Here’s Anthropic’s new API rate limits for Claude Opus models thx to this new SpaceX partnership
Anthropic said they are literally using all the compute capacity at @xAI’s Colossus 1 data center: “This will give us over 300 megawatts of additional capacity to deploy within the month.”
Wow.
We A/B test many parts of Cursor: model checkpoints, UX, and the agent harness.
In this case, we tested less than 1% of traffic to compare how Claude behaves with the CC harness versus our default harness (something we do often with offline evals).
Our team does lots to improve the speed, feel, and accuracy of our harness on the queries users ask and care about. Hope to share more about this work soon.
New version of Cybertruck now available to order in the US
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I worked on the Azure Blob Storage export at @posthog ❤️! I tested this with a real Azure account and worked smoothly. @posthog is a great place if you want to ship code that's used by 200k+ users. Fastest way to build real-world software skills. Try contributing!
This is a fun metric. I can imagine someone setting this as a success metric and the AI figures out it could inflate this value by repeatedly creating (and solving) bugs than actual work.
Why not just close stale PRs? @posthog has a bot that closes PRs that have no activity over 2 weeks. I recently PR'd a one-line change there and (understandably) did not get a response for a while so I tagged folks who worked on that area before. @MatlokaM was kind enough to help me out. If anyone is looking out for serious open source contributions I think @posthog is an amazing place. I recently worked on a feature for batch exports and learned a ton from the team.
Text is a string. Math isn’t. It grows in every direction into multi-line structures. That’s why people still do math on paper. We’re bringing that experience to computers. Corca is WYSIWYG math editor, and it's fast!
Went looking for free analytics for a side project, ended up shipping code to 200k+ customers.
I discovered @posthog while hunting for a cheap way to add analytics to a side project. I was so impressed by what they offer for free that I started digging into their codebase to see if it was real. That led me to the batch exports team's sprint board, and I figured why not just pick something up and build it.
3 weeks later: 3200+ lines of code across 3 PRs, touching Temporal workflows, Django APIs, React frontend, and CI integration. The Azure Blob Storage batch export feature is now live.
Before writing code, I studied how the existing export destinations were built. Just plugging in an SDK wasn't going to cut it. At this scale, I needed to understand how Azure actually handles uploads: chunking, parallel connections, retry behavior, performance tuning options. I documented these in the PR so reviewers had context upfront and future maintainers would know where to tune if needed.
The implementation includes comprehensive test coverage parametrized across data models (events, persons, sessions), file formats (Parquet, JSONLines), compression types (gzip, brotli, zstd), and error handling scenarios. The team holds a high testing bar and I wanted to match it.
The feature lets users export @posthog data directly to Azure Blob Storage for their data lakes and downstream analytics. Previously this wasn't an option.
Thanks to @tomasfarias and @rossgray for the thorough reviews and making this a genuinely enjoyable collaboration. The founders @timgl and @james406 have built something unusual at PostHog, a billion dollar company with every line of code open sourced. The radical transparency, high ownership, and lightning fast shipping speed at this scale is genuinely rare!
@harkl_@BenjaminDEKR You still need professionals maintaining and evolving these codebases. I can imagine a sort of public 'trust' that pays for agents working on these open source codebases 24/7 (of course assuming they progress to that point in the future).