Bug blindness (34 minute read)
Many individuals experience "bug blindness," a phenomenon where they fail to notice software issues or flaws that are apparent to others. This blindness can lead to the perception that software is functioning well, even when it is flawed. To combat this, it's good for devs and users alike to actively seek out and acknowledge these issues, creating a culture of quality awareness to prevent low-quality releases.
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Domain-Driven Agents (11 minute read)
Using LLMs in software engineering yields productivity benefits, especially in greenfield projects, but struggles arise when applying them to legacy systems burdened by technical debt and conflicting terminologies. A strategy that can overcome this is clear domain-driven design, along with a structured approach to managing code changes and communication between various project components.
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What my dad taught me about AI coding in the 90s (5 minute read)
The author reflects on the parallels between playing blindfold chess and programming with AI, emphasizing that the ability to manage complex relationships and maintain focus is essential in both activities. As AI tools evolve, programmers who can effectively understand and leverage these technologies without losing control will have a substantial advantage, though measuring their effectiveness may become increasingly challenging.
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TurboKV (GitHub Repo)
TurboKV is an asynchronous embedded key-value database written in Rust, featuring atomic operations, configurable durability options, and efficient range scans.
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vgpu (GitHub Repo)
vgpu is a TypeScript library designed for WebGPU, offering typed shader imports, a compact GPU-first API, and compatibility across various environments including browsers and headless Node.js.
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I accidentally turned LLM memory into program analysis (19 minute read)
Recent experimentation with LLM agents for vulnerability research showed that traditional memory systems struggle to maintain accurate knowledge over time, resulting in outdated or incorrect conclusions. This led to the development of Lemmalog, a Datalog-based system that effectively maintains and updates factual knowledge, allowing for incremental reasoning and improved accuracy in complex analyses.
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Understanding ChatGPT Work (10 minute read)
ChatGPT Work is a subscription-only tool designed for non-technical users who want advanced capabilities beyond standard ChatGPT, such as code execution with internet access, a full headless Chrome browser, and persistent file storage. It also supports running parallel sub-agent workflows and maintaining shared, persistent files across sessions.
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Consumer Inference Systems (4 minute read)
Benchmarking small AI models, specifically those fitting within 8 GB of memory after quantization, has been conducted on mobile devices to evaluate their inference performance and model intelligence.
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