AI & Agents

Build Software with BMad

BMad helps you decide what to build and then build it. Start here to install it, make your first change, or find the path that fits the work in front of you.

How our agents build on-brand pages with design.md

How we built design.md, a single public file any coding agent can load to build on-brand Vercel pages, and the eval loop that decided every rule inside it.

AI Model & API Providers Analysis | Artificial Analysis

Comparison and analysis of AI models and API hosting providers. Independent benchmarks across key performance metrics including quality, price, output speed & latency.

Popmelt — Design copilots for AI agents

Our Taste models encode design expertise and philosophy, giving AI agents instant access to a curated catalog of aesthetic knowledge. Unlike traditional templates and design systems, our imprints are AI-native and guided by universal principles. This means agents can apply them to any interface scenario, not just predefined layouts and elements. They're also customizable and extensible, letting you build quickly without falling into the cookie-cutter UI library trap.

Superpowers Plugin | Claude by Anthropic

Claude learns brainstorming, subagent development with code review, debugging, TDD, and skill authoring through Superpowers.. Install this plugin to extend your workflow.

co/core — an AI cooperative

co/core is a cooperative for AI inference — people pooling the Macs they already own to run open models for each other, instead of renting from the big clouds. An experiment in AI infrastructure we build, share, and own together. Bring your existing OpenAI-compatible code, or share a Mac and help run it.

How to forget

Most agent frameworks optimize for recall. Open-strix optimizes for forgetting — and that turns out to be the whole trick.

Something Big Is Happening

A personal note for non-tech friends and family on what AI is starting to change.

pguso/ai-agents-from-scratch

Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.

Context Engineering for AI Agents: Lessons from Building Manus

This post shares the local optima Manus arrived at through our own "SGD". If you're building your own AI agent, we hope these principles help you converge faster.

AI Coding: Managing Context

Managing your coding agent's context is super important - a bloated context window will erode the quality of your agent's work over time. Learn some new techniques for trimming irrelevant details from your conversation history while retaining what matters.

Same Model, Different Results: Why Coding Agents Aren't Interchangeable

Reverse-engineering Claude Code reveals why it performs differently from other agents that use the same Anthropic models. The answer lies in sophisticated context engineering and tool orchestration hidden beneath the surface.

Writing code is cheap now - Agentic Engineering Patterns

Writing code is cheap now - Agentic Engineering Patterns

Reports of code's death are greatly exaggerated

A sufficiently detailed spec is code begins with this lovely comic:

Review of Claude Code-generated code for a bookshop, March 2026

Review of Claude Code-generated code for a bookshop, March 2026 · GitHub

Useful patterns for building HTML tools

I’ve started using the term HTML tools to refer to HTML applications that I’ve been building which combine HTML, JavaScript, and CSS in a single file and use them to …

Using AI to write better code more slowly

A lot of people seem convinced that the point of AI coding is to write low-quality code as fast as possible. Spew out barely-passable slop, open massive PRs, and merge them unvetted. Ship it! But t…