An interesting problem in AI-assisted simulation development:
How do you prevent a visual improvement from changing the underlying gameplay?
I'd want the same simulation inputs to produce the same outcomes regardless of animation quality or rendering frame rate.
Presentation should not silently alter the rules.
Security tip that costs nothing:
turn on two-factor for your email first.
Every other account's reset link goes there.
When an AI agent fixes a bug, ask it for more than the patch.
Ask for:
1. The root cause
2. The exact failing condition
3. Why the previous behavior occurred
4. The regression test
5. The cases that remain untested
A patch fixes today's bug.
A diagnosis helps prevent tomorrow's.
Infrastructure as code matters because it can be reviewed.
A change someone approved beats a console click nobody remembers.
My rule for AI-assisted refactoring is simple:
Change structure without changing behavior.
If both change at once, debugging becomes harder because you no longer know whether the bug came from the refactor or the new functionality.
Which management game ate most of your teenage years?
Brasfoot, Championship Manager, Football Manager, something else?
One underrated code review question:
"Did the agent reuse the abstraction that already exists?"
AI-generated code often looks reasonable while introducing a second implementation of something the codebase already does.
Duplication isn't always obvious in a diff.
Repository awareness is a quality metric.
Layout shift is a trust problem as much as a performance one.
A page that moves under your finger feels broken even if it loads fast.
Your AI coding tool can save you hours of work.
But what happens when someone steals the API keys connected to it?
Developers,
what's the difference between:
Authentication
Authorization
Accounting
Can you explain all three?
Refactoring without tests is rewriting with hope.
Write the test that describes today's behavior first.
We spent years worrying about AI giving wrong answers.
Now we have to worry about AI taking the right actions for the wrong reasons.
AI is finding bugs that survived decades of human code reviews.
How many “secure” apps are actually just waiting to be exposed?
