tools

Stop Slop

by hardik-pandya

A Claude skill file that catches and removes the predictable phrases, structures, and rhythms that make AI-generated prose instantly recognizable.

Porting Software Has Been Trivial for a While Now

by geoffrey-huntley

Porting codebases between languages is a solved problem if you decompose the work into specs first — reduce code to language-agnostic PRDs, then let an agent loop rebuild it in the target language against a strict compiler.

AI-Assisted Development

by alexander-opalic

The practice of using AI tools — copilots, agents, and code assistants — to augment software development workflows.

Claude Code

by alexander-opalic

Anthropic's agentic CLI tool for software development, enabling Claude to operate directly in the terminal with full codebase context.

Merging Slash Commands into Skills in Claude Code

by thariq-shihipar

Seven Years to TypeScript: Migrating 11,000 Files at Patreon

by gavy-aggarwal

Large-scale migrations succeed not through a single big push but through three compounding phases: organic adoption builds conviction, infrastructure investment removes friction, and AI automation handles the long tail.

vinext: How Cloudflare Rebuilt Next.js with AI in One Week

by steve-faulkner

The abstraction layers we built to manage human cognitive limits may not survive AI — vinext proves a single engineer can reimplement an entire framework in a week by directing AI through 800+ sessions, and the real bottleneck was taste, not typing.

Ars Contexta

by agenticnotetaking

A Claude Code plugin that generates a complete, personalized knowledge management system through conversation — derivation over templating, backed by 249 interconnected research claims.

Fastest Frontend Tooling for Humans & AI

by christoph-nakazawa

The JS tooling revolution finally delivers on its promise — tsgo, Oxlint, and Oxfmt replace the old guard without compromises, and strict guardrails make LLMs write better code too.

The Highest Point of Leverage in Claude Code

by ray-amjad

Your CLAUDE.md file has a finite instruction budget — stop adding to it and start removing. Every model upgrade should trigger an audit of what to delete, not what to add.

Your Startup Idea Is Their Weekend Holiday

by andreas-klinger

SaaS is being squeezed from both sides — AI tools let anyone one-shot the core functionality, while enterprise buyers still pay for compounded domain knowledge and trust. The code is worthless; the decisions are the product.

The Engine Behind the Hype

by onur-uzunismail

The most effective coding agent isn't the one with the most features — it's the one that wastes the fewest tokens. Pi's radical minimalism exposes how bloated our baseline tools really are.

The AI Vampire

by steve-yegge

AI's 10x productivity boost creates a value capture war between employers and employees — and without deliberate pushback, the vampire drains everyone. The new workday is 3-4 hours.

AI Doesn't Reduce Work — It Intensifies It

by simon-willison

AI tools create compulsive task-stacking rather than reducing workload — employees run manual and AI-generated work in parallel, producing exhausting intensity that organizations mistake for productivity.

Cognitive Debt

by margaret-anne-storey

AI accelerates code production faster than human comprehension can follow — the resulting understanding gap is cognitive debt, and it's more dangerous than technical debt because it's invisible until the team hits a wall.

AI Is a High-Pass Filter for Software

by bryan-finster

AI amplifies existing capability rather than replacing it—developers and organizations with strong engineering foundations gain exponentially while those without see problems compound faster.

I Built a Context7 Local-First Alternative With Claude Code

by moshe-simantov

Documentation indexing for AI agents belongs on the local machine: pre-built SQLite databases eliminate rate limits, cut query latency to sub-10ms, and keep proprietary code queries completely private.

Excalidraw MCP App

by anton-pidkuiko

An MCP server that gives Claude the ability to generate and render interactive Excalidraw diagrams directly in conversation, turning text prompts into hand-drawn visuals.

The Senior Engineer's Guide to AI Coding

by claire-vo, john-lindquist

Pre-loaded context via mermaid diagrams and automated stop hooks are the two highest-leverage investments senior engineers can make to get reliable output from AI coding tools.

