Topic
30 in-depth tutorial articles on setup, real workflows, and production patterns — written for builders shipping with AI.
Your agents work on your laptop. Now what? This final guide covers everything you need to ship agents that run reliably in production: Docker containerisation, VPS vs serverless, structured logging, health checks, cost controls, and the monitoring setup that wakes you up before your users notice something broke.
In Part 1 you built the loop. Now give it real tools: web search, code execution, and file writing - plus the error recovery patterns that separate demo agents from production ones. Copy-paste Python, no frameworks.
Most tutorials start with code. This one starts with the right mental model. Learn exactly what an AI agent is (and isn't), how it differs from a chatbot, and the four components every agent needs - with Python examples you can run today.
Your agent forgets everything the moment a session ends. This guide covers the three memory patterns every AI agent builder needs: in-context, external file, and vector database - with Python code for each.
Your single agent can now use tools and remember things. But one agent has a ceiling. This guide covers the three orchestration patterns that scale agents from demo to real work: pipeline, supervisor/worker, and fan-out. Python code for each.
CLAUDE.md is the file that turns Claude Code from a generic AI into your project's AI. Here's how to write one that actually improves output quality — with templates for every stack.
A complete Claude Code tutorial for beginners. Install, authenticate, configure CLAUDE.md, run your first agent session, and ship a real feature — in under 30 minutes, with the exact commands and the workflow that actually works.
Run 3-8 parallel Claude Code agents for search, testing, and refactoring. Task tool patterns and real workflows that 3x throughput.
Claude Code can run $300–500/month per heavy user on the API. These 7 strategies — model routing, prompt caching, context pruning, sub-agent discipline — cut our bill from $480 to $128/month with no quality drop.
A complete tutorial on building an AI agent from scratch in Python — no LangChain, no framework. Just the Anthropic SDK, a tool-use loop, and ~60 lines of code that you fully understand and control.
LangChain has 80K stars. CrewAI has 20K. The raw Anthropic/OpenAI SDK is 60 lines. Which should you build your AI agent on? After shipping production agents in all three, here is the honest decision framework.
Build a working multi-agent system in Python — a coordinator agent delegates to specialized workers, handles failures, and synthesizes results. Complete code, real examples, no framework lock-in.
Most developers use Claude Code like a chatbot. Here are 10 prompting patterns — with real examples — that turn it into a 10x engineering force multiplier.
A step-by-step walkthrough of building a complete SaaS — auth, billing, dashboard, and deployment — using Claude Code as your AI engineering partner. With real prompts and real output.
Claude Code isn't just for backend work. Here's how frontend developers are using it to build component libraries, refactor design systems, implement responsive layouts, and ship pixel-perfect UIs — with real prompts and workflows.
Data engineering is 80% boilerplate. Claude Code writes SQL migrations, scaffolds dbt models, builds Airflow DAGs, and debugs slow queries. Here's how to wire it into your stack.
DevOps is YAML, shell scripts, and config files — Claude Code's native language. Real examples: Terraform modules, GitHub Actions pipelines, Docker multi-stage builds, and incident runbooks.
Building a production API means routes, validation, auth, error handling, rate limiting, docs, and tests. Claude Code handles all of it from a single prompt. Here's the playbook.
A PM learned Python in 2 weeks. A marketer learned SQL in a weekend. AI tutoring is the most underused capability of the tools you already pay for. Here is the method.
An engineer used AI to customize 200 applications, prep for 15 interviews, and negotiate 30% more salary — while working full-time. The complete AI job search system.
Indie hackers are shipping SaaS products in weeks using AI coding tools. The complete 30-day playbook from idea validation to first paying customer.
Andrej Karpathy coined 'vibe coding' — building software by describing what you want instead of writing code. Non-engineers are now shipping real products. Here's how.
Cursor IDE is the #1 AI code editor. Learn the exact workflows — Tab, Cmd+K, Chat, Composer, .cursorrules, and MCP — that let developers ship production code 10x faster.
Claude Code is Anthropic's CLI agent that reads your codebase, writes code across files, runs tests, and commits to git. Here's how to use it like a senior engineer on your team.
Seven specific AI workflows that save ambitious professionals 10+ hours per week. No coding required. Copy these systems and reclaim your calendar.
Stop staring at blank docs. These AI workflows help PMs write sharper PRDs, generate user stories from interviews, run competitive analysis in 20 minutes, and prioritize roadmaps with data.
Turn raw spreadsheets into insights, charts, and executive summaries using AI. Works with ChatGPT, Claude, and Google Sheets. No Python, no SQL, no data science degree.
Use Cursor, v0, and Vercel to build and deploy a custom AI tool for your team — from idea to live URL in a weekend. No infrastructure experience required.
The exact AI content system that produces research-backed, SEO-optimized articles at 5x the speed. Every stage from topic research to multichannel distribution, powered by AI.
Apache 2.0, native function calling, runs on Raspberry Pi to RTX 4090. Full Ollama setup guide with LangChain ReAct agent code.