Intent Driven Development - Book Launch
A Discipline for Building Software with AI
Intent Driven Development - Book Launch launched on February 4, 2026 with 3 votes, #3,486 of 16,627 launches that month and more than 50% of that year's launches.
What it does
Intent-Driven Development: Stop vibing with AI. Start engineering. You're coding with ChatGPT or Claude. Hour 1: amazing. Hour 3: outputs drift, bugs appear, iterations pile up. This book teaches the FORGE methodology, a systematic approach to AI-assisted development that maintains speed while adding the structure you actually need. Inside: • The 5-phase FORGE process • Test-driven development with AI • Prompts that consistently work • Team practices & code review
Master AI-assisted development with the FORGE methodology. A practical guide to expressing intent clearly enough for AI to implement correctly.
The age of typing code is ending. The age of expressing intent has begun. Learn the FORGE methodology for engineering software through expressed purpose rather than written implementation. It works brilliantly for an hour, then outputs start drifting. You iterate five times on something that should have taken one pass. The AI confidently generates code that looks right but subtly is not. You catch some errors. The rest find you later. "Vibing" with ChatGPT or Claude works until it does not. You need structure that speeds you up, not constraints that slow you down. Five phases that transform vague ideas into working systems: Focus, Orchestrate, Refine, Generate, Evaluate. Write…from neoforge.co
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Forge – Guardrails take an 8B model from 53% to 99% on agentic tasksMay 2026 · github.com · ▲687Hi 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…

Continue – Open-source coding autopilot2023 · github.com · ▲298Hi 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…
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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…
Bindly2016 · bind.ly · ▲76Hi HN, I’m a product designer by background, not a traditional software engineer. Over the last year, tools like Claude and ChatGPT completely changed how I work. I started with small internal tools, and now I’m “vibe coding” multiple highly personalized apps. As I iterated between Claude Code (implementation) and ChatGPT (ideation / thinking), I kept running into the same problem. To think clearly, I had to repeatedly re-explain: - what the code currently does, - what changed recently, - and why certain decisions were made. That re-summarization step became a real bottleneck. So I…
Outline Driven Development – New AI-Assisted Coding Paradigm; BNNov 2025 · github.com · ▲11The 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…
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