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How-to guides for building real AI apps, switching careers, and preparing kids for college-ready computer science. Plus honest comparisons of the choices that actually matter in 2026.
AI can write code. Your kid still needs to think like a software engineer. The honest case for Python + AI fundamentals — and why we place kids by skill, not grade.
WebSocket + mic streaming + function calling over voice + interruption handling. The 8 steps to a working voice AI in Python — with real code.
Chunk, embed, store, retrieve, answer. The seven steps that actually matter — with working code and the gotchas tutorials skip.
A week-by-week plan from working professional to interview-ready AI engineer. The four biggest traps and how to avoid them.
Why coding classes should be based on skill, not grade — plus a level checklist and a 15-minute at-home check you can run without knowing how to code.
Does coding still matter when AI writes code? What to know before learning AI, what age to start, and when a direct AI path makes sense.
A year-by-year plan to AP CSP and AP CSA — Python foundations, the Python→Java bridge, and a portfolio that gets seen. Start from your child's skill level, not their grade.
Most teams should start with RAG and stay there. The simple decision tree we use with cohort students building real AI apps.
Self-paced courses, bootcamps, or live small cohorts? An honest, inside-the-tent comparison — including the four real differentiators.
Honest answer: Python first for almost every kid. Here's why, with a multi-year plan that adds JavaScript when it stops being a tax.
These guides are the same material we teach in live cohorts — paired with feedback, small-group projects, and a portfolio that gets noticed. If you'd like to see how a class actually runs, join the next free live demo.