PDF Workbook • Intermediate

Ship Better Code Faster.
Then Build AI
Into Your Apps.

14 lessons in two parts: first, AI as a real productivity multiplier in your daily workflow. Then, the patterns and production knowledge for shipping AI-powered features to real users.

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Instant PDF download  ·  Personal & educational use license
AI for Developers Workbook Cover
14
Lessons
5.5h
of Depth
45 pg
PDF
$20
One-time
What You Will Be Able to Do

Six Developer Capabilities This Workbook Builds

From being more productive in your daily workflow to shipping real AI features safely in production — here is what you will walk away with.

pair.programming
Real Pair Programming
Prompt patterns that make AI pair programming genuinely useful — not just autocomplete that completes the wrong thing.
spec.driven
Spec-Driven Development
Write specs first, generate code second. The single workflow change that separates productive AI users from frustrated ones.
code.review
AI-Augmented Code Review
Get structured, specific feedback on your own code using repeatable review prompts for quality, security, and performance.
security.modes
Security & Failure Modes
Understand the categories of bugs AI consistently produces, why they happen, and how to catch them before production.
api.patterns
AI API Fundamentals
Messages, tokens, temperature, streaming, function calling — the building blocks every AI feature is built on.
prod.reliability
Production Reliability
Caching, batching, fallbacks, rate limits, and the cost math you need before shipping an AI feature to real users.
Curriculum

14 Lessons in Two Parts

Part 1 makes you a more productive developer. Part 2 teaches you to ship AI-powered features that work in production.

Part 1 — AI in Your Dev Workflow  (L01–L09)
L01
The Developer's AI Toolkit
Map the landscape — Copilot, Cursor, Claude, Codex — and understand where each one fits in a real dev workflow.
20 min
L02
How AI Coding Tools See Your Code
Learn what context AI actually has when you ask it to write or fix code — and how to give it what it needs.
22 min
L03
AI as a Junior Developer
The most important reframe: treat AI as a fast junior dev you must review, not a senior you can trust blindly.
20 min
L04
Spec-Driven Development with AI
Write specs first, generate implementations second — the habit that separates productive AI users from frustrated ones.
24 min
L05
Pair Programming Patterns That Work
The prompt patterns that make AI pair programming actually useful — not just autocomplete with extra steps.
25 min
L06
AI Code Review — Structured Prompt Patterns
Get useful, specific feedback on your own code using repeatable review prompts for quality, security, and performance.
22 min
L07
Security and Failure Modes
The categories of bugs AI consistently produces, why they happen, and how to catch them before they reach production.
26 min
L08
Debugging with AI
A structured approach to using AI for debugging that actually narrows down root causes instead of generating guesses.
24 min
L09
AI-Assisted Testing — Doing It Right
Generate unit tests, edge cases, and integration stubs without letting AI guess what your code is supposed to do.
24 min
Part 2 — Building AI-Powered Features  (L10–L14)
L10
Calling AI APIs — Core Concepts
Messages, tokens, temperature, system prompts, streaming — the building blocks every AI feature starts from.
26 min
L11
Building AI Features — Common Patterns
RAG, function calling, structured output, multi-turn — the patterns that cover 90% of real AI product work.
26 min
L12
Prompt Injection and Security for AI Features
The attack surface most tutorials skip — how to build AI features that can't be hijacked by hostile input.
22 min
L13
Cost, Latency, and Production Reliability
Caching, batching, fallbacks, rate limits, and the cost math you need before shipping to real users.
24 min
L14
The AI-Augmented Developer Workflow
A complete daily workflow integrating AI into every phase: planning, writing, reviewing, debugging, and shipping.
24 min
What's Included

Everything in the Workbook

Start Learning

The AI Skills Your Dev Career Actually Needs

Not prompting basics. The real stuff: spec-driven dev, failure modes, prompt injection, cost modeling, and shipping AI features that hold up in production.

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Instant download  ·  One-time payment  ·  14 lessons  ·  5.5 hours