AI Development: The Engineer's Playbook
Stop using AI as autocomplete. Start using it to build systems. Here's the practical, no-shortcuts approach.
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Stop using AI as autocomplete. Start using it to build systems. Here's the practical, no-shortcuts approach.
The cost of baking observability in from day one is close to zero. The cost of not having it can be measured in missed deadlines, lost revenue, and sleepless nights.
Much of software development is well understood. Smart teams, good communication, building the right things. But what about the parts that aren't in the online textbook?
A peer-reviewed study puts numbers to the AI coding debate. The results might surprise the sceptics.
Cutting through the noise on AI-assisted development, for people who need to make decisions about it.
Aviation has spent a century formalising how to handle human error. It is time software engineering caught up.
Goodhart's Law in action: why measuring the wrong things destroys teams, and what to do instead.
Moving fast doesn't mean breaking things. It means building the ability to turn them off in seconds.
Stop treating onboarding as a series of coffee chats. If your new hire hasn't shipped to production by day two, you're already losing money.
When production fails, the pressure to find a 'why' often gets in the way of finding a 'how'. Here is how to manage the chaos.
We've had five years to figure out remote work. Most companies are still pretending it's temporary.
When building gets cheaper, the finances change completely
AI handles the typing. The hard part was never the typing.
The risks are real. They're also familiar, and manageable.
Your developers are probably already using these tools. The question is whether they're doing it intentionally.
Your developers are probably already using these tools. The question is whether they're doing it intentionally.