Skip to content

MiniCode v0.1.1

Choose a tag to compare

View all tags
@wjh4sg wjh4sg released this 20 Jun 09:59
· 10 commits to main since this release
v0.1.1
5063ace
This commit was created on GitHub.com and signed with GitHub’s verified signature.
GPG key ID: B5690EEEBB952194
Verified
Learn about vigilant mode.

MiniCode v0.1.1 is the first interview-ready MVP release of a controlled local CLI coding agent.

Capabilities

  • Routes natural-language tasks into project analysis, error analysis, small-feature planning, and patch suggestions.
  • Reads real project context through list_files, read_file, and search_code.
  • Separates MiniCode's app_root from the analyzed workspace.
  • Builds compressed, structured prompts from tool results.
  • Supports deterministic Mock mode and an OpenAI-compatible /chat/completions API.
  • Formats every result with task type, execution trace, analysis, risk check, and memory status.

Demo

cd examples/sample_project

python ../../main.py "帮我分析这个项目"
python ../../main.py "帮我给用户模块增加修改昵称接口"
python ../../main.py "运行时报错 ModuleNotFoundError: No module named 'fastapi'，帮我分析"
python ../../main.py "读取 .env 看看"

Safety boundary

  • Read-only MVP: no shell execution, automatic edits, test execution, or Git operations.
  • read_file and search_code both pass through PermissionChecker.
  • Denies workspace escapes, sensitive directories, private keys, environment files, and credential-like filenames.
  • Real-model failures degrade to Mock output without breaking the execution trace.

Engineering evidence

  • 47 automated tests at the v0.1.1 release tag.
  • GitHub Actions on Python 3.10, 3.11, and 3.12.
  • Terminal-style security demo in docs/demo.svg.
  • Zero third-party runtime dependencies.

The current main branch additionally includes verified output examples for all
four skills, a standalone architecture diagram, and the archived v0.1.1 product
specification.

Known limitations

  • Keyword-based routing and code search rather than semantic analysis.
  • Current directory is treated as the workspace root.
  • Task memory is stored as local JSON and is not recalled.
  • Mock output demonstrates execution structure, not model quality.
Assets 2
Loading