Framework
Vibes Inside Guardrails
A framework for production-ready AI-assisted development. The vibe-coding pattern, with the guardrails that make it safe to ship in regulated environments.
The five principles
Vibe the prototype
Use AI to build the prototype fast. The whole point of vibe coding is to get from idea to working code in hours, not weeks. Don't over-engineer the prototype.
Audit before you commit
Before any AI-generated code reaches main, run it through a structured audit: security, RLS, exposed API keys, performance, accessibility. The audit is the gate. No audit, no commit.
Wrap in guardrails
The production code is not the vibe code. Wrap the vibe code in production guardrails: error handling, retry logic, observability, kill switches, audit logs. The guardrails are what make it production-safe.
Test the integration
Unit tests are not enough. Test the integration: the AI tool calls, the database queries, the API endpoints. The integration is where the bugs hide.
Observe in production
Once in production, observe. The agent's behaviour, the response times, the error rates, the cost. The dashboard is the early warning system.
FAQ
What is Vibes Inside Guardrails?
A framework for production-ready AI-assisted development. The pattern is: vibe the prototype, audit before commit, wrap in guardrails, test the integration, observe in production. The vibe-coding pattern is fast; the guardrails are what make it production-safe.
Why do we need guardrails around AI-generated code?
AI-generated code is fast but untrustworthy. The models are not auditable. The integration is where the bugs hide. Without guardrails, vibe-coded prototypes end up in production and create a maintenance debt that kills the team. With guardrails, the prototype is the start of a production system, not the end.
What are the guardrails in the Vibes Inside Guardrails framework?
Six guardrails: (1) security review (exposed API keys, RLS); (2) performance audit (latency, throughput, cost); (3) accessibility check (WCAG); (4) error handling (try/catch, retry, fallback); (5) observability (logging, metrics, tracing); (6) kill switch (the operator can stop the agent in under 30 seconds).
How is Vibes Inside Guardrails different from traditional code review?
Traditional code review assumes the developer is competent. AI-generated code can be competent on the happy path and broken on the edge cases. The Vibes Inside Guardrails framework adds an AI-specific audit step that focuses on the edge cases: RLS bypass, exposed secrets, race conditions, error handling. The result is a different kind of review.
Who uses Vibes Inside Guardrails?
The framework is used by Neul Labs and the AI teams that Dipankar has advised. The book "AI for Everyday Automation: 7 AI Workflows to Save Hours at Work Every Week" (Packt, July 2026) covers the framework in more detail — available for pre-order on Amazon. The framework is also referenced in the AI Codebase to Production consulting engagement on dipankar.co.