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◆The Power of Syscall Abstraction: Simplifying Low-Level System Interactions◆The Power of Syscall Abstraction: Simplifying Low-Level System Interactions◆The Power of Syscall Abstraction: Simplifying Low-Level System Interactions◆The Power of Syscall Abstraction: Simplifying Low-Level System Interactions◆The Power of Syscall Abstraction: Simplifying Low-Level System Interactions◆The Power of Syscall Abstraction: Simplifying Low-Level System Interactions◆The Power of Syscall Abstraction: Simplifying Low-Level System Interactions◆The Power of Syscall Abstraction: Simplifying Low-Level System Interactions◆The Power of Syscall Abstraction: Simplifying Low-Level System Interactions◆The Power of Syscall Abstraction: Simplifying Low-Level System Interactions◆The Power of Syscall Abstraction: Simplifying Low-Level System Interactions◆The Power of Syscall Abstraction: Simplifying Low-Level System Interactions◆The Power of Syscall Abstraction: Simplifying Low-Level System Interactions◆The Power of Syscall Abstraction: Simplifying Low-Level System Interactions◆The Power of Syscall Abstraction: Simplifying Low-Level System Interactions◆The Power of Syscall Abstraction: Simplifying Low-Level System Interactions
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AI for Developers

Using AI assistants without shipping their mistakes

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AI for Developers

When Not to Reach for an AI Assistant

AI tools are powerful, but some situations call for restraint. Knowing when to switch them off is part of using them well.

9 min read

AI for Developers

Rubber-Duck Debugging, With or Without the AI

Explaining your problem out loud often reveals the answer before anyone responds. An AI assistant can be a very patient duck.

9 min read

AI for Developers

Why You Still Have to Review AI-Generated Code

AI assistants are genuinely useful and confidently wrong in ways that are easy to miss. Treating their output as a draft, not an answer, is essential.

9 min read

AI for Developers

Prompting an AI Assistant Well: Clear Context Beats Clever Tricks

Getting good results from an AI coding assistant is less about secret phrases and more about the same clarity you’d give a new colleague.

9 min read

AI for Developers

Prompt Injection: When Your Data Becomes an Instruction

If your application feeds fetched text to a model, that text can give the model orders. Why filtering does not fix it, and the boundary that actually contains it.

9 min read

AI for Developers

When an AI Assistant Invents a Function That Does Not Exist

Generated code that calls a plausible, non-existent API is the failure mode most likely to reach your main branch. Why it happens, why it survives review, and the checks that catch it.

9 min read

AI for Developers

Saturation in Neural Networks: Where Gradients Go to Die

A saturated activation function stops learning, not because the model is wrong but because its gradient has gone nearly to zero. The specific mechanism, and the fixes that actually address it.

9 min read

AI for Developers

When to Reach for an AI Assistant — and When to Write It Yourself

AI is brilliant at some coding tasks and quietly costly at others. A practical map of where assistants save real time versus where they add hidden risk, so you delegate on purpose.

9 min read

AI for Developers

Why AI Invents APIs That Don't Exist, and How to Not Get Burned

AI assistants confidently reference functions, packages and flags that were never real. What causes these hallucinations, the security risk of "slopsquatting", and the verification habits that protect you.

9 min read

AI for Developers

Teaching a Kid to Code: What Works, What Backfires, and Why Scratch Isn't a Toy

A developer-parent's field guide: ages and stages, block languages versus 'real' code, the AI question, and how to keep the spark alive past the first hour.

9 min read

AI for Developers

Using AI to Review and Test Code Without Outsourcing Your Judgement

AI is surprisingly good at spotting issues and drafting tests — and surprisingly good at missing the important ones. How to use it as a tireless first-pass reviewer while staying the final authority.

9 min read

AI for Developers

Prompting an AI Assistant Like an Engineer, Not a Wizard

Vague prompts get vague code. The concrete habits that make AI coding assistants reliably useful — context, constraints, examples — and the trap of trusting fluent wrong answers.

9 min read

AI for Developers

Using AI Coding Assistants Without Shipping Their Mistakes

AI assistants write plausible code fast — including plausible bugs. A practical approach to getting the speed without lowering your standards or your security.

9 min read