"AI code helper" covers four different products, and confusing them is why people end up disappointed. What free tiers actually cost you, how to use one well, and when you did not want code at all.
Half the meetings on your calendar could have been a message. Knowing the difference — when to talk live and when to write it down — is one of the highest-leverage skills in any team that wants to move fast.
Every 'best email service' list is sponsored. Here's an unsponsored framework for actually choosing — based on what you're sending and what you'll regret skipping.
"Premature optimization is the root of all evil" is the most-quoted line in programming. It's true. But it's been twisted into an excuse to ignore performance entirely — and that's its own kind of evil.
"Build what customers ask for" is good advice that becomes a trap. Customers describe their problems in the language of existing solutions. The best features are often the ones nobody requested — because nobody knew to.
AI can write code faster than you can think. That's either the biggest productivity unlock in a generation or a slow erosion of real engineering skill. Which one depends entirely on how you use it.
Most engineers think of tests as bug-catchers. That framing leads to bad tests. The real purpose of a test suite is confidence — the freedom to change code without fear. Reframe it and you write better tests.
A great API feels obvious — you guess how it works and you're right. That feeling isn't an accident; it's the product of dozens of small design choices most teams never think about.
New frameworks drop constantly, each promising to change everything. Chasing them is how teams end up rewriting instead of shipping. Here's how to choose a stack you'll still be happy with later.
Password resets, receipts, alerts — the unglamorous emails your product can't function without. Here's why you need a proper API for them, not a hacked-together script.
