Developers
How to use AI to write code, debug, review pull requests, refactor, and build AI apps from scratch — with sample prompts and real case studies.
What Is RAD? Why It Matters in the Age of AI Coding
Rapid Application Development (RAD) is resurfacing as a framework for agentic AI workflows, built on iterative prototyping and spec-driven testing.
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Members-only article — unlock to readHow to Stop Hitting Claude Code Usage Limits
The complete guide to Claude Code usage limits: context hygiene, model routing, cache hits, hook enforcement, subagents, and offloading I/O to cheaper models.
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Why You Still Need to Learn the Fundamentals in the Age of AI
You need to learn the fundamentals to audit AI-generated code. Without that grounding, the costs are security holes and skill atrophy.
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A Complete AI Coding Workflow with mattpocock/skills
Automate your AI coding workflow from initial design to final review using mattpocock/skills for a structured, test-driven engineering pipeline.
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Members-only article — unlock to readHow to Build Your Own Chatbot With Python
Build a functional, stateful Python chatbot with streaming and a web interface using OpenAI and Anthropic. Master memory, error handling, and production UI.
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Members-only article — unlock to readHow to Build Your Own Coding Agent
Build a functional coding agent with Python or Go to automate codebase navigation, surgical file editing, and guarded shell command execution in a loop.
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Rust Token Killer Cuts 80% of Tokens. Does Your Bill Drop?
Rust Token Killer cuts 60–90% of shell output tokens for Claude Code. But a hands-on JetBrains benchmark shows your monthly bill tells a different story.
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Members-only article — unlock to readThe Best Setup for the .claude Folder for Maximum Efficiency
The .claude folder gives Claude Code a hierarchical config that optimizes token usage through modular rules, skills, and deterministic hooks.
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Members-only article — unlock to readWhy You Should Delete Claude Code's Auto Memory (memory.md)
Disable the memory.md system in Claude Code to eliminate context bloat, prevent state drift between worktrees, and ensure deterministic agent behavior.
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mattpocock/skills: Agent Skills for Real Engineers
mattpocock/skills is an open-source library of agent workflows that enforce engineering rigor on Claude Code and Codex through disciplined runbooks.
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Andrej Karpathy's Skill: One CLAUDE.md File to Improve Claude Code
Implement behavioral rails in a CLAUDE.md file to reduce AI coding errors from 41% to 11% by enforcing core principles for agentic development.
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Superpowers by obra: Engineering Discipline for AI Coding Agents
Superpowers is a disciplined skills framework for AI agents that enforces TDD, Socratic design, and systematic debugging through Markdown-based methodology.
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Ultrathink, Ultraplan, Ultracode, Ultrareview in Claude Code
Claude Code's four ultra commands: Ultrathink reasoning, Ultraplan cloud drafting, Ultracode parallel agents, and verified Ultrareview bug detection.
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Members-only article — unlock to readCLAUDE.md vs AGENTS.md vs SKILL.md: How to Combine All Three
How CLAUDE.md vs AGENTS.md vs SKILL.md split by loading model — decide where every instruction goes, protect your context budget, and cut agent runtime.
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Free Claude Code Skills That Fix 90% of That "AI-Generated" UI Look
Replace generic AI-generated UI defaults with opinionated engineering skills to implement distinctive visual systems and deterministic design rules.
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Members-only article — unlock to readWhat is /compact? The command that fights context rot in Claude Code
Manage context rot with the /compact command to keep Claude Code session health by replacing verbatim history with structured, high-quality summaries.
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How to Reduce 90% of Claude Code Token Usage with Code Graph
Reduce Claude Code token usage by 90% through deterministic local indexing and MCP, eliminating expensive sequential file exploration in AI sessions.
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What is Caveman? Reduce LLM token usage by 60%
Implement caveman mode to strip LLM filler and cut output tokens by 60%. This Claude Code skill optimizes AI efficiency without sacrificing reasoning.
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Graphify: Turn any folder into a knowledge graph
Graphify transforms project folders into queryable knowledge graphs, letting AI coding assistants navigate codebases by structure over similarity.
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How Test-Driven Development Amplifies AI Success
Test-Driven Development gives AI agents deterministic guardrails, cutting bugs by up to 80% and keeping non-deterministic output stable.
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Tips & Tricks to Cut Claude Fable 5 Costs by 80%
Reduce your Claude Fable 5 cost by up to 80% using effort tuning, prompt caching, the 10-80-10 routing system, and image-based context compression.
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How Anthropic's Teams Use Claude Code in Real Work
See how Anthropic teams use Claude Code to accelerate debugging, automate testing, and let non-technical departments build their own custom software tools.
