Derrick Wippler

Here are the skills I'm experimenting with. I hope they help others in the same way they have helped me! github.com/thrawn01/claud…

Any of these accounts ripping videos from other platforms and sticking their own watermark on them should be demonetized or suspended too, and in an ideal world they should all be required to credit sources for their content

So glad to see this, I started following this account after @elonmusk praised it for its content. But then stopped following it and muted it after I realized it was habitually stealing content without attribution. @nikitabier comes in and saves the day.

@TeenCode6 @rauchg Exactly, decades of research out there hiding under cryptic paper titles, begging for practical application. Who knows what research actually applies to some problems I'm working on now or in the future. How much of that research will be trained into AI in the future? 🤷‍♂️

@thrawn01 @rauchg yeah, i’ve actually been working on this problem inside Snips using ideas from research papers to solve real engineering/product challenges, not just basic AI retrieval. do you also mean finding the best research/materials based on the actual problem statement?

Show me the thing you’ve built with AI you’re most proud of. Reply with a working product URL and what model / agent you primarily used.

@TeenCode6 @rauchg I can typically ask an AI to do this work for me, but what I really would love to have is some sort of agentic search which matches my current problem with several different research papers related to the problem I'm solving.

@rauchg usesnips.com -> i use gemini 3 models

@buildbypratik @rauchg Zomg 😍 I need this in my life. Looking forward to the release!

@rauchg Building a Mac app that rewrites what you type into clear English in any app, as you type. No copy-paste, no switching to ChatGPT. Hit a hotkey or just pause, and a suggestion appears inline. Still rough, still solo. Here's where it's at

You might believe you should spend less time thinking about code because of AI. I strongly disagree! We’re watching this play out live where tons of AI generated code becomes a liability. At the end of the day, an engineer needs to be responsible / on call for code that gets shipped to production. If you don’t understand the system you’re trying to debug, you’re probably going to have a bad time. Yes, AI can help with all of this, if you set up the proper systems. You can have agents triage prod logs, look at errors, etc. You can speed up parts of the investigation, but an engineer needs to make the call. There might be serious customer or financial implications from that change. I expect the trend continue for trimming dependencies, vendoring code so you can modify it directly, preferring simpler systems with fewer abstractions, and spending waaaay more time thinking about system design and code maintenance. I’ve said this before, but it’s a great time to get familiar with CS fundamentals and some of the history behind what great software looks like. Many parts will be different in the coming years as AI progresses, but also a lot more than people realize will stay the same.

AI is largely going to slow gRPC adoption because an AI can't marshall the protobuf request payload without tooling. It will always prefer JSON based APIs This makes DUH-RPC more relevant than ever. github.com/duh-rpc/duh.go

@unclebobmartin This has been my experience also, So glad to hear this! The key, is tests which focus on product correctness, and target the surface of the thing you are creating. I created a skill for this to make my life easier ✨ github.com/thrawn01/claud…

I am absolutely more productive using agents. I don't know the factor but it's large. However much of that productivity is spent tuning the agents and hardening the product. I'm guessing 30%-40%. Some might consider that a waste; but I don't. The software I'm creating nowadays is vastly more robust than I'd ever been able to create manually. I don't mean that the code is better. I mean the surrounding tests are vastly better. I have a higher degree of confidence than I ever had manually -- even when I used very disciplined TDD and Acceptance testing. And then there's the ability to quickly reorganize the modules and the architecture while keeping those robust tests running. That is a tremendous boon.

@elonmusk I had never heard of this anti-family propaganda before, so I asked grok. With access to so much information, we can do better, we can avoid what Boorstin called "the illusion of knowledge", the confidence that comes from never having checked. TIL! thank you for building Grok!

Indeed

@Tobias__Ziegler and team did a great job here. Go read it! vldb.org/pvldb/vol19/p1…

I wrote these words 7 months ago. I am more grateful today for Andrew's leadership of the ZSF, that the foundations of TigerBeetle, our compiler, should not be vibed out beneath us. Standing up to “trillion dollar” big corp… Zig is hard core quality. tigerbeetle.com/blog/2025-10-2…

Should I spend a ton of tokens and re-write @bunjavascript in golang, so everyone can STFU about languages?

@fatih @PlanetScale Unit, Integration, E2E testing isn't the important part. What's important, is that you are testing the surface areas that make up your product. Google has known about this for decades. github.com/thrawn01/claud…

I was a huge unit test supporter, but honestly, it's no longer worth it. Agents are superb at writing extremely bad unit tests, and they still look good on paper. We're also shifting slightly to more and more e2e tests at @PlanetScale. Luckily with agents, that shift is also manageable.

@iavins The rust compiler, when you don't understand lifetimes.

👀

@tom_a_r_johnson @tottinge Exactly! As AI use in software grows, the importance of quality and correctness increases! How do you validate what the AI has written is correct? How do you know it hasn't written slop?

@tottinge @thrawn01 if only more people understood that feature-richness and the speed with which features are added... ...are hugely improved by focusing on correctness and quality.

Why isn't the center of all software engineering, correctness and quality?

🔥🔥😅

@spirodonfl fair point, dev velocity and product quality are distinct. I was coming from the point of view of the user, if the rewrite doesn't create a better bun, then why? Velocity matters less now thanks to AI. Quality and Product are what should drive developers in an AI world.

@thrawn01 You are conflating the time it takes to build a product with the quality of the product. A language being *faster to produce code with* vs shifting bits is not = to greater product. You would also have to prove a language produces better products with some metrics.

so how we feeling about Bun moving to Rust now?