AI in Programming: The Bottleneck Moved to Review
Writing stopped being the constraint. The time you need to know the code is correct did not change. For a working programmer and the lead of a small team — not for anyone who does not read code.
$109Subscription — one-time, lifetime access
01 — Overview
Overview
You used to spend twenty minutes writing a function. Now you get it in twenty seconds. But the time you need to understand that it is correct has not changed at all — so the bottleneck moved from writing to reviewing, and reviewing skill became the thing that separates one engineer from another.
Which is why the whole course rests on one rule: do not merge code you cannot explain. Simple to state and hard to hold to under delivery pressure — and it is enforced three times over, as a personal rule, as the first item on a review checklist, and as a team rule in pull requests.
And it says plainly where you lose: architecture, anything touching money or permissions or identity, concurrency, migrations, and a language whose concepts you do not know. The governing rule is that the more correctness depends on what is not visible in the file, the smaller the benefit and the larger the risk.
02 — What you will learn
What you will learn
Why clean generated code disables your doubt — and is therefore more dangerous than clumsy code
The 70% trap: why code that mostly works is worse than code that does not work at all
Four questions that sort any task, starting with the decisive one: can I judge the output?
The difference between a language whose concepts you know and one you do not — and why it decides everything
The four kinds of context that make output fit your project: real signatures, the verbatim error with its trace, invisible constraints, and a neighbouring example
The invented API: plausible function, option and package names that do not exist
A seven-section review checklist — understanding, edge cases, errors, performance, security, dependencies, consistency
The most commonly missing item in generated code: the authorisation check nobody asked for
Why you must never let the tool write the code and its test together — the green test that locks in the bug
Vetting a suggested package: does it exist, is that exactly its name, is it maintained, does its licence fit
What changes in pull request review when the author did not write the code — and the cap on request size
“Learn first, then go fast”: a programmer who never debugged by hand cannot debug generated code
03 — The lessons
The lessons
- The Bottleneck Moved: From Writing to Reviewing
- Where You Genuinely Gain — and Where You Lose Silently
- Context: Why the Code Fails in Your Project
- Reviewing Generated Code: The Checklist
- Tests: The Best Use — and the Most Dangerous
- Security, Dependencies and Ownership
- The Team: Review, Disclosure and the Beginner
- The Capstone: The Scope Map and the Audit
04 — What you get
What you get
8 interactive lessons in short sections
~4 hours including hands-on tasks
A quiz per lesson + completion certificate
Two full editions: Arabic + English
05 — How subscribing works
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06 — Questions, answered
Questions, answered
Do I need to be a programmer?
Yes, and I would rather say so than sell it to you. The course assumes you read and review code, and its whole subject is the discipline of reviewing what a tool produced. If you run a business and want to know where these tools save your time, "AI for Work" is written for you instead.
Which language is it in?
None in particular. The examples are short and readable by anyone who programs, and the subject is method rather than syntax: task triage, the context to supply, the review checklist, the test order, and dependency vetting. All of it applies whatever you write in.
Does it teach attack techniques?
No. Lesson six is entirely defensive and says so explicitly: it is about what you verify in your own code — bound parameters, server-side validation, output encoding, the authorisation check, secrets, and never accepting hand-written cryptography. What to check, never how anything is attacked.
Will it make me faster?
Not by itself, and the closing says so. These tools shorten writing, and writing was never most of the work — most of it is understanding, reviewing, integrating, testing, debugging and shipping. What you actually gain depends entirely on your discipline in review, which is why the course is mostly about that.
How do I pay and get access?
There is no online payment on this site. Send the request form, I contact you personally, we arrange payment (cash or local transfer), then you get a one-time activation code for one device with lifetime access.
07 — Send your request
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