AI+Libraryby Straits Institute for Applied AI
Catalogue/Workbooks/Technology & Digital
AI+ Developers Workbook cover
T2-26W · Workbooks

AI+ Developers Workbook

Practice companion to AI+ Software Developers

Practice companion to T2-26.

The frameworks are in your head. This is how they get into your hands.

You read AI+ Software Developers and starred every framework. Then you went back to pasting functions into a chat window and committing whatever looked plausible. This workbook closes that gap: 40 exercises on your own code, three calibration drills that train you to catch confident-but-wrong AI output, and the habit of verifying and SHIP-checking before you commit. Built by an AI engineering firm for developers who want the frameworks in their hands, not just their heads.

Tier
Workbooks
Category
Technology & Digital
Format
Workbook
Updated
Q3 2026
Inside
  • 40 exercises on your own code — prompting, refactoring, testing, debugging, review, and agents, week by week.
  • Three calibration drills that train you to catch the confident-but-wrong function, refactor, and unsafe paste.
  • TRUST-for-code, made routine — compile, run, tests pass, does the thing, real APIs, before every commit.
  • The SHIP check as a reflex — classify code and data before it ever enters a prompt.
  • A real agent workflow — one multi-file task run end to end under the Agent Engagement Loop.
Who this is for

Professional software developers who have read (or are reading) AI+ Software Developers (T2-26) and want to convert its frameworks into habit against their own code, repository, and stack. Two to fifteen years' experience across web, mobile, backend, data, and tooling; already using at least one AI coding tool opportunistically.

Also for:Tech leads and engineering managers running the workbook as a team CPD programme; bootcamp and continuing-education cohorts pairing it with the parent book.

You’ll be able to
  • Has applied the Developer Prompt Toolkit and PRISM to real recurring development tasks — code generation, review, tests, debugging, documentation, commit messages — across four weeks
  • Has applied TRUST-for-code (compile, run, tests pass, does the thing, follows style, real APIs) to evaluate AI-generated code before committing, and caught seeded failures in calibration drills
  • Has applied the SHIP Protocol to classify real code and development data before AI interaction
  • Has run a real multi-step task with an AI coding agent using the Agent Engagement Loop (Scope → Brief → Review → Iterate → Verify)
  • Has produced a personal AI coding practice and safety baseline grounded in their own stack and repository
What’s inside
Week 1
Prompting AI for Code
Week 2
Writing, Refactoring, Testing and Debugging
Week 3
Review, Documentation and the SHIP Protocol
Week 4
AI Coding Agents and Your AI Career
Back matter
Skill Summary · Recommended Next Reads · Glossary · Tool Reference

Built by an AI engineering firm for developers who want the frameworks in their hands, not just their heads.

How this was made

Every AI+ title is written by AI engineers who build production AI systems, then verified by practising professionals in the field it serves. Titles are reviewed every six months and updated whenever the technology or regulation shifts. Localised editions are reviewed by in-region experts before release.

Our editorial approach →