Picado Labs

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

Instead of trusting a monolithic AI prompt, PicadoLabs divides the software engineering lifecycle into four verifiable, specialized open-source systems.

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Core Systems

Project	The Problem	The Picado Edge	Contribute Now
build-with-ai	AI coding suffers from context drift, blank-canvas paralysis, and broken code.	Zero-API CLI, 11 production templates, and persistent .buildwithai/ memory (1.4k+ downloads • 30+ contributors).	Issues
AI Model Router	Ballooning API costs, rate limits, and unpredictable model latency.	Sub-3ms Pareto Traffic Control Room UI with Thompson Sampling RL (3.7k+ downloads • 13+ contributors).	Issues
Terminal Agent	Autonomous coding agents make unverified changes and break repository builds.	Verify-first sandboxing (Docker/psutil), 12 core tools, self-healing, and rollback (1.4k+ downloads • 4+ contributors).	Issues
Agent Bench	Existing benchmarks test isolated toy prompts rather than multi-turn agents on codebases.	12 polyglot benchmarks, local Ollama mode ($0 cost), GitHub PR ingestion, and 5D scoring (700+ downloads • 4+ contributors).	Issues

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Install Packages

# 01 / Plan: build-with-ai - CLI architecture prompt architect
npm install -g build-with-ai

# 02 / Route: AI Model Router - Sub-3ms routing engine & traffic UI
pip install model-router-cli

# 03 / Execute: Terminal Agent - Verify-first autonomous coding agent
pip install terminal-agent-cli

# 04 / Evaluate: AgentBench - Agent evaluation & benchmark suite
pip install agentbench-core

Community

Maintained by @Vardhman Gupta & the PicadoLabs open-source community.
Open source under Apache-2.0. Contributions, issue reports, and PRs are welcome across all repositories.

Official Website • GitHub Organization • X (@PicadoLabs)