The future of software development

Set a goal.
Go to sleep.

CesaFlow's Full Autonomy OS decomposes your goal into tasks, executes them in sequence, self-corrects on failure, learns from every mistake, and deploys — all without you pressing "continue".

Try Goal Mode Free →Read the Docs

How Full Autonomy Works

🎯

STEP 01

You Set a Goal

Not a prompt — a goal. "Build a SaaS product for project management with teams, billing, and deploy to Vercel." That's it. You're done.

🧩

STEP 02

AI Decomposes Into Tasks

CesaFlow's planning AI breaks your goal into 3-7 concrete, sequential tasks. Each has its own objective and acceptance criteria. You can review — or just let it run.

👔

STEP 03

Agent Organization Executes

CEO Agent strategizes. CTO Agent designs architecture. Backend + Frontend Devs code in parallel. QA Agent tests. DevOps Agent deploys. 7 roles working like a real team.

🔁

STEP 04

Self-Corrects on Failure

Tests fail? Agent reads the full error, identifies root cause, and retries — up to 3 attempts. Learning Engine records the pattern so it never happens again.

🔗

STEP 05

Chains to Next Task

Task 1 done? Task 2 starts automatically. Workspace persists — agents see what was already built. Nested continuations support unlimited depth.

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STEP 06

Learns & Adapts

Digital Clone tracks your preferences. Learning Engine avoids past mistakes. Performance Tracker recommends optimal models. Every run makes the next one smarter.

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STEP 07

Ships the Result

Code is committed. PR is opened (with approval gate if you want). Deploy configs generated. Download workspace or push to production. Done while you slept.

The Autonomy Stack

Every layer works together to enable true autonomous execution.

Goal Mode

POST /runs/goal/start

AI decomposes high-level goals into 3-7 executable tasks with acceptance criteria.

Multi-Run Chaining

continuation config

Tasks chain automatically: on_success, on_failure, always, spec_pass. Nested continuations.

Agent Hierarchy

3 personas

7 specialized roles (CEO→CTO→Dev→QA→DevOps) with inter-agent communication.

Self-Debugging Loop

max 3 retries

Validation failure → error analysis → auto-retry (3 attempts). Tests must pass.

Learning Engine

never same mistake

Error patterns recorded, fixes tracked, lessons injected into future prompts.

Digital Clone

adaptive

Learns your tech stack, style, frameworks. Makes autonomous decisions when you're away.

Auto-Optimization

GET /auto-config

Performance tracker recommends optimal model, strategy, and provider from history.

Guardrails

policy enforcement

Cost limits, runtime caps, tool allowlists, command blocklists. Safety without supervision.

Real Example

cesaflow — goal mode

$ POST /api/v1/runs/goal/start
{
  "goal": "Build a complete SaaS for project management with
           teams, tasks, Stripe billing, and deploy to Vercel"
}

✓ Goal decomposed into 5 tasks:

  1. Build user auth with JWT + team management API
  2. Create task CRUD with project organization
  3. Add Stripe subscription billing (free/pro/enterprise)
  4. Build React dashboard with real-time updates
  5. Generate Vercel deploy config + run tests

⚡ Task 1/5: Building auth system...
  → CEO Agent: "Prioritize security. JWT with refresh tokens."
  → CTO Agent: "FastAPI + SQLAlchemy + PostgreSQL"
  → Backend Dev: Writing routes, models, schemas...
  → QA Agent: 12/12 tests passing ✓

🔗 Chaining to Task 2/5: Task management...
  → Workspace persisted. 8 files from Task 1 available.
  → Backend Dev: Adding CRUD routes on top of existing code...
  → QA Agent: 18/18 tests passing ✓

🔗 Task 3/5: Stripe billing...
  → Learning Engine: "Avoid double webhook processing (learned from Run #47)"
  → Backend Dev: Checkout + subscriptions + webhook handler...
  → QA Agent: 14/14 tests passing ✓

🔗 Task 4/5: React dashboard...
  → Digital Clone: "User prefers React + Tailwind + TypeScript"
  → Frontend Dev: Building components, layouts, API integration...
  → QA Agent: E2E tests passing ✓

🔗 Task 5/5: Deploy config...
  → DevOps Agent: vercel.json + .env.example + Dockerfile
  → QA Agent: Build succeeds ✓

✅ Goal completed in 47 minutes
   23 files · 5 tasks · $0.12 total · 0 human interventions
   PR #1 opened · Deploy config ready

Why This Changes Everything

AI Assistants (Copilot, Cursor)

You write code. AI suggests completions. Every line needs your input. You're the bottleneck.

AI Agents (Devin)

Single agent tries everything. No hierarchy. No learning. $500/month. Stops when stuck.

CesaFlow Autonomy OS

Set a goal. 7-agent organization executes. Self-corrects. Learns. Chains tasks. Ships while you sleep. $0 to start.

Stop coding. Start directing.

Your AI operating system is ready. Set a goal and let it ship.

Start Goal Mode Free →

Set a goal.Go to sleep.