AI Build BytesAI features that don't break in production.
Short, dense lessons for developers building with LLMs. The retries, caching, guardrails and failure handling that demos skip.
$ python ship_feature.pyattempt 1 529 overloaded backing off 0.8sattempt 2 429 rate limited Retry-After 2sattempt 3 200 OK 812ms1 request, 3 attempts, 0 duplicate charges
Track 1: ship your first reliable AI feature
Six lessons, from basic to advanced. Each one is short and ends with an exercise that gets checked, not a video to sit through.
- 01Retries that don't make outages worseBasic
- 02Prompt caching to cut cost and latencyBasic
- 03Valid JSON from an LLM, every timeIntermediate
- 04Why your agent loops forever, and how to stop itIntermediate
- 05Idempotency: retry without double-chargingAdvanced
- 06Guardrails every AI feature needsAdvanced
Lessons that adapt to you
Skip what you already know and spend your time on what you don't.
Placement check
A few questions find your level and the stack you work in.
Your path
Lessons ordered for where you are, from basic to advanced.
Checked exercises
Write the code, run it against real failure cases, and get feedback on what broke.
Who writes the lessons
Written by a senior engineer with 18+ years building payment systems, where a retry that runs twice means charging someone twice.
These are the patterns that keep money-moving systems correct, applied to AI.
Questions
Who is this for?
Developers who can already code and want to build AI features properly, from early-career to senior.
Is it a video course?
No. Short interactive lessons with exercises that get checked.
Which languages?
Python examples first, with more to follow.
When does it launch?
Waitlist members hear first, with one email when Track 1 opens.