Feedback Loopable

by lewis-metcalf

Effective human-agent collaboration requires making problems feedback-loopable: build playgrounds for shared exploration, parameterize experiments for reproducibility, and provide headless CLI tools so agents can iterate in text rather than pixels.

The Practical Guide to AI Slash Commands

by catalin-pit

Slash commands turn repetitive AI prompts into reusable, instantly-triggerable shortcuts—store them once, invoke them forever across Claude Code, Cursor, Gemini, and Codex.

Pi: The Minimal Agent Within OpenClaw

by armin-ronacher

The best coding agents aren't the ones with the most tools—they're the ones that can extend themselves.

AI Coding Agents and How to Code Them

by alex-shershebnev

Building AI coding agents requires only basic tooling—a ReAct loop, tool definitions, and MCP integration—and the developer's role shifts from writing code to managing autonomous virtual developers.

The creator of Claudbot: I ship code I don't read

by gergely-orosz

Effective agentic coding requires closing the loop—giving AI agents the ability to verify their own work through tests and tooling—while developers shift from writing code to orchestrating parallel agents and designing systems for verifiability.

AGENTS.md Outperforms Skills in Vercel Agent Evals

by jude-gao

Embedding documentation directly in AGENTS.md files achieves 100% eval pass rates while skills fail 56% of the time—passive context beats active tool invocation for teaching agents framework knowledge.

AGENTS.md: Open Standard for AI Coding Agents

by agentic-ai-foundation

AGENTS.md provides AI coding agents with a predictable location for project-specific guidance, keeping READMEs human-focused while giving agents the detailed context they need.

Prompt Files in VS Code

by microsoft

Prompt files (.prompt.md) enable reusable, standardized AI workflows that load on demand—unlike custom instructions which apply globally.

Gas Town's Agent Patterns, Design Bottlenecks, and Vibecoding at Scale

by maggie-appleton

When agents handle code generation at scale, design and architectural planning become the bottleneck—implementation velocity no longer constrains development.

I'm Done

by jeffrey-way

Jeffrey Way declares he's done lamenting AI's disruption to coding—after experiencing layoffs at Laracasts due to AI, he's found more joy programming than ever by embracing agents as pair programmers while maintaining code ownership.

Testing Agent Skills Systematically with Evals

by dominik-kundel, gabriel-chua

Core argument: Agent skills are untestable vibes until you build an eval pipeline — define success metrics, capture traces, write graders, and compare scores over time.

Claude Code Continuous Learning Skill

by blader

A meta-skill that extracts reusable knowledge from debugging sessions and saves it as new skills, giving Claude Code persistent memory across sessions.

prek

by j178

Pre-commit hooks don't need Python or slow installations—prek delivers the same functionality as a single Rust binary that runs multiple times faster.

Tab, Tab, Dead

by amp

Tab completion is obsolete because AI agents now write most code—the human-as-coder premise that autocomplete was built on no longer holds.

Get Ahead of 99% of Claude Code Users

by artem-zhutov

The real differentiator for Claude Code mastery isn't more tools or skills—it's building feedback loops that analyze your own conversations for friction points and storing all your personal context where the agent can act on it.

The Golden Thread

by daniel-roe

Effort has intrinsic value—AI should amplify human agency, not replace it. Shortcuts that bypass genuine work produce hollow achievements and sacrifice skill development.

The Complete Guide to CLAUDE.md

by vishwas-gopinath

CLAUDE.md files persist project-specific instructions across Claude sessions, eliminating repetitive context-setting and maximizing setup leverage.

Don't Outsource Your Thinking: Key Takeaways on Claude Code

by teltam

AI models can handle routine tasks, but developers must retain ownership of critical thinking—effective Claude Code usage requires intentional context management, strategic prompting, and robust testing infrastructure.

Fundamental Skills and Knowledge You Must Have in 2026 for SWE

by geoffrey-huntley

Understanding how coding agents work—tool calls, inferencing loops, the basic primitives—is now baseline knowledge for software engineering interviews, not optional curiosity.

Claude Code Skills

by anthropic

Official documentation on Skills—markdown files that extend Claude Code with specialized knowledge and workflows, triggered automatically based on semantic matching.

