Alternatives
Products that do what Intent Driven Development - Book Launch does
A Discipline for Building Software with AI
- 1FG
Hi HN, I'm Antoine Zambelli, AI Director at Texas Instruments. I built Forge, an open-source reliability layer for self-hosted LLM tool-calling. What it does: - Adds domain-and-tool-agnostic guardrails (retry nudges, step enforcement, error recovery, VRAM-aware context management) to local models running on consumer hardware - Takes an 8B model from ~53% to ~99% on multi-step agentic workflows without changing the model - just the system around it - Ships with an eval harness and interactive dashboard so you can reproduce every number I wanted to run a handful of always-on agentic systems…
May 2026 · github.com
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Hi HN, we’re Nate and Ty, co-founders of Continue, an open-source autopilot for software development built to be deeply customizable and continuously learn from development data. It consists of an extended language server and (to start) a VS Code extension. Our GitHub is https://github.com/continuedev/continue. You can watch a demo of Continue and download the extension at https://continue.dev — — — A growing number of developers are replacing Google + Stack Overflow with Large Language Models (LLMs) as their primary approach to get help, similar to how…
2023 · github.com
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I created vibescaffold.dev. It is a wizard-style AI tool that will guide you from idea → vision → tech spec → implementation plan. It will generate all the documents necessary for AI coding agents to understand & iteratively execute on your vision. How it works: - Step 1: Define your product vision and MVP - Step 2: AI helps create technical architecture and data models - Step 3: Generate a staged development plan - Step 4: Create an AGENTS.md for automated workflows I've used AI coding tools for awhile. Before this workflow (and now, this tool), I kept getting "close but not quite" results…
Nov 2025 · vibescaffold.dev
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- 7OD
The Problem "Vibing" with LLMs is often too shallow for complex logic, while writing full specifications is cognitively expensive and slow. We need a middle ground that mimics how human programmers gather context—scanning structure before diving into details. The Solution: Outline Driven Development (ODD) I've built a "batteries-included" kit for Gemini/Claude/Codex that uses AST analysis to understand code structure rather than just raw text. This relies on a hyper-optimized Rust toolchain (`ast-grep`, `ripgrep`, `jj`, etc.) to feed precise, structural context to the agent. 1. The…
Nov 2025 · github.com
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I've been exploring the (not so=) amazing potential of AI in coding and have compiled a list of tools. From AI-powered IDEs to code generators, this resource is my contribution to the community. I'm still on the fence about including txt2sql projects, as their functionality seems too basic to me. And I'm personally maintaining this, so your feedback is wellcome.
2025 · aicode.danvoronov.com
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- 164D
this is an open-source project. the MVP to end all MVPs. made by me, a teenage developer angry at FAANG employees for creating a soulless, consumer-oriented world. The future is in creation, and the future is in teaching people to slam shit together with ChatGPT. Welcome to the start. :P
2024 · 48hr.dev
- 17SD
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
- 18SA
Hey HN! I've been serially building AI projects for over a year, and building node + js SaaS products for over 10 years with my partner. We decided to combine everything we know about AI with our node best-practices into a code boilerplate and see if it can help anyone else! We've had a bunch of positive feedback already from early-users, and at least two SaaS products being developed right now with StartKit.AI as their base. Here's what you get! → Pre-built modules for all common AI tasks: - Chat! Everything to build a ChatGPT clone or your own chatbot. With best-practice implementations of…
2024 · startkit.ai
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To be specific, the content is generated by a GPT-2 based model. https://amzn.to/2TCc0v2 Let me know if you have any questions :-)
2020
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- 24DO
Oh, hello. I didn't see you there. Did you ever wonder what it takes to build and launch a software product from scratch? Not a high-level summary. Not a short essay that describes a year of development. Detailed, day to day activities. A captain's log. Mistakes and pivots. Technology choices. Marketing activities. Design considerations. You might know me as the creator of SumatraPDF. I'm starting a new software product from scratch and I decided to make it an experiment of building in public. I hope to inspire others to build more software by de-mystifying the process of creation. I'm on…
2022
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