It does not matter what 80-90% of developers do. Code development is heavily tail-skewed: focus on the frontier and on the people who are able to output production-level code at a much higher pace than the rest.
What’s the solution here, reward code that works without try catch, reward code that errors and is caught, but penalize code that has try catch and never throws an error?
The gap between coding agents in your terminal and computer agents that work on your entire operating system is just too narrow and will be crossed over quick.
> Originally, it was all about quality data sources.
It still is! Lots of vertical productivity data that would be expensive to acquire manually via humans will be captured by building vertical AI products. Think lawyers, doctors, engineers.
The moat is people, data, and compute in that order.
It’s not just compute. That has mostly plateaued. What matters now is quality of data and what type of experiments to run, which environments to build.
Stacked diffs is a huge one, and also where improving git would also improve LLM workflows. The bottleneck after code generation is PR reviews, and stacked diffs help break down large PRs into more digest-able pieces.
If you help humans collaborate better, you help LLMs collaborate better.
Mobile has really strong offline-primitives compared to the web.
But the web is primarily where a lot of productivity and collaboration happens; it’s also a more adversarial environment. Syncing state between tabs; dealing with storage eviction. That’s why local first is mostly web based.
> The Codex sprint was probably the hardest I've worked in nearly a decade. Most nights were up until 11 or midnight. Waking up to a newborn at 5:30 every morning. Heading to the office again at 7a. Working most weekends.
There's so much compression / time-dilation in the industry: large projects are pushed out and released in weeks; careers are made in months.
Worried about how sustainable this is for its people, given the risk of burnout.
Cursor has custom tab and embedding models. And has a lot of distribution / paying users already.
Arguably they have the strongest product moat, and I wouldn’t be surprised if they beat OpenAI in a vertical coding model from that. Easy for them to have users generate evals and have model product feedback loop here.
I don't know anyone who heard or used Windsurf outside the Bay Area. Even Cursor feels very Bay Area bubbly (although that is the market to go after if you're in ai dev tools).
Ecosystem for local-first and mobile is pretty immature, at least for Swift.
In comparison to the web where there's so many libraries e.g. Zero, LiveStore, LiveBlocks, I've yet to find a good GRDB (sqlite abstraction) integration / client.
Offline-first is definitely very strong, but now how do I get data into a remote database with conflict resolution support?
also works if you have the GitHub cli installed. Would setup an AGENTS.md or SKILL.md to instruct an agent on how to use gh too.