Claude Code 2.1 NEW Update IS HUGE! Sub Agents /skills, Claude Canvas, LSPs, & MORE!

by worldofai

Claude Code 2.1 ships a massive feature set—skill hot-reloading, forked sub-agents, Chrome browser integration, LSP support, and async agents transform the terminal into a multi-threaded agent orchestration platform.

Claude Code 2.1: Skills, Slash Commands, and Subagents Converge

by alexander-opalic

Claude Code 2.1 collapses the distinction between skills, slash commands, and subagents—skills can now fork into isolated contexts and specify their own model, making them the single abstraction for agent orchestration.

Claude Code 2.1: Skills Become the Universal Extension

by alexander-opalic

Claude Code 2.1 transforms skills from specialized knowledge containers into a unified automation abstraction—hot-reloading, forked contexts, lifecycle hooks, and agent specification make skills the default choice for extending Claude Code.

AI-Native Obsidian Vault Setup Guide

by chase-adams

A structured Obsidian vault with numeric folder prefixes, tag taxonomies, and Claude Code integration transforms a note-taking app into a holistic life operating system.

CallMe

by zeframlou

A Claude Code plugin that phones you when the AI finishes a task, gets stuck, or needs a decision—enabling true asynchronous collaboration without constant monitoring.

Deliberate Intentional Practice with AI

by geoffrey-huntley

AI's perceived ineffectiveness stems from insufficient deliberate practice, not fundamental limitations—mastery requires the same intentional experimentation as learning a musical instrument.

Dynamic Context Discovery

by jediah-katz

Coding agents perform better when they pull context on demand rather than receiving everything upfront—files serve as a simple, future-proof abstraction for this dynamic retrieval.

Nuxt a11y

by nuxt

Real-time accessibility auditing inside Nuxt DevTools catches WCAG violations during development rather than after deployment.

Best Practices for Vibe Coding Production-Level Quality

by u-similar-bid1784

Production-quality vibe coding requires strict CI/CD pipelines, git discipline, extensive planning, and expert oversight—code is 30% of the work, deployment and performance are the real challenges.

Claude Code Guide

Resources for mastering Claude Code - from daily tips to advanced customization

Home-cooked Software and Barefoot Programmers

by maggie-appleton

Language models will enable a new class of 'barefoot developers'—technically savvy non-programmers who build small-scale, personal software for their communities, and local-first should position itself as the default infrastructure before cloud platforms lock them in.

Local First: the secret master plan

by peter-van-hardenberg

Ink & Switch's three-part vision: local-first software enables universal version control, which enables malleable software — and the philosophical endgame is turning people from app buyers into tool users.

Vibe Kanban: Orchestrating Multiple AI Coding Agents

by aicodeking

Vibe Kanban is an open-source tool that lets you orchestrate multiple AI coding agents from a visual Kanban board, treating coding tasks as asynchronous jobs rather than blocking conversations.

Advent of Claude: 31 Days of Claude Code

by ado-kukic

A comprehensive guide compiling 31 daily Claude Code tips, progressing from foundational concepts to advanced patterns like subagents, skills, and SDK usage.

Boris Cherny on What Grew His Career and Building at Anthropic

by ryan-peterman, boris-cherny

Boris Cherny, creator of Claude Code and former Meta principal engineer, shares how side projects, generalist thinking, and cross-org navigation shaped his career—plus insights on how AI tools are reshaping engineering productivity.

md-ai

by carl-assmann

CLI tool that enables LLM conversations through markdown files in your preferred editor, storing chat history as readable documents.

Superpowers

by jesse-vincent

A skills library for Claude Code that provides structured workflows for AI-assisted development, including brainstorming, implementation planning, TDD, and debugging.

Understanding Claude Code's Full Stack: MCP, Skills, Subagents, and Hooks Explained

by alexander-opalic

A comprehensive breakdown of Claude Code's extensibility layers—MCP servers, CLAUDE.md files, slash commands, subagents, hooks, and skills—explaining when to use each component.

