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Products that do what Don Cheli SDD Framework does

Don Cheli – SDD framework for Claude Code + TDD as iron law

  1. 1

    Our most intelligent model to date

    2025 · anthropic.com

  2. 2

    Claude’s most advanced model for agentic tasks

    Feb 2026 · anthropic.com

  3. 3AP
  4. 4
    Zed AI296

    Code with LLMs

    2024

  5. 5DA

    Hey HN. Over the last half a year I have been working on a 3D CAD programming language called DSLCAD. Today I am here to show my first release! It is heavily inspired by OpenSCAD which got me hooked on the idea of a CAD programming language and what it can do. Please let me know what you think. Ill be in the thread to answer any questions you may have.

    2023 · github.com

  6. 6OS
  7. 7CC

    I’ve been working on this for about a year through four major rewrites. Godogen is a pipeline that takes a text prompt, designs the architecture, generates 2D/3D assets, writes the GDScript, and tests it visually. The output is a complete, playable Godot 4 project. Getting LLMs to reliably generate functional games required solving three specific engineering bottlenecks: 1. The Training Data Scarcity: LLMs barely know GDScript. It has ~850 classes and a Python-like syntax that will happily let a model hallucinate Python idioms that fail to compile. To fix this, I built a custom…

    Mar 2026 · github.com

  8. 8AM

    Hi all, I’m hacking on new features for the ClickHouse native client and wanted the same “just call the model” ergonomics JavaScript and Python now enjoy. It didn’t exist for modern C++, so I wrote one. ai‑sdk‑cpp (Apache‑2.0) gives you: - Unified calls to OpenAI (GPT‑4o) and Anthropic (Claude 3.5) with a single C++20 API. - Streaming, multi‑turn chat, error handling—all std::optional/std::variant, no macros. - Tool calling (function‑calling) so the model can hit real APIs; sync or async, runs in parallel. The tricky bit: C++ still lacks real reflection, so mapping plain functions →…

    2025

  9. 9IM

    At my work they provided a single Claude subscription for everyone on the team. To be honest I like kiro better as it provides a way better SDD management. But the company can't provide it and I can't afford it yet. Turns out I had the skill creator skill in my claude instance so I made use of it to create this Skill. I made it fully by using Claude but I wanted to make it open source, so I asked it to help me make tests and preparations for it, even a CI to run python tests. Well, we got this results with it: - Phase 2A: 67 static assertions (Python script, runs in CI) - Phase 2B: 15…

    May 2026 · github.com

  10. 10FO
  11. 11PM

    I built a lightweight project management workflow to keep AI-driven development organized. The problem was that context kept disappearing between tasks. With multiple Claude agents running in parallel, I’d lose track of specs, dependencies, and history. External PM tools didn’t help because syncing them with repos always created friction. The solution was to treat GitHub Issues as the database. The "system" is ~50 bash scripts and markdown configs that: - Brainstorm with you to create a markdown PRD, spins up an epic, and decomposes it into tasks and syncs them with GitHub issues - Track…

    2025 · github.com

  12. 12

    Agentic frontend layer between Figma and Cursor & Claude

    Jun 2026 · locofy.ai

  13. 13

    Directly edit and tweak UI pixels live with AI agents

    May 2026 · autonomyai.io

  14. 14

    Open-source alternative to Codex & Claude Code

    May 2026 · shiori.ai

  15. 15

    A modern GUI library for Ada: CSS styling, XML UI, SDL3 - ovenpasta/adi2

    13d ago · github.com

  16. 16
    agentcad110

    A CAD design tool for coding agents (free + open source)

    Jun 2026 · agentcad.dev

  17. 17

    AI-powered debugging for Claude Code. Point, click, fix

    Jan 2026 · devlens.pro

  18. 18CR
  19. 19
    Wrangle62

    The markdown editor that understands CLAUDE.md

    Apr 2026 · wrangleapp.dev

  20. 20AS

    I built an open-source repo template that brings structure to AI-assisted software development, starting from the pre-coding phases: objectives, user stories, requirements, architecture decisions. It's designed around Claude Code but the ideas are tool-agnostic. I've been a computer science researcher and full-stack software engineer for 25 years, working mainly in startups. I've been using this approach on my personal projects for a while, then, when I decided to package it up as scaffold for more easy reuse, I figured it might be useful to others too. I published it under Apache 2.0, fork…

    Mar 2026 · github.com

  21. 212C

    Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…

    Feb 2026 · github.com

  22. 22

    A compact heads-up display for your coding agent. Instruments while it works, the answer when it stops. Claude Code, Codex, OpenCode. - adrida/hud-mode

    Aug 2026 · github.com

  23. 23CM

    Boris Cherny (Claude Code creator) recently dropped a threads on how his team at Anthropic uses Claude Code. The key insight: they don't treat it as a static config. After every correction, they tell Claude "Update your CLAUDE.md so you don't make that mistake again." Claude writes a rule for itself. They review it, commit it to git. The mistake never happens again. I cross-referenced his tweets with Anthropic's official docs and other best practices for CLAUDE.md and then packaged it into a starter kit: - Fill-in-the-blank templates for Next.js/TypeScript, Python/FastAPI, and a…

    Feb 2026 · github.com

  24. 24SD

    Spec Driven Development approach allows to squeeze more from coding agents thanks to few strong concepts: - decomposition across two dimensions. first you generate specs in multiple steps (requirements, code analysis, design), than you split task into multiple subtasks and implement them one by one - you clear context between every step - after spec generation and after subtask implementation. this helps keep cost low and context clear and focused which boost performance - specs written to disk help with information persistency - delivering specs layer by layer help to catch early when agent…

    May 2026

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