ailab  by mizchi

AI coding experiment with Deno for code generation

created 5 months ago
709 stars

Top 49.3% on sourcepulse

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Project Summary

This project serves as an experimental playground for combining AI coding agents with Deno, aiming to improve code generation quality and efficiency by defining coding rules and modes for Deno projects. It targets developers and AI researchers interested in structured, AI-assisted code development within the Deno ecosystem.

How It Works

The core of the project lies in defining coding rules and implementation modes in Markdown files within the .cline directory. A build.ts script then processes these files to generate .clinerules and .roomodes (JSON) files. These generated files act as configuration for AI coding agents, guiding them to produce type-safe, Deno-idiomatic code according to specified best practices and implementation strategies like script mode, module mode, or test-first mode.

Quick Start & Requirements

  • Install Deno: https://deno.land/x/install/install.sh
  • Clone the repository: git clone <repo_url>
  • Cache dependencies: deno cache --reload deps.ts
  • Generate rules and modes: deno run --allow-read --allow-write .cline/build.ts
  • VSCode with Deno extension recommended for development.

Highlighted Details

  • type-predictor module: Analyzes JSON data to predict types and generate Zod schemas for runtime validation.
  • zodcli module: Provides type-safe command-line argument parsing using Zod, with automatic help generation and subcommand support.
  • Adapter Pattern Examples: Demonstrates functional and class-based implementations for abstracting external dependencies and enabling testability.
  • ts-callgraph tool: Generates call graphs for TypeScript code.

Maintenance & Community

The project appears to be primarily maintained by mizchi. No specific community links (Discord, Slack) or roadmap are explicitly mentioned in the README.

Licensing & Compatibility

  • License: MIT
  • Compatible with commercial use and closed-source linking.

Limitations & Caveats

The project is experimental, with several components listed as "in development" or "initial stage" (e.g., type-predictor, memorybank, documentation, CI/CD). Full documentation and test coverage are stated as future goals.

Health Check
Last commit

4 months ago

Responsiveness

Inactive

Pull Requests (30d)
0
Issues (30d)
0
Star History
43 stars in the last 90 days

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