AI codes better than me. Now what?

by lee-robinson

Lee Robinson reflects on how coding agents have surpassed his coding ability and shares four recommendations for software engineers adapting to 2026.

Beads

by steve-yegge

A distributed, git-backed graph issue tracker designed for AI coding agents, replacing markdown task lists with structured, dependency-aware workflows.

Building a Conversation Search Skill for Claude Code

by alex-colvin

How to build a skill that searches past Claude Code conversations to find solutions to previously solved problems, leveraging the JSONL conversation history stored locally.

Claude Code Skills Don't Auto-Activate

by scott-spence

Claude Code skills fail to auto-activate despite documentation claims; hook-based workarounds achieve only 40-50% reliability, so manual invocation remains the practical choice.

How I Use LLMs

by andrej-karpathy

Andrej Karpathy's practical guide to using LLMs effectively: understanding them as lossy internet zip files, managing token windows, selecting models across providers, and leveraging thinking models for complex problems.

Obsidian + Claude Code Workflows

by steph-ango

Community-sourced patterns for combining Obsidian vaults with Claude Code: master context files, batch editing, backlink discovery, and metadata management.

Software Testing with Generative AI

by mark-winteringham

Practical guide to using generative AI for test design, synthetic data generation, and automation without the hype.

The way to deliver fast with AI: Quality

by tsvetan-tsvetanov

Quality foundations—testing, strict types, clean APIs—enable rapid AI-assisted development because features emerge naturally once verification loops exist.

2025: The Year in LLMs

by simon-willison

Simon Willison's comprehensive year-in-review analyzing how reasoning models, autonomous agents, and Chinese AI competition fundamentally reshaped the landscape in 2025.

Claude Code Best Practices

A curated guide to optimizing AI-assisted development workflows with Claude Code

Context-Efficient Backpressure for Coding Agents

by humanlayer-team

Techniques for reducing context window waste in AI coding agents by suppressing verbose output from tests and builds, showing full details only on failure.

Set Up a Context Engineering Flow in VS Code

by microsoft

A systematic approach to providing AI agents with targeted project information through custom instructions, planning agents, and structured workflows to improve code generation quality.

Context Engineering for AI Systems

Techniques for providing AI agents and LLMs with optimized context

Welcome to Gas Town

by steve-yegge

Managing 20-30 parallel AI coding agents requires factory-scale orchestration—hierarchical roles, persistent state in Git, and structured workflow primitives that survive session crashes.

Writing a Good CLAUDE.md

by humanlayer-team

Guidelines for crafting an effective CLAUDE.md file, emphasizing brevity, universal applicability, and progressive disclosure to maximize Claude Code's instruction-following capacity.

Shipping at Inference-Speed

by peter-steinberger

Output speed now bottlenecks on inference time, not developer skill—the game shifts from writing code to orchestrating agents, selecting stacks for AI friendliness, and maintaining project documentation that persists across sessions.

What I Learned Building an Opinionated and Minimal Coding Agent

by mario-zechner

Minimal coding agents outperform bloated ones because frontier models already understand agentic coding—so the harness should stay out of the way with fewer than 1,000 tokens of system prompt and just four tools.

How to Build a Coding Agent: Free Workshop

by geoffrey-huntley

Coding agents require only 300 lines of code in a loop with LLM tokens - understanding these fundamentals transforms you from AI consumer to producer.

Teaching Claude Code My Obsidian Vault

by mauricio-gomes

Using CLAUDE.md to give Claude Code persistent context about your personal knowledge base, preferences, and workflows.

Beast Mode 3.1: AI-Powered VS Code Chat Agent

by burke-holland

A custom VS Code chat mode that fixes GPT-4.1's tendency toward speed over thoroughness using todo lists, sequential thinking prompts, and forced web research.

Some Software Devs Are NGMI

by geoffrey-huntley

Software developers who fail to adopt AI tools will experience natural attrition—not mass layoffs—as their peers achieve 16x productivity gains and redefine baseline performance expectations.