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Members-only article — unlock to readHow Does Memory Work in Claude Code?
Optimize Claude Code memory using CLAUDE.md and auto-memory systems to keep persistent project context and high instruction adherence across sessions.
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Members-only article — unlock to readUnderstanding Spec-Driven Development
Spec-driven development makes a structured specification the primary source of truth for AI coding agents, replacing vibe coding with a verifiable contract.
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Members-only article — unlock to readThe Best Claude Code Skills to Make Claude Work Like a Senior Engineer
A lean, audited checklist of the Claude Code skills worth installing — the ones that make Claude plan, test, review, and ship like a senior engineer.
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The GitHub Repos and Websites That Help You Master Claude Code
A hand-picked roundup of the GitHub repos and websites that help you master Claude Code and work better with AI.
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Claude Code's /goal Command: Engineering Autonomous Cycles
The /goal command in Claude Code enables autonomous execution of long-running development tasks using an evaluator-loop and persistent completion conditions.
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The /loop Command in Claude Code: When and How to Use It
Learn how to use the loop command in Claude Code to automate in-session tasks. Master cron scheduling, jitter logic, and session-scoped automation.
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Loop Engineering: Building Software With Agent Loops
Learn loop engineering: the transition from manual prompting to designing autonomous systems that use agents to discover, implement, and verify work.
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Members-only article — unlock to readThe Ralph Loop: Run AI Agents in a Bash Loop Until They Finish
Achieve autonomous AI coding with the Ralph Loop. Solve context rot, implement PIN systems, and use bash-scripted iterations for AFK development.
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Members-only article — unlock to readA Practical Guide to Claude Memory Files
Claude memory files give an agent project-level persistence and steering, using CLAUDE.md and hooks to keep context lean and automate workflows.
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Harness Engineering: Build the Scaffolding Around an AI Model
Harness engineering builds the deterministic scaffolding, feedback loops, and constraints around an AI model so agents run reliably in production.
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Members-only article — unlock to readWhy You Should Stop Using /init to Generate Your CLAUDE.md
Stop using /init for your CLAUDE.md. Engineering benchmarks show auto-generated files raise costs by 20% and dilute the agent's context with noise.
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Members-only article — unlock to readAGENTS.md: What Works, What Costs, and Best Practices
What the data says about AGENTS.md context files: the 4% gain, the 20% cost tax, and how to write one that helps repository-level agents.
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Members-only article — unlock to readWhat CLAUDE.md Is and How to Write an Effective CLAUDE.md File
Configure CLAUDE.md to eliminate AI amnesia. This guide covers context engineering, file hierarchy, and behavioral rules for efficient Claude Code sessions.
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Members-only article — unlock to readClaude Code Commands & Shortcuts Cheatsheet
Quick-reference tables explaining every useful Claude Code slash command, keyboard shortcut, and hidden feature.
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What Is Agentic Engineering? A Guide for Engineers
Agentic engineering is a disciplined practice where AI agents handle implementation while humans oversee architecture and validation to ensure reliability.
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Context Engineering vs Prompt Engineering
Master context engineering vs prompt engineering to build resilient AI agents using RAG, memory management, and advanced orchestrator architectures.
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Everything you need to know about prompt engineering
The core techniques and developer workflows of prompt engineering: build reliable AI systems, debug code faster, and scaffold new features.
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Dynamic Workflows, Sub-agents, or Agent Teams: Which to Use
Compare dynamic workflows, sub-agents, and agent teams in Claude Code. Optimize for token efficiency and scale using this technical decision framework.
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Mastering Claude Agent Teams
Learn how to orchestrate Claude agent teams to scale development with parallel subagents, a shared task list, and direct inter-agent communication.
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Mastering Subagents in Claude Code
Use subagents in Claude Code to isolate context and run work in parallel, so the main thread keeps its reasoning quality as a task grows.
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A Guide to Context Engineering
Context engineering is the systems discipline for managing an LLM's information state to prevent context rot and "Lost in the Middle" performance drops.
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Mastering Vibe Coding: Best Practices
Learn the engineering rigor behind vibe coding: planning, context management, and code review for production-grade AI software development.
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Software Engineer in the Age of AI
The role of a software engineer in the age of AI is shifting from writing syntax to designing robust architectures and managing complex system failures.
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What is vibe coding? Building apps with AI and systems thinking
Vibe coding lets creators use natural language and agentic AI to orchestrate, refine, and deploy production-grade software — fast, but with real trade-offs.
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The Evolution of Vibe Coding: From Trend to Discipline
Vibe coding raced from viral prototype trick to production liability, and teams are now shifting to agentic engineering where humans own the architecture.
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