Engineering governance framework for AI coding agents. Forces planning before code, evidence before completion, memory across sessions.
**English** | [Русский](README.ru.md) # TAUSIK **AI development framework — plan, build, ship with quality control.** [](LICENSE) [](https://python.org) [](https://github.com/Kibertum/tausik-core/actions/workflows/tests.yml) [](#dogfooding-tausik-built-tausik) [](#what-you-get) Three messages. Full engineering cycle. Quality gates that the agent can't skip. > Works with Claude Code, Cursor, Qwen Code (GigaCode), Windsurf. ## Try It Now Tell your AI agent: ``` Add https://github.com/Kibertum/tausik-core as a git submodule in .tausik-lib, run python .tausik-lib/bootstrap/bootstrap.py --init, add .tausik/ to .gitignore ``` The agent will execute all three steps. Restart your IDE after — done. Then just three messages: ``` start working ``` ``` fix the bug — button doesn't work on mobile ``` ``` ship it ``` That's it. The agent opens a session, creates a task with acceptance criteria, writes the code, runs tests and code review, verifies each criterion with evidence, commits, and offers to push. Full engineering cycle — you just describe what you want. ## What You Get | Without TAUSIK | With TAUSIK | |---|---| | Agent starts coding immediately | Must define goal + acceptance criteria first | | Claims "done" without proof | Completion blocked until every criterion has evidence | | Context lost between sessions | Decisions, patterns, and dead ends persist across sessions | | Same mistake repeated 3 times | Failed approaches recorded — agent sees what didn't work | | No tests, no linting | 16 checks auto-run for your stack (pytest, ruff, tsc, eslint, cargo, go vet...) | | No v
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