techygarg/lattice
133 stars · Last commit 2026-06-13
Install engineering discipline into any AI coding assistant. Composable skills for design, implementation, review, and team standards. Better process, not just better prompts.
README preview
# Lattice <p align="center"> <img src="docs/image/logo.png" alt="lattice" width="500" height="500"> </p> Composable AI skills that teach assistants structured thinking — design-first, context-aware, and architecture-guided. [](LICENSE) [](https://claude.ai/marketplace) [](https://cursor.com) [](https://github.com/techygarg/lattice/blob/main/CONTRIBUTING.md) [](https://martinfowler.com/articles/reduce-friction-ai/) [](https://starmapper.bruniaux.com/techygarg/lattice?utm_source=badge&utm_medium=readme&utm_campaign=stargazer-map) ## What is Lattice? AI coding assistants jump straight to code, silently make design decisions, forget constraints mid-conversation, and produce output nobody reviewed against real standards. Lattice fixes this with composable skills in three tiers — atoms, molecules, refiners — that embed battle-tested engineering disciplines plus a living context layer that accumulates your project's standards, decisions, and review insights across every feature cycle. Three principles guided Lattice's design: