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Curated

AI Builder Resources (441)

Hand-picked tools, guides, repos, and courses for shipping with AI.

// showing 10 of 441 resources

Pi Agent vs OpenCode after 100+ Hours of Real UseP

An honest side-by-side of two coding agents from someone who actually used both

Guides

Pi Agent vs OpenCode after 100+ Hours of Real Use

An honest side-by-side of two coding agents from someone who actually used both

A comparison written after real sustained use rather than a weekend trial, covering where each agent holds up and where each one falls over. The useful kind of tool comparison: specific about the failure modes, and willing to say when the answer is "it depends on what you are building".

Running Codex as a Headless AgentR

Turn Codex from an interactive assistant into something you can script

Guides

Running Codex as a Headless Agent

Turn Codex from an interactive assistant into something you can script

A practical walkthrough of driving Codex headlessly, so it becomes a programmable step in a pipeline rather than a chat window you sit in front of. The shift from interactive to scripted is where coding agents stop being a productivity toy and start being infrastructure. This covers the mechanics of getting there.

Guides

Time to First Token

A 10-week, 30-minutes-a-day roadmap for LLM inference serving and optimization

Time to First Token is a structured 10 week curriculum covering LLM inference serving and optimization, designed around 30 minutes of study a day. It walks through batching, KV caching, quantization, throughput versus latency tradeoffs and the serving stack choices that decide your infrastructure bill. Worth the hour a week the moment self-hosting or inference cost stops being a rounding error.

Guides

Standing Rules Instead of Permission Prompts

Four months of treating AI like a report, not a chatbot — with receipts

Ashley Childress spent four and a half months rebuilding how she works with AI coding agents, and the core move is a good one: stop treating permission prompts as your safety system. Clicking "approve" forty times per task is not oversight — it is fatigue theater. She replaced it with 134 standing rules that define what the agent may do up front. What the guide covers Why click-to-approve stops being a real guardrail once volume goes up. How to write standing rules that constrain behavior instead of interrupting it. Treating the agent like a direct report: context, expectations, and review at the right altitude. Nine concrete practice changes, each with the reasoning and evidence behind it. Why it is worth your time This is the rare "here is how I do things differently" post that shows its work. It is especially relevant now that agents are being handed more autonomy by default — the guardrails have to move from per-action prompts to written policy, and this is a working example of what that looks like. Read it on dev.to .

Guides

awesome-mcp-servers

A huge curated collection of MCP servers for your agents.

awesome-mcp-servers is one of the most complete curated lists of Model Context Protocol servers — the growing catalog of tools you can plug into Claude, Cursor, and any MCP-capable agent to give it real capabilities. Browsing it is the fastest way to discover what your agent could be connected to: databases, browsers, file systems, APIs, and hundreds of niche integrations. A must-bookmark reference as MCP becomes the default way agents touch the outside world.

Guides

awesome-claude-skills

A curated list of Claude Skills to customize your AI workflows.

awesome-claude-skills is a curated, community-maintained list of Claude Skills, resources, and tools for customizing your AI workflows. Instead of writing every skill from scratch, you can browse what others have already built and refined. It is the fastest way to see the shape of the emerging skill ecosystem — design, research, engineering, and automation skills you can install and adapt. A great reference whether you are learning the pattern or looking for something to reuse.

Guides

Awesome LLM Apps

100+ runnable AI agent and RAG apps you can clone, customize, and ship

Awesome LLM Apps is a curated collection of more than 100 AI agent and RAG applications you can actually run — not just links, but working code you clone, customize, and ship. Each app demonstrates a real pattern, from multi-agent teams to retrieval pipelines. Why it is worth bookmarking If you learn best by reading real implementations, this is one of the fastest ways to see how production-shaped agent and RAG apps are wired together. It spans models, frameworks, and use cases, so you can find a starting point close to whatever you are building. 100+ runnable agent and RAG apps with source code Covers multi-agent systems, RAG, and tool use A practical reference library for builders Browse the collection on GitHub .

The Short-Leash AI Coding MethodT

A disciplined method for keeping AI coding agents on a short leash — reliable results, less drift

Guides

The Short-Leash AI Coding Method

A disciplined method for keeping AI coding agents on a short leash — reliable results, less drift

This widely-discussed essay lays out a "short leash" method for working with AI coding agents: instead of handing a model a broad task and hoping, you constrain each step, verify frequently, and keep the agent tightly scoped so it cannot wander. The piece is a practical, opinionated playbook for builders who have felt the pain of an agent confidently producing plausible-but-wrong code. It is a useful counterweight to "vibe coding," arguing that discipline and small verified increments beat autonomy when correctness matters.

Guides

The Founder's Playbook: Building an AI-Native Startup

Anthropic's guide to building a startup that is AI-native from day one.

The Founder's Playbook is Anthropic's practical guide to building an AI-native startup from the ground up. It covers how to structure teams, products, and workflows around AI from day one, with opinionated advice on where AI creates leverage and where founders still need human judgment.

Guides

webMCP: Build Websites with MCP

Guide to building websites using Model Context Protocol with live demo

A hands-on guide exploring how MCP (Model Context Protocol) can be used to build websites. Includes a live demo showing the full workflow from prompt to deployed site. 124 reactions on Dev.to this week. A great introduction for builders curious about how MCP changes the web development workflow and what it means for the future of building sites with AI.