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Performance Numbers Worth Knowing
Performance Numbers Worth Knowing
When you design software to achieve a particular level of performance, it can be a good idea to be familiar with the general speed regimes you are working with: fundamental limitations like storage devices and networks can drive software architecture. Here are a set...
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Use One Big Server
Use One Big Server
A lot of ink is spent on the "monoliths vs. microservices" debate, but the real issue behind this debate is about whether distributed system architecture is worth the developer time and cost overheads. By thinking about the real operational considerations of our systems, we can ge...
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Keep Pydantic out of your Domain Layer | Coderik
Keep Pydantic out of your Domain Layer
You’re probably reading this because you’re using Pydantic yourself. Maybe you’re building a FastAPI application and hit a point where it started getting too big to manage, and you realized you need better separation of concerns. Perhaps you’ve started adopting...
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You might not need a Python class :: Adam Grant —
Python is an incredibly versatile programming language known for its simplicity and readability. Among its features, the ability to use classes for object-oriented programming is both powerful and frequently recommended. However, classes aren’t always the best solution. In many cases, Python’s built...
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<antirez>
Frontier LLMs such as Gemini 2.5 PRO, with their vast understanding of many topics and their ability to grasp thousands of lines of code in a few seconds, are able to extend and amplify the programmer capabilities. If you are able to describe problems in a clear way and, if you are able to accept th...
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Identifying bots in an online auction
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The data consists of a list of bid events (auction id, user id, time, IP, location) and a table, X, with the bidder id's, the hashed contact and payment addresses and whether the bidder is a robot or a human. The interesting part of this problem is to find ways to characterize bidding behaviour - ...
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https://zachwills.net/i-managed-a-swarm-of-20-ai-agents-for-a-week-here-are-the-8-rules-i-learned/
A couple weeks ago I went heads-down and experimented with a new development model. The results were unexpected: a production-ready application, ~800 commits, and 100+ PRs in a single week.
The core idea was to stop coding linearly and instead manage a swarm of ~20 parallel AI agents. This required ...
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3D Modeling with Paper
August 31, 2025
3D Modeling with Paper
Over the past several years, I've enjoyed the hobby of paper modeling (or papercraft), the art of creating 3D models from cut and glued parts from paper sheets. This hobby is a superset of origami, in that it allows for cutting and gluing, as well as for multip...
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Building an AI Agent from Scratch with OpenAI and Postgres: A Complete Guide
Building an AI Agent from Scratch with OpenAI and Postgres: A Complete Guide
In this comprehensive guide, I’ll walk you through the process of creating your own AI agent using OpenAI’s powerful models and PostgreSQL as your database backend. This implementation will give you a flexible, scalable fou...
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Defeating Nondeterminism in LLM Inference
Defeating Nondeterminism in LLM Inference
Reproducibility is a bedrock of scientific progress. However, it’s remarkably difficult to get reproducible results out of large language models.
For example, you might observe that asking ChatGPT the same question multiple times provides different results. ...
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Things you can do with a debugger but not with print debugging
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, anecdotally, I have seen way more people using Print/log.Debug
compared t...
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Will Amazon S3 Vectors Kill Vector Databases—or Save Them? - Zilliz blog
Will Amazon S3 Vectors Kill Vector Databases—or Save Them?
Not too long ago, AWS dropped something new: S3 Vectors. It’s their first attempt at a vector storage solution, letting you store and query vector embeddings for semantic search right inside Amazon S3.
At a glance, it looks like a lightweigh...
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https://stlab.cc/tips/about-mvc.html
How did MVC get so F’ed up?
Smalltalk MVC is defined in Design Pattern as:
MVC Consists of three kinds of objects. The Model is the application object, the View is its screen presentation, and the Controller defines the way the user interface reacts to user input.1
However this definition has been a...
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Development Speed Is Not a Bottleneck
Development Speed Is Not a Bottleneck
Big part of discussion around vibe coding revolves around pace of development while it was never a key constraint in succeeding with a product.
"You are wrong, Pawel. You can vibe code a successful product without any technical skills. Here's one example."
I lik...
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How big are our embeddings now and why?
How big are our embeddings now and why?
#embeddings #openai #anthropic #huggingface #dimensionality
A few years ago, I wrote a paper on embeddings. At the time, I wrote that 200-300 dimension embeddings were fairly common in industry, and that adding more dimensions during training would create dimi...
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An Attacker’s Blunder Gave Us a Look Into Their Operations | Huntress
Here at Huntress, we love exposing adversary tradecraft, and we also love when threat actors make blunders. So imagine our delight when a threat actor installed Huntress onto their operating machine—after finding us via one of our advertising campaigns and starting a trial— giving us a sprawling ins...
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Vibe Coding Through the Berghain Challenge - Log - nibzard
Vibe Coding Through the Berghain Challenge
TL;DR >> Listen Labs' viral billboard puzzle led to a nightclub bouncer optimization challenge. My AI partner Claude and I spent a day building RBCR (Re-solving Bid-Price with Confidence Reserves), achieving 781 rejections among >30k competitors through dua...
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https://bobdahacker.com/blog/rbi-hacked-drive-thrus/
The Setup
Picture this: Restaurant Brands International (RBI) – the corporate overlords behind Burger King, Tim Hortons, and Popeyes – control over 30,000 locations worldwide. That's a lot of chicken sandwiches, maple syrup, and flame-broiled beef.
What they also control is something called the "ass...
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The Bitter Lesson is Misunderstood
The Bitter Lesson is Misunderstood
Together, the Bitter Lesson and Scaling Laws reveal that the god of Compute we worship is yoked to an even greater one — the god of Data.
tl;dr: For years, we've been reading the Bitter Lesson backwards. It wasn't about compute — it was about data. Here's the part ...
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Evaluating LLMs for my personal use case
Evaluating LLMs for my personal use case
Summary
It’s great that AI can win maths Olympiads, but that’s not what I’m doing. I mostly ask basic Rust, Python, Linux and life questions. So I did my own evaluation.
I gathered 130 real prompts from my bash history (I use command line tool llm).
I had Qwe...
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