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Learning paths, long-form lessons, architecture-first tutorials, and reusable technical knowledge designed for software, QA, AI, and platform engineers.
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Module 3: orchestration patterns and evaluation loops
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Resume where you left off and keep momentum across structured modules.
Playwright End-to-End Testing
Featured Learning Paths
Structured roadmaps for high-signal topics
AI Engineering Foundations
Master the fundamentals of AI engineering — from LLMs and prompt design to embeddings, RAG pipelines, and production deployment.
Building AI Agents
Design and build autonomous AI agents with tool use, memory, planning, and multi-agent orchestration using modern frameworks.
Playwright End-to-End Testing
Write fast, reliable, and maintainable end-to-end tests with Playwright. From setup to CI/CD integration and visual regression.
Latest Tutorials
Deep dives for architecture, testing, and AI systems
Build a RAG Pipeline with Next.js and pgvector
A complete walkthrough of building a production-ready retrieval-augmented generation system using Next.js, OpenAI embeddings, and pgvector.
Playwright E2E Tests in GitHub Actions
Set up a fully parallelized Playwright test suite in GitHub Actions with sharding, caching, and HTML reports.
Building Your First MCP Server in TypeScript
Step-by-step guide to building a Model Context Protocol server from scratch, with tools, resources, and error handling.
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Daily engineering notes and technical signals
Claude Opus 4 Tool Use: Patterns That Actually Work
Been testing parallel tool calls with Claude Opus 4 in production. Here are the retry patterns and timeout strategies that reduced our latency by 40%.
MCP Transport: stdio vs SSE — When to Use Each
After building 6 MCP servers, I have strong opinions about transport choice. SSE is overrated for most use cases. Here is why.
Playwright Trace Viewer is Criminally Underused
The Playwright trace viewer gives you a full recording of your test run with DOM snapshots, network requests, and console logs. Here is how I debug flaky tests with it.