The way developers write code looks different than it did a few years ago. But reviewing those changes, merging them safely, and collaborating on them has increasingly become the bottleneck for building production-grade software.
The team at Graphite has spent the past few years thinking deeply about these workflows and have built a code review platform used by hundreds of thousands of engineers at top engineering organizations. The boundary between where you write code and where you collaborate on it feels increasingly arbitrary, and there's a lot we think we can build by collapsing that distance.
We are excited to announce that Graphite has entered into a definitive agreement to be acquired by Cursor.
Graphite will continue to operate independently with the same team and product. Over the coming months, we'll explore connecting the two products in ways that we hope will feel natural: tighter integrations between local development and pull requests, smarter code review that learns from both systems, and some more radical ideas we can't share just yet.
I ve been using Google s @NanoBanana image tools for a while now for quick visuals, edits, and the occasional cursed meme. They ve been good enough that I haven t really felt a big urge to switch.
But I m seeing a ton of buzz around @ChatGPT Images and how much better they are for real-world stuff like thumbnails, product shots, and UI mocks.
GitHub recently published this year's Octoverse, the state of the open-source ecosystem.
Below are my key takeaways:
AI doesn t replace developers it brings more people into the ecosystem. A new developer joined GitHub every second in 2025. Top 5 developer populations: 1. United States, 2. India, 3. China, 4. Brazil, 5. United Kingdom.
Open source remains the foundation. Fastest-growing OSS projects by contributors include @Zen Browser, @VS Code, and AI-focused @Continue.
TypeScript is now the most used language on GitHub, overtook both Python and JavaScript. The AI effect? 80% of new repositories used just six languages: Python, JavaScript, TypeScript, Java, C++, and C#.
Gen AI is now standard in development. 1.1M public repositories now use an LLM SDK.
Agents are here. Coding agents created 1M+ pull requests (PR) in the last 6 months, and it's just getting started.
I ve been working with MongoDB for years, and one problem always frustrated me: even simple questions required digging through syntax, roles, pipelines, connection strings, and endless tab hopping.
So I built a small Python script to visualize my own production data. That script kept growing first into a local dashboard, then into an NLP layer to write queries for me, then into a full UI.
That project eventually became Hubble an NLP-based MongoDB explorer.
Hubble turns your MongoDB cluster into a data observatory.
Ask questions in plain English, visualize patterns, inspect collections, detect anomalies — all without touching MongoDB’s query syntax.
A new way to see your data.
A tagline is the first piece of content a user will see about your product on the leaderboard. It's so important that you get it right. You should be able to get a really solid idea of what your product is just by reading a handful of words.
In the spirit of forever optimising our taglines, I wanted to do a little experiment:
A tagline is the first piece of content a user will see about your product on the leaderboard. It's so important that you get it right. You should be able to get a really solid idea of what your product is just by reading a handful of words.
In the spirit of forever optimising our taglines, I wanted to do a little experiment:
I m seeing a noticeable shift in job descriptions lately.
There s a growing demand for Product Engineers (or Product Builders) people who can take a feature from spec all the way to shipping.
Sure, a lot of this momentum comes from software engineers using AI to speed up their workflow
but I m convinced PMs and Product Designers are going to step into these roles too. Strong product sense, design intuition, and prioritization are becoming just as important as deep engineering knowledge.
