A framework for Forward Deployed Engineers: from problem statement to a deployable AI project — every decision traced to a fact, every fact to a source.
The token-efficient agentic coding workbench. Built for a future where every token counts — it optimizes token usage at the agent-loop level, saving 70%+ on long sessions, while planning, remembering your codebase, and shipping features in parallel from a single self-hosted binary.
The self-hosted React framework: file-based React pages with SSR on Bun, typed API routes in Go. Security headers and CSP by default, code splitting, islands, form actions, WebSockets/SSE, graceful shutdown, Docker deploy. Vercel DX, Go performance, no platform lock-in.
AI venture studio: mines your support tickets and issues for opportunities, sizes markets honestly, writes PRDs with kill criteria, builds and reviews the product from one plain-language doc (English/中文), measures real cohorts, and forces honest kill decisions. Humans hold every gate; it never publishes or spends.
AISEF — AI Software Engineering Framework: one requirements file in, a gated and evidence-backed application out. Agents do the judgement; code enforces the guarantees.
Annotation-driven, compile-time application framework for Go — Spring Boot–style DI, HTTP, config, and SQL repositories generated as plain, readable Go with no runtime reflection.