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Vibe-Based Development

Vibe Coding, Scaled to Production

Describe features in plain English. chAIrman breaks them into milestones, hires specialized AI agents, and ships production code. You set the vibe. Agents do the work.

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The New Paradigm

What is vibe coding?

Vibe coding is the practice of describing what you want to build in natural language and letting AI handle the implementation. Instead of writing code line by line, you express intent at a high level and let autonomous agents figure out the details: architecture, file structure, error handling, tests.

The term captures a shift in how software gets built. You stop thinking about syntax and start thinking about outcomes. What should this feature do? What are the edge cases? What does the user experience look like? You answer those questions, and AI agents write the code.

  • Describe a feature like you would in a product requirements doc or a Slack message to your team
  • chAIrman's CEO workflow breaks your description into milestones and tickets automatically
  • Specialized agents handle each piece: database schema, API routes, frontend UI, tests
// You describe the vibe: "Build a user authentication system with email/password login, Google OAuth, password reset flow, and session management. Use PostgreSQL for storage and Express for the API. The frontend should be a clean, minimal login page." // chAIrman creates a backlog: // Milestone 1: Database Schema // Milestone 2: Auth API Routes // Milestone 3: OAuth Integration // Milestone 4: Frontend Login UI // Milestone 5: E2E Tests // 5 agents hired, pipelined, // and working autonomously.
The Missing Piece

Vibe coding alone breaks at scale

A single AI agent can handle a single file edit. Real features need coordination across multiple files, multiple concerns, and multiple agents.

1

One Agent, One Task

Vibe coding with a single agent leads to context window exhaustion on complex features. chAIrman splits work across focused agents that each handle one milestone with defined file boundaries, so no agent gets overwhelmed.

2

Dependency Pipelines

The database agent must finish before the API agent starts, and the API must exist before the frontend integrates. chAIrman's pipeline system handles this ordering automatically with cycle detection and critical path analysis.

3

Skills Injection

When you say "build a Stripe integration," the agent automatically receives relevant skills from an 857-file library. It gets domain-specific knowledge for payments, webhooks, and idempotency without you writing the context manually.

4

Verification Agents

Every pipeline ends with a QA agent that checks the other agents' work against the success criteria in each ticket. You set the quality bar in plain English, and the verification agent enforces it.

5

Auto-Retry

When an agent fails, chAIrman replaces it with a fresh agent that inherits the original's handoff notes. The retry knows what was attempted and where it broke. Up to 3 automatic retries per agent.

6

Cost Visibility

Vibe coding can get expensive if you're not tracking costs. chAIrman shows per-agent, per-task, and per-project costs in real time. Set a budget, and the system refuses to spawn agents that would exceed it.

The Workflow

From vibe to production in 4 phases

chAIrman enforces a structured workflow that turns your high-level description into shipped code. The CEO (Claude in Claude Desktop) acts as your project manager, breaking work into backlogs, hiring agents, assigning tickets, and monitoring progress.

  • Phase 1 — Plan: The CEO creates a backlog with milestones from your description. You review and approve before any agent is hired.
  • Phase 2 — Ticket: Each milestone gets tickets with specific files, boundaries, and success criteria. One ticket per agent.
  • Phase 3 — Execute: Agents are hired and assigned tickets. Dependencies are respected. Parallel work happens automatically.
  • Phase 4 — Verify: QA agents check all work. The CEO reports results. Completed agents are archived. Knowledge is preserved.
// Monitor agents in real time batch_status({ project: "my-app" }) // Returns: // ID Role Status Cost // a1 DB Engineer done $0.42 // a2 Backend Lead working $0.78 // a3 Frontend Lead waiting --- // a4 QA Engineer waiting --- // // Pipeline: a1 -> a2 -> a3 -> a4 // a3 starts when a2 finishes // a4 starts when a3 finishes // Total spend: $1.20 / $5.00 budget
54
MCP Tools
10
Agent Templates
857
Skills Injected
3
Auto-Retries
Common Questions

Vibe coding FAQ

What is vibe coding?
Vibe coding is a development approach where you describe what you want to build in natural language and let AI agents handle the implementation. Instead of writing code line by line, you express the intent ("build a user auth system with OAuth and session management") and AI figures out the architecture, file structure, and code.
Can vibe coding produce production-quality code?
With proper orchestration, yes. The key is structure: splitting work into focused tasks, enforcing file ownership so agents don't conflict, running verification agents that check against success criteria, and auto-retrying failures. chAIrman provides all of this out of the box. A single agent pasting code into one file is fragile. A managed team of agents with pipelines and quality gates is production-grade.
How detailed do my descriptions need to be?
As detailed as a product requirements doc or a good Slack message to your engineering team. You describe what the feature should do, what tech stack to use, and any constraints. The CEO breaks this into milestones and tickets, adding the technical specifics like file paths, database tables, and API endpoints.
What if an agent builds something wrong?
Every pipeline should end with a verification agent that checks work against the success criteria defined in each ticket. If work doesn't meet the bar, you can replace the agent (which inherits the handoff notes), post messages to guide the replacement, or update the ticket with more specific requirements.
How much does vibe coding with chAIrman cost?
chAIrman plans start at $19.99/month. The AI compute cost depends on your Anthropic API usage. chAIrman tracks costs per-agent, per-task, and per-project. Set a budget, and the system enforces it automatically. Sonnet-class agents typically cost $0.20-$0.80 per task; Opus-class agents cost $1-$5 for complex tasks.
Do I still need to know how to code?
Understanding code helps you write better descriptions and verify agent output, but you don't need to write code yourself. chAIrman's CEO workflow handles the translation from high-level intent to specific agent tasks. Many users describe features in product terms and let the CEO handle the engineering decomposition.

Ready to vibe code at scale?

Describe features. Ship production code. Let AI agents handle the rest. From $19.99/mo.

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