Two things LLM coding agents are still bad at | ʕ☞ᴥ ☜ʔ Kix Panganiban’s blog Home Blog sisig.ai Mailing List RSS feed 09 Oct, 2025 I’ve been trying to slowly ease into using LLMs for coding help again lately (after … Read more
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Last week, I went on an adventure through the electromagnetic spectrum! It’s like an invisible world that always surrounds us, and allows us to do many amazing things: It’s how radio and TV are transmitted, it’s how we communicate using … Read more
People do or do not use debuggers for a variety of reasons. For one thing, they are hard to setup in many codebases. Second, you can’t use them when your application is running on remote environments (such as kuberenetes). So, … Read more
Synchronized demand is the moment a large cohort of clients acts almost together. In a service with capacity $mu$ requests per second and background load $lambda_0$, the usable headroom is $H = mu – lambda_0 > 0$. When $M$ clients … Read more
July 2013 One of the most common types of advice we give at Y Combinator is to do things that don’t scale. A lot of would-be founders believe that startups either take off or don’t. You build something, make it … Read more
Es el disco de Odín. Tiene un solo lado. En la tierra no hay otra cosa que tenga un solo lado. Zig’s comptime feature is most famous for what it can do: generics!, conditional compilation!, subtyping!, serialization!, ORM! That’s fascinating, … Read more
The trouble with ‘everything-bagel’ Abundance is the gaping hole right in the center of it. Throwing out preclearance when it has worked and is continuing to work to stop discriminatory changes is like throwing away your umbrella in a rainstorm … Read more
I’ve spent about a year working on an autorouter for tscircuit (an open-source electronics CAD kernel written in Typescript). If I could go back a year, these are the 13 things I would tell myself: An intermediate stage of our … Read more
To celebrate 50k subscribers to Product for Engineers, here are the 50 most important lessons we’ve learned about building successful products: Small teams (6 people or fewer) can build great products, but they need to be given autonomy to set … Read more