@BretFisher Maybe I missed it, but for the crowd like me that followed you down the path of GitHub copilot + opencode, what’s the new path now that GitHub’s copilot subscription moved to a usage model?
Have a problem I genuinely would love input on. My wife and I own a local newspaper. In our town the police arrested a member of the community for having what they thought were naked pictures of a juvenile on his phone. Held him for days. Turns out, it was his own kid and none of the pictures were sexual. Terrible.
Newspaper we own reports on it. Just the facts. Also report on when he’s released and there are no charges. Exactly what local news should do.
He sues us and the local radio station, which had also reported on the arrest. We’re like: dude, we just reported the facts. Radio station settles (not sure terms). We push on because we did nothing wrong and the nature of a newspaper is reporting what happened.
So we win. No cause of action against the paper. And then we, under statute, get awarded attorneys fees. They amount to tens of thousands of dollars.
So what’s the right move? I don’t particularly care about the money. But I do want to discourage other caseless plaintiffs against suing us. Has been a costly distraction. But also seems wrong to bankrupt the guy. Genuinely looking for what to do next…
@eastdakota@Cloudflare Outperforms S&P 500, decides it’s time for layoffs. Yes the severance package is more than others, but there’s people who have been out of work for multiple years now. Leadership showing accountability is only for individual contributors
People post this stuff all the time about developer velocity going through the roof, but as an end user, I’m not seeing the product becoming even 2x better. So is AI not as incredible as they say it is, or are the wrong product decisions being made?
Uber gave 5,000 engineers access to Claude Code in December. By February, usage had nearly doubled. By April, the CTO told the company they'd burned through the entire annual AI budget.
The adoption curve tells you everything about what happened. In December 2024, 32% of Uber's engineers were using Claude Code. By February 2026, that number was 63%. That's not a gradual rollout. That's a product so useful that engineers pulled it into their workflow faster than finance could model the spend.
Uber has about 34,000 employees. Engineering is roughly 15% of that headcount, somewhere around 5,100 people. At enterprise API pricing, Claude Code runs $100 to $200 per developer per month on Sonnet alone. But that's the subscription math. The real number is token consumption, and Uber's engineers aren't building hello-world apps. They're building rider-driver matching algorithms, dynamic pricing engines, and real-time logistics across 70+ countries. Every one of those tasks eats context windows for breakfast.
The scale of what these engineers are actually doing with AI is wild. 92% of Uber's developers use AI agents monthly. 65 to 72% of code written inside IDEs is now AI-generated. 11% of all pull requests are opened by agents, not humans. The company's AI code review system, uReview, analyzes over 90% of the 65,000 diffs Uber ships per week.
AI-related costs at Uber are up 6x since 2024.
CTO Praveen Neppalli Naga's quote was "I'm back to the drawing board." That's the CTO of a $144 billion company admitting that the tools work so well his team can't afford to keep using them at this rate.
Here's the part nobody is pricing in. Anthropic's Claude Code hit $2.5 billion in annualized revenue by February 2026. That's up from $1 billion in November 2025. The fastest enterprise software ramp in history, and a huge portion of that growth is coming from exactly this pattern: companies deploy Claude Code, engineers love it, usage explodes, budgets evaporate.
Uber won't be the last company to have this conversation. The average Claude Code developer burns about $6 per day. Multiply that across thousands of engineers running complex agentic workflows, spawning sub-agents that each maintain their own context windows, and the math compounds fast. One engineering team running Claude Code in automated CI/CD loops can drain a monthly budget in days.
The CFO problem is now the bottleneck for AI adoption at the enterprise level. The technology works. The productivity gains are real. Uber's own data says 75% of AI code review comments are marked helpful by engineers. The constraint is that traditional annual budgeting was designed for tools with predictable per-seat costs, and AI coding agents have usage curves that look like cloud compute bills from 2015: exponential until someone notices.
Every enterprise CTO is about to have the same meeting Praveen just had. The tools are too good to pull back. The costs are too unpredictable to ignore. And the companies that figure out token cost optimization first will have a structural advantage over every competitor still running annual budget cycles against exponential adoption curves.
Still rooting for Team USA but damn… these games have been boring as hell to watch.
Save me the “this is the American way to play the game” speech. As a former big leaguer you hear all the time at nauseam… we play a kid’s game.
Well damn… act like it. Have some fun. Celebrate these moments. The DR, Venezuela, Japan, Mexico, Puerto Rico… those boys are playing with real juice and you can feel it through the TV.
Right now Team USA look dry as hell. I’m talking like somebody just ate a whole pack of saltine crackers in the desert with no water in sight.
Still rocking with the boys… but somebody please bring that Adam Jones 2017 energy. 🇺🇸⚾️
“Shipped 10,000+ lines of code today”
“Cool what product? What’s the link”
“…163 PRs in one day!”
“Yes but what’s the link”
“…1,827,963 tokens and counting!”
“Dude what are you working on”
“…AI is crazy man”