Everything we’ve written, organised to actually learn from.
Start with a guided path if you want a from-scratch build, or jump to a complete guide on the one topic you need. No fluff — working code you can ship.
Designing AI-Native Applications
You can put an AI agent behind a REST endpoint in an afternoon. It will pass every demo, then…
AI Agents from Scratch in Python
You can build an AI agent without being a Python expert. But you do have to read Python — and most…
Agentic AI in Python: Zero to Production
Most developers I know first encounter "AI agents" as a buzzword in a conference talk or a Medium…
Agent Orchestration Patterns: A 2026 Guide
The five agent orchestration patterns (supervisor, hierarchical, sequential, parallel, swarm), why the supervisor wins in 2026, what multi-agent really costs, and when a single agent was the right call all along.
Navmeet Kaur · Jun 26, 2026 · 5 min · IntermediateSoftware Architecture · GuideAI Agent Memory Architecture: A 2026 Guide
AI agent memory is the storage tier behind the context window. The three long-term types (episodic, semantic, procedural), the write-recall-forget lifecycle, where it breaks, and when an agent needs no memory at all.
Navmeet Kaur · Jun 25, 2026 · 5 min · IntermediateSoftware Architecture · GuideContext Engineering Architecture: A 2026 Guide
Context engineering treats the model's window as RAM you assemble on a budget, not a prompt you write. The sources that fill it, the pipeline that builds it, where it breaks, and when a plain prompt is enough.
Navmeet Kaur · Jun 25, 2026 · 4 min · IntermediateAI Engineering · GuideWhat Is RAG in AI? A Practical Developer's Guide (2026)
What retrieval-augmented generation actually is, the retrieve-augment-generate loop in plain language, a 25-line RAG you can run today, and when to use RAG instead of fine-tuning or a giant context window.
Sukhveer Kaur · Jun 25, 2026 · 5 min · BeginnerGet the AI Engineering Roadmap (PDF)
The exact path from Python basics to a deployed agent — one page, free.