Outline Driven Development – New AI-Assisted Coding Paradigm; BN
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…
Outline Driven Development – New AI-Assisted Coding Paradigm; BN launched on November 19, 2025 with 11 votes, #906 of 9,796 launches that month and more than 75% of that year's launches.
In plain words
Outline Driven Development is an AI-assisted coding framework that helps developers work more effectively with LLMs like Gemini and Claude. It uses AST analysis to extract structural context from code rather than relying on raw text, striking a balance between casual "vibing" with AI and writing full specifications. Built on optimized Rust tools, it's designed for developers who want better control over how AI understands and generates complex code.
written from the facts on this page · September 2026
From the sources
Outline-Driven Development - opinionated methodology between vibes and specs. AST tooling + context engineering + loop engineering on your hands. Plugins for Claude / Codex / Gemini / Cursor. - OutlineDriven/outline-driven-development
Vibes are too shallow. Specs are too complex. Let there be the outline. Beyond specs. Beyond vibes. A versioned outline becomes the contract for every agentic act. Outline-Driven Development is a coding methodology for LLM code agents. It occupies the space between two failure modes: vibes (too shallow, non-reproducible) and specs (too rigid, too expensive to maintain). The unit of truth is a versioned outline whose hash anchors every diff, every test, and every diagram. The outline is harness-agnostic. One implementation carries it to every agent, and the methodology itself lives here as prompt files that any agent can consume. See PHILOSOPHY.md for the full design rationale and…from github.com
In the maker’s words, at launch
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…
Does a similar job
all alternatives →- APA plain-text cognitive architecture for Claude CodeMar 2026 · lab.puga.com.br · ▲157
One memory, not one per tool. Cog gives AI agents a shared, structured memory layer using plain-text files — portable across Claude Code, Codex, Cursor, Gemini CLI, Windsurf, Copilot, and more.
We built an AI to review your pull requests2025 · infinitcode.ai · ▲53Hey HN, We’re two developers (co-founders) with a team of 20 who got tired of spending hours reviewing PRs, so we built Infinitcode.ai, an AI-powered code reviewer that: - *Summarizes PRs in plain English*: No more deciphering 1,000-line diff jungles - *Catches more than bugs*: Security holes, performance pitfalls, code smells, even typos (yes, we’ll flag “vurnerabilities” and vulnerabilities) - *Zero onboarding*: Works instantly—no “let me learn your codebase for weeks” nonsense. Why we’re posting: We’re in alpha and need brutal honesty. Roast our tool, mock our UI, or tell us why AI will…
Chunk sidecarsMay 2026 · circleci.com · ▲77Hi HN! My name is Olaf, I work at CircleCI as a technology advisor in the CTO office, came in through the acquisition of my company Vamp.io (progressive delivery for microservices on k8s) in 2021. Wanted to hear the HN community feedback and thoughts on a project we think could be very interesting when adding AI coding agents to the SDLC and your CI pipelines. Our team at CircleCI built Chunk sidecars after repeatedly running into the same issue internally: by the time our CI catches a failure, the agent has already moved on and most of the useful context is gone. The basic idea of Chunk…
- SDSpec-Driven Development Workflow for Claude CodeMay 2026 · ▲20
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…
An application stack Claude coded directly in LLVM IRMar 2026 · github.com · ▲10This repo is the result of a debate about what kind of programming language might be appropriate if humans are no longer the primary authors. Initially the thought was "LLMs can just generate binaries directly" (this was before a more famous person had the same idea). But that on reflection seems like a bad approach because languages exist to capture program semantics that are elided by translation to machine code. The next step was to wonder if an existing "machine readable" program representation can be the target for LLM code generation. It turns out yes. This project is the result of…
VT Code – Rust TUI coding agent with multi-provider supportApr 2026 · github.com · ▲18Hi HN, I built VT Code, a semantic coding agent. Supports all SOTA and open sources model. Anthropic, OpenAI, Gemini, Codex. Agent Skills, Model Context Protocol and Agent Client Protocol (ACP) ready. All open source models are support. Local inference via LM Studio and Ollama (experiment). Semantic context understanding is supported by ast-grep for structured code search and ripgrep for powered grep. I built VT Code in Rust on Ratatui. Architecture and agent loop documented in the README and DeepWiki. Repo: https://github.com/vinhnx/VTCode DeepWiki:…
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