agents activate simultaneously.
The Agent Pipeline
1. Planner Agent — reads your objective and generates a full API contract: endpoints, schemas, data models, and implementation notes. It writes a plan.md that all other agents read.
2. Backend Agent — reads the plan, implements the API (FastAPI by default), writes tests, creates requirements.txt and README.
3. Frontend Agent — reads the same plan, builds the UI layer (React/Next.js), connects to the backend API.
4. QA Agent — runs the generated tests, reads error output, identifies root cause, and retries automatically up to 3 times.
Why Parallelism Matters
Backend and Frontend agents run simultaneously after the Planner finishes. A feature that would take 40 minutes sequentially takes ~20 minutes in parallel. At scale, this compounds: a 5-feature sprint goes from 4 hours to under 2.
Self-Debugging Loop
When QA finds a failing test, the relevant agent (Backend or Frontend) reads the full error output, identifies the root cause in context, and retries with a fix. This loop runs up to 3 times before surfacing the error to you.