claude-code

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

Boris Cherny, Creator of Claude Code

by gergely-orosz

Software engineering is undergoing a printing-press moment: coding as a gatekept craft is dissolving, generalists who ship prototypes and adapt weekly to new model capabilities will define the next era.

Claude Code /batch and /simplify Skills

by alexander-opalic

How the /batch and /simplify Claude Code skills work — parallel work orchestration and automated code cleanup.

The Pi Coding Agent: The ONLY REAL Claude Code COMPETITOR

by indydevdan

Pi agent is the open-source, unopinionated counterweight to Claude Code — minimal defaults, full harness control, and extensibility that lets engineers build what Anthropic won't ship.

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.

Head of Claude Code: What happens after coding is solved

by lenny-rachitsky

Coding is a solved problem — the bottleneck shifts to taste, product sense, and deciding what to build. Boris Cherny makes the case that underfunding teams, betting on general models, and building for the model six months out is how you win.

My 4-Layer Agentic Browser Automation Stack

by indydevdan

Skills alone are a dead end — you need four layers (capability, scale, orchestration, reusability) to solve entire classes of problems with agentic browser automation instead of one-off tasks.

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.

The Complete Guide to Building Skills for Claude

by anthropic

Anthropic's 30+ page official guide covers the full skill lifecycle—from progressive disclosure architecture (frontmatter → SKILL.md → references) through five reusable workflow patterns, three-level testing, and organizational distribution—positioning skills as the knowledge layer that turns MCP's raw tool access into guided, reliable workflows.

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.

Spotify Says Its Best Developers Haven't Written a Line of Code Since December, Thanks to AI

by sarah-perez

Spotify's best engineers stopped writing code entirely — their internal 'Honk' system built on Claude Code lets them ship features from Slack on their phones, signaling that AI coding has crossed from experiment to default workflow at scale.

Compound Engineering Plugin

by every-inc

Engineering work should make future work easier, not harder—this plugin inverts the technical debt spiral by investing 80% in planning and review so each cycle compounds reusable patterns.

How to Make Claude Code Better Every Time You Use It

by kieran-klaassen, peter-yang

The simplest form of compound engineering is telling Claude to update CLAUDE.md after every mistake — but the full four-step loop (Plan, Work, Assess, Compound) with specialized sub-agents turns each development cycle into a training run for the next.

From Tasks to Swarms: Agent Teams in Claude Code

by alexander-opalic

Claude Code's agent teams upgrade the subagent workflow from star topology to mesh — agents can now message each other, coordinate through shared task lists, and collaborate in real time. Three real sessions show the patterns in action.

Anthropic Just Dropped Agent Swarms

by ray-amjad

Claude Code's new agent teams combine a shared task list with an inter-agent messaging system—two simple primitives that unlock parallel collaboration, persistent teammates, and real-time coordination between sub-agents.

How to Install and Use Claude Code Agent Teams

by tom-crawshaw

Claude Code's native agent teams replace single-agent sequential work with a lead agent that delegates to parallel teammates, each with their own context window and inter-agent messaging.

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.

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.

I'm Boris and I Created Claude Code

by boris-cherny

Productivity with Claude Code comes from parallel worktrees, plan-first workflows, self-evolving CLAUDE.md files, and skills—multiply your throughput by running more concurrent sessions.

AI Coding Roadmap: From Zero to Productive

by alexander-opalic

A curated learning path for developers who want to master AI-assisted coding, from basic autocomplete to autonomous agents.

Claude Code Can Now Make Videos with Remotion

by david-ondrej

Remotion's new agent skill lets Claude Code create professional animations by writing React components instead of using complex UI tools—turning video production into a coding problem AI agents already excel at.

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.

Claude turned Todos into Tasks. Let's test it out.

by kieran-klaassen, trevan

Claude Code's native task system converges with Beads and compound engineering patterns, but the real opportunity lies in contextual intelligence—letting machines query for context rather than forcing artifacts into markdown files.

Claude Code's New Task System Explained

by ray-amjad

Claude Code's new task system—inspired by Beads—persists tasks to disk with dependency tracking, enabling multi-session orchestration and sub-agent parallelism without context window bloat.

The Six Levels of Claude Code Slash Commands

by agentic-lab

Slash commands evolve from saved prompts to full orchestration platforms—most users stop at level one, but level six treats Claude as an architect that spawns specialized subagents with domain skills.

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.

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 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.

Thread-Based Engineering: How to Ship Like Boris Cherny

by indydevdan

Thread-based engineering provides a mental framework for measuring improvement with AI agents—scale by running more threads, longer threads, thicker threads, and fewer human checkpoints.

First Impressions of Claude Cowork, Anthropic's General Agent

by simon-willison

Claude Cowork repackages Claude Code's powerful agentic capabilities for general audiences through accessible design rather than technical innovation—a pragmatic approach to unlock untapped value.

