Picado Labs

Deterministic, verify-first infrastructure for autonomous AI software engineering.

Plan → Route → Execute → Verify → Evaluate

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Picado Labs builds open-source infrastructure that splits AI-driven software development into deterministic, observable stages.

The Ecosystem

Instead of a monolithic AI prompt, we divide the engineering lifecycle into four specialized, verifiable tools:

Project	Stage	The Problem	The Picado Edge
build-with-ai	Plan	Devs struggle to orchestrate AI for large, complex architectures.	Zero-API CLI that guides you step-by-step using your existing ChatGPT/Claude interface.
AI Model Router	Route	Balancing LLM costs, rate limits, and reasoning capabilities is hard.	100% Local & Explainable routing with a visual "Traffic Control Room" UI.
Terminal Agent	Execute	Autonomous agents frequently break builds without strict verification.	Verification-first sandboxing with built-in state checkpoints and instant rollback.
AgentBench	Evaluate	Measuring agent performance objectively is heavy and provider-locked.	Instant GitHub PR Ingestion to create provider-agnostic benchmarks in seconds.

Quickstart

# 1. Plan your project architecture
npx build-with-ai init

# 2. Route prompts to the optimal model
python backend/app/cli/main.py route "Build a secure token bucket rate limiter"

# 3. Execute and verify the code
terminal-agent run "Implement token bucket rate limiter with pytest tests"

# 4. Evaluate the agent's performance
python agentbench.py run --benchmark fix-rate-limiter --provider ollama

See individual repository readmes for full setup instructions.

Contributing & Community

Open source under Apache 2.0. PRs are welcome!

Built by Vardhman (Kap10) — X (Twitter) | LinkedIn | picadolabs.me

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Open source. Practical AI infrastructure. Built to be verified.