Prompt Engineering Patterns
How to actually write prompts that work — system prompts, chain-of-thought, few-shot, Anthropic's workflow patterns, prompt evaluation harnesses like Skills 2.0.
How Alex Finn Built a Complete Game in 1 Hour Using Codex's /goal Command
Alex Finn ran a single /goal prompt and let Codex build an extraction shooter game — assets included — over one autonomous hour. Here's how it worked.
Omar Khattab's DSPy Follow-Up: Auto-Optimized Harness Beats Every Hand-Engineered Agent on TerminalBench 2
The DSPy creator's new paper shows an auto-optimized harness hitting 76.4% on TerminalBench 2 — outscoring every hand-built entry in the field.
How to Use OpenAI Codex's /goal Command for Long-Running Autonomous Tasks
Codex's /goal command enables multi-hour autonomous agentic loops. Learn how to activate it, what it can build, and when to use it for complex projects.
Omar Khattab's DSPy Follow-Up: How Auto-Optimizing Your Harness Put a Tiny Model at #1 on TerminalBench
DSPy's creator showed a Haiku-powered harness beat larger models on TerminalBench. The secret: 10M tokens of automated harness optimization.
How to Build an Agent-First Product: Lessons from Stripe, Google, and Anthropic
Discover the design principles behind agent-first products, from payment rails to discovery APIs, and how to make your app callable by AI agents.
Claude Code Skills Architecture: 4 Layers That Keep Your AI Agent Fast and Focused
The .claude/skills/ folder uses progressive context loading — only ~100 tokens read at search time — to keep Claude Code lightweight across dozens of SOPs.
5 Claude Code Skills That Cut Token Costs by Up to 70% — Benchmarked Across Real Sessions
Superpowers saves 14% tokens. Graphify cuts costs 70x on large codebases. Firecrawl reduces 80% vs raw HTML. Five skills benchmarked with real data.
Claude Code Skills vs Skill Systems: Why Isolated Skills Aren't Enough
Downloading marketplace skills and using them in isolation is the wrong approach. Learn why skill systems—not mega skills—are the right architecture.
Claude Code Skills vs Hooks: What's the Difference and When to Use Each
Claude Code skills and hooks both automate workflows, but they work differently. Learn when to use each to build reliable, efficient AI agent systems.
Claude Code Skills vs Slash Commands: What's the Difference and When to Use Each
Claude Code skills and slash commands both automate repetitive tasks, but they work differently. Learn which to use and how to build both effectively.
How to Prompt Claude Opus 4.7 Differently Than 4.6
Opus 4.7 follows instructions literally and won't infer intent. Learn four prompting playbooks for chat, Claude Code, the API, and co-work sessions.
Claude Code Skills vs Slash Commands: When to Use Each
Claude Code Skills auto-invoke based on context while slash commands require manual triggers. Learn the difference and when each approach wins.
Claude Code Skills: How to Build Standard Operating Procedures for Your AI Agent
Claude Code skills are reusable process documents that load context at the right time. Learn how to build skills that produce expert-level outputs.
What Are Claude Code Skills and How Do They Work?
Claude Code Skills are reusable process documents that load context at the right time. Learn how to build skills that produce expert-level AI outputs.
Claude Skills vs Slash Commands: When to Use Each in Your Agentic Workflows
Claude Skills auto-invoke based on context while slash commands require manual triggers. Learn the difference and when each approach produces better results.
What Is Prompt Engineering for Developers? Techniques That Actually Work
Prompt engineering is how you get reliable, structured output from AI models. Here's what works for developers building real production applications.
What Is the Claude Code Builder-Validator Chain? How to Build Quality Checks Into AI Workflows
The builder-validator chain uses one sub-agent to build and another to review, giving you automated quality checks without manual code review.
Beyond One-Shot Prompts: 5 Claude Code Workflow Patterns Explained
Anthropic's five Claude Code workflow patterns explained with real engineering tasks — schema migrations, test loops, and review chains where each pattern fits.
Autonomy vs. Control in Claude Code: 5 Agentic Workflow Patterns
Five Claude Code patterns ranked by autonomy: sequential, operator, split-and-merge, agent teams, headless. Pick the right tradeoff between control and speed.
What Is the Agentic OS Architecture? How to Build a Business Brain With Claude Code Skills
The Agentic OS stores your brand voice, content strategy, and client context inside Claude Code. Here's how the architecture works and how to set it up.
12 Production AI Agent Primitives Every Builder Should Know (From the Claude Code Leak)
The Claude Code source leak reveals 12 infrastructure patterns behind a $2.5B product: tool registries, permission tiers, session persistence, and more.
Claude Code Skills: Why Code Scripts Outperform Markdown Instructions for Agent Tasks
Most Claude Code skills rely too heavily on markdown. Using executable scripts instead reduces tokens by up to 90% and makes agent tasks more reliable.
What Is Agent Skills as an Open Standard? How Claude, OpenAI, and Google Adopted the Same Format
Agent Skills started as a Claude feature but became an open standard adopted by OpenAI, Google DeepMind, and others. Here's why it matters more than MCP.
Claude Code for Business Owners: 5 Core Concepts That Actually Matter
After 200 hours in Claude Code, here are the five concepts business owners need to understand: prompts, claude.md, skills, MCP servers, and context windows.