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.

The Ralph Wiggum Loop from First Principles

by geoffrey-huntley

Software development now costs $10.42/hour when running Ralph loops—the key is deterministically malicking the array, starting with a screwdriver before grabbing the jackhammer.

Zeroshot

by covibes

Multi-agent validation prevents self-deception in autonomous coding—the validator didn't write the code, so it can't lie about tests.

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.

Claude Code Damage Control

by indydevdan

PreToolUse hooks provide defense-in-depth protection for Claude Code by intercepting tool calls before execution—blocking dangerous commands and protecting sensitive files.

Claude Code is Amazing... Until It DELETES Production

by indydevdan

AI coding agents can execute destructive commands autonomously. Without guardrails like permission prompts, sandboxing, and careful workflow design, Claude Code's power becomes a liability.

Mutation Testing Skill

by paul-hammond

Code coverage lies about test quality—mutation testing exposes weak tests by asking 'if I introduced a bug here, would my tests catch it?'

Ralph: Step-by-Step Setup Guide

by ryan-carson, geoffrey-huntley

Ralph ships code while you sleep—a bash loop that pipes prompts into your AI agent, picks tasks from a JSON backlog, runs tests, commits passing code, and repeats until done.

RepoMirror

by repomirrorhq

Running Claude Code in headless loops can port entire codebases overnight—the key is simple prompts, one goal per iteration, and letting agents self-terminate when stuck.

Self-Improving Skills in Claude Code

by developers-digest

Claude Code can become a self-correcting system by capturing mistakes in CLAUDE.md—each error becomes a permanent lesson that compounds over time.

A Brief History of Ralph

by dex-horthy

The Ralph Wiggum Technique evolved from a novel idea to a mainstream development methodology in under a year—early adopters learned that poor specs doom loops and iteration beats over-planning.

Claude Agent SDK [Full Workshop]

by thariq-shihipar

Bash is the most powerful agent tool. The Claude Agent SDK packages Claude Code's battle-tested patterns—tools, file system, skills, sandboxing—for building coding and non-coding agents alike.

Ralph Wiggum (and why Claude Code's implementation isn't it)

by geoffrey-huntley, dex-horthy

The official Anthropic Ralph plugin differs fundamentally from the original technique: outer orchestrators with full context resets produce deterministic outcomes, while inner-loop plugins with auto-compaction lose critical context.

The Ralph Wiggum Technique: Running Claude Code in a Loop

by alexander-opalic

Ralph is a bash loop that feeds prompts to AI coding agents repeatedly—the key is one goal per context window, deliberate context allocation, and robust feedback loops.

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

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.

Get Notified When Claude Code Finishes With Hooks

by alexander-opalic

Set up desktop notifications for Claude Code using hooks to get alerted when Claude needs permission or input—no more terminal watching.

How to Customize Your Claude Code Status Line

by alexander-opalic

Configure Claude Code to display model info and context usage in your terminal through a custom status line script that processes JSON data via stdin.

Ralph Wiggum Loop Honest Reviews

by upro-vi

Community discussion on Ralph Wiggum loop trustworthiness—skeptics question validation limits while practitioners share multi-iteration success stories.

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.

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 is a Platform, Not an App

by john-lindquist

Claude Code operates as a programmable AI platform with isolation, extensibility, and automation as first-class features—not a traditional CLI assistant.

Claude Code Ralph Loop Tutorial

by worldofai

Step-by-step walkthrough for installing and using the Ralph Loop plugin with Claude Code, enabling autonomous iterative development through a stop-hook mechanism.

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 we built a Company-Wide knowledge layer with Claude Skills

by daniel-avila-arias

Hedgineer built a knowledge distribution system using Claude Skills that automatically applies institutional expertise without requiring users to invoke specific commands.

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.

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.

12 Factor Agents

by humanlayer-team

A manifesto for building production-grade LLM agents, arguing that effective agents combine mostly deterministic software with strategic LLM decision-making rather than naive 'loop until solved' patterns.

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.

Awesome list of Claude Code tips, tricks, gotchas

by prize-individual4729

A community-sourced collection of Claude Code tips covering skills-based workflows, spec-driven development, git worktrees, and autonomous coding sessions.

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.

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.

How AI Is Transforming Work at Anthropic

by anthropic

AI coding assistants boost productivity dramatically but create a supervision paradox: effectively overseeing AI requires the deep technical skills that may erode from overreliance.

Spec-Driven Development with AI

by den-delimarsky

Spec Kit provides a structured four-phase workflow for AI coding agents, replacing vague prompting with specification-driven development.

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.

Here's how I use LLMs to help me write code

by simon-willison

Effective LLM-assisted programming demands deliberate skills—context management, authoritarian specifications, and rigorous testing—that amplify expertise rather than replace it.