Software engineering principles, best practices, and professional development for building robust, maintainable, scalable systems.
Context limits aren’t vibes—they’re math. Learn truncation behavior, token budgets, and RAG chunking so your model stops forgetting the important part.
Tokens are the meter your model charges in: context, latency, and cost. We'll make tokenization visible using your existing local Ollama service—first via a CLI token inspector + heatmap, then with a live-updating browser playground.
Run a local LLM on macOS, Linux, or Windows, call it over HTTP like a real service, stream output in Node/Python/Go/C++, and measure TTFT + throughput to understand what's actually happening.
How to wire AI into your CI pipeline, release process, and observability stack without handing the keys to an unreliable robot.
Transform AI code assistants from unreliable oracles into trusted teammates. Learn the Spec → Tests → AI → Review workflow, three failure modes to avoid, and concrete patterns for leading AI agents effectively in your daily coding sessions.
Transform from solo contributor to Software Architect leading an army of AI agents. Learn why deep knowledge of software development best practices is essential for driving standards across the full software development lifecycle and leading AI agent teams effectively.
