Engineering governance framework for AI coding agents. Forces planning before code, evidence before completion, memory across sessions.
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AI development framework — plan, build, ship with quality control.
Three messages. Full engineering cycle. Quality gates that the agent can't skip.
Works with Claude Code, Cursor, Qwen Code (GigaCode), Windsurf.
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.
| 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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