Stop Tracking Tokens. Start Building Value
Dark code is killing your codebase: The hidden crisis of AI engineering
Hey friends, let’s cut through the noise.
We’re charging full speed into the Dark Factory of modern software engineering. AI is cranking out code at lightspeed, companies are obsessing over “Tokenmaxxing”. StrongDM is tracking $1000+ in tokens per engineer per day as a productivity metric like it’s some badge of honor.
Meta engineers are deep in “Claudeonomics,” battling for titles like Token Legend and Cache Wizard. Microsoft and Salesforce are playing the same game.
We’re repeating every productivity mistake from the lines-of-code era.
“This is just the latest chapter in an age-old battle, and it is a really bad idea. We’ve measured lines of code, story points, hours spent in the seat, hours spent per task, bugs fixed per week, and who knows what else. None of these metrics seems to work, and they all end up getting gamed. That’s why we aren’t doing ourselves any favors when we start doing things like “tokenmaxxing”.” - Nick Hodges, Tokenmaxxing is super dump
You already know how this story ends: metrics get gamed, velocity feels great, but what you actually ship is Dark Code — it works, it passes tests, it ships fast… yet nobody truly understands it. Six months later you’re doing digital archaeology instead of building.
Here’s the truth that matters:
“Can generate code” is now the baseline. The real differentiator — the premium skill — is judgment.
Asking sharper, more precise questions
Feeding AI rich context instead of vague prompts
Spotting subtle nonsense before it reaches production
Obsessing over clean architecture, happy users, and systems that won’t make you cry later
Speed without understanding is just expensive technical debt.
Stay sharp, stay in control, and build with clarity over blind velocity. That’s how you thrive in the AI era — not by tokenmaxxing, but by outthinking the machines.
What’s the craziest productivity metric you’ve seen in the wild lately? Drop it below.
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