bhl

6 ms·

1.
by bhl 9mo ago
gh pr diff [num] 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.
2.
by bhl 9mo ago
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.
3.
by bhl 9mo ago
Multi-agents.
4.
by bhl 11mo ago
Not for us to question or answer though.
5.
by bhl 11mo ago
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?
6.
by bhl 1y ago
Cursor will pivot to a computer use company. 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.
7.
by bhl 1y ago
> 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, engine
8.
by bhl 1y ago
Not all will become OSS. Some will become products, and that requires the best people.
9.
by bhl 1y ago
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.
10.
by bhl 1y ago
Hiring is always a sh*tshow. The only thing that matters is survival: keep applying, keep grinding, keep growing. And if there's any opportunity to show off, don't be shy :)
11.
by bhl 1y ago
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 col
12.
by bhl 1y ago
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 evic
13.
by bhl 1y ago
IIRC, Kleppmann built a prototype for it but it’s not included in Automerge yet.
14.
by bhl 1y ago
1. You can use TipTap with it: just have to wrap your existing schema with automerge attributes. Undo redo would also swap out.
15.
by bhl 1y ago
> 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&#x27
16.
by bhl 1y ago
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
17.
by bhl 1y ago
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).
18.
by bhl 1y ago
I always referred it more as context degradation, but rot is more visceral.
19.
by bhl 1y ago
It's not a 2 year cliff: it's 6 months before vesting, then 2 years before you can sell.
20.
by bhl 1y ago
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
21.
by bhl 1y ago
Slightly weaker, but cheaper models mostly good for Windsurf only. As a developer, I would rather have stronger models I can throw more money at.
22.
by bhl 1y ago
I've been contracting with a startup. The bottleneck is not the lack of tools; it's agency. There's so much work, it becomes work to assign and organize work. But now who's going to do that work? Still engineers.
23.
by bhl 1y ago
Cursor has enterprise mode which forces a data privacy feature.
24.
by bhl 1y ago
Can you open source the code used to produce the evals? Would love to see how its setup: the questions you linked to a ChatGPT chat, but the system prompt, tool calls would all be useful.
25.
by bhl 1y ago
> The second is that LLMs provide the last-mile intelligence needed to verify every result. Each result and piece of data is backed with supporting references that we used to validate that the result is actually a match for your search c
26.
by bhl 1y ago
Building an app to reverse geocode all the photos I've taken and screenshots of places I want to go from TikTok/Instagram. Use cases are extracting the itineraries I took from prior trips, then using that to ground LLM search reco
27.
by bhl 1y ago
I'm surprised the chatbot on Instagram doesn't already have that. Giving an LLM access to a highly personalized search tool (the scroll algorithm) would make asking for recommendations so much better.
28.
by bhl 1y ago
Just give your tool call loop to a stronger model to check if it’s a loop. This is what I’ve done working with smaller model: if it fails validation once, I route it to a stronger model just for that tool call.
29.
by bhl 1y ago
Harder than GeoGuesser is tagging a unique place from a photo even with gps exif data. Try this with bakeries in Seoul or sushi in Japan where there’s high density of same places.
30.
by bhl 1y ago
What's the hard technical aspects of building a product like Windsurf or Cursor? I've only seen codebase indexing or generating embeddings with Turbopuffer. There has to be more magic to that, right?

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