Survival Analysis and the Cox Proportional Hazards Model: A Beginner-Friendly Guide
From Kaplan-Meier curves to hazard ratios with runnable Python Code throughout
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Bug Detection Blind Spots in AI Coding Harnesses (GStack and Beyond)
28 debugging experiments reveal that AI struggles less with complexity than with missing information.
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Why We Fine-Tuned SigLip (And Why That’s Not Always the Right Call)
LoRA fine-tuning solved our under-labeling problem. Whether it makes sense for you depends on three questions.
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Retrieve One Row from a Table, Not the Whole Table: Row-Level Chunks for RAG
Enterprise Document Intelligence [Vol.1 #7sexies] - The unit of retrieval doesn’t have to be a page or a paragraph. When the corpus carries tables, each body row with its column headers is a chunk in its own right, and it’s often the one row the reader asked about
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The Types of Dimensions in a Star Schema, and How to Use Them
Dimensions are one of the two main object types in dimensional modelling. But what are the different types of dimensions? And how can you use them?
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Bayesian Guardrails for AI Decisions: Measuring Uncertainty Before Automating Decisions
AI systems should not automate a decision simply because they can provide a prediction. A decision system should consider how uncertain the prediction is and defer if a mistake would be costly.
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How Benders Decomposition Works, Part II: Feasibility Cuts
Learning about Farkas' lemma and how it can inform Benders decomposition to learn from infeasibility, applied to the capacitated facility location problem.
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PagedAttention vs. RadixAttention: Optimizing LLM KV Cache Management
Modern LLMs rely on quantization, pruning, distillation, and faster attention kernels, but production performance often depends most on KV cache management. As context windows grow, the cache consumes significant GPU memory, limiting concurrency, throughput, and latency. Two breakthroughs transforme...
How to Build a Robust RAG System with Minimal Resources
In this article, you will learn how to design, assemble, and tune a retrieval-augmented generation system that runs entirely on a standard laptop, without cloud...
How to Scale an Integration Pipeline Without Breaking Correctness
A production account of scaling an enterprise integration pipeline from 500 to 8,000 events per second, and the two correctness guarantees the throughput work was never allowed to trade away.
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Kimi K3’s 1M Token Context Window vs. RAG: Cost, Latency and Answer Quality
A controlled comparison of a top-5 RAG pipeline and a full 127,000 token prompt on the same 12 questions, same system prompt and same model. Graded blind on correctness, completeness and grounding.
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People can accept tradeoffs when they see value — but if they don’t, what happens?
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How to Remove Claude Watermarks from Text, Code, and Files
Claude now marks AI-generated content. But it does not mark everything the same way. Anthropic currently uses embedded watermarks for text and signed C2PA provenance metadata for supported files. Code sits somewhere in between: it is still text, but its structure gives the watermark fewer places to ...
Ever wondered how ChatGPT, Gemini, and other chat interfaces generate PDFs, PowerPoints, and more when all they have under the hood is an LLM? The trick isn’t a smarter model. It’s something simpler: skills which are instructions an agent loads only when needed. Next, let’s explore how skills work u...
Webwright: Why AI Web Agents Should Write Code, Not Click
For years, web agents have worked one click at a time—and often fallen apart on long tasks. Microsoft Research’s Webwright makes a different bet: give the model a terminal and let it write the program instead. On long-horizon tasks, the same GPT-5.4 model jumps from 33.5% to 60.1% success. And inste...
Three Generations of Autoscaling — And Why Agentic Traffic Breaks All of Them
How autonomous agents broke two decades of capacity planning — and what to build instead
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How to Perform Effective Project Management with AI
Become a more productive software engineer with LLMs
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Running SQL Concurrently Across Three Remote DuckDB Servers with Quack
A small experiment in remote SQL execution
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