Not so "mini"-dumps: How we found missing crashes on SteamOS (8 minute read)
Sentry improved its game engine SDKs to capture crash reports from Windows games running on Linux via Wine/Proton, addressing a problem where crash reports were missing from Steam Deck. The issue came from Wine's Thread Environment Block (TEB) implementation, which caused Crashpad to capture excessively large stack regions in minidumps exceeding Sentry's size limit. Sentry's solution involved switching Crashpad to use the stack pointer (SP) instead of the TEB for stack capture, which accurately reflects used memory. |
How to Manage Context in AI Coding Workflows (15 minute read)
Successful AI coding requires context engineering over prompt engineering, which means building systems that reliably provide AI with the right information automatically. The key is co-locating mandatory context (like `CLAUDE.md`, `README.md`, or system design docs) directly in your repository while centralizing access to distributed info through a single tool. |
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Why startups choose React (and when you shouldn't) (8 minute read)
React dominates startup funding, capturing 88.6% of the $2.85 billion raised by software startups in 2025, despite the availability of alternative frameworks like Vue, Angular, and Svelte. While React's massive ecosystem provides significant advantages, with over 1 million active projects compared to competitors' 100K-128K, approximately 85% of projects across all framework ecosystems end up abandoned on GitHub. Interestingly, smaller frameworks like Svelte show better project survival rates (36.1% vs React's 20.7% for quality projects). |
Why Your Best Engineers Are Interviewing Elsewhere (23 minute read)
High engineering turnover stems from executives being out of touch with on-the-ground realities due to hierarchical information filtering. This filtering prevents executives from addressing engineer concerns like overruled technical judgments, accumulating technical debt, and meaningless work, leading to disengagement and costly replacements. To combat this, it's best to have regular skip-level conversations between executives and engineers to bypass filtering and act on engineer feedback, which is cheaper than the costs associated with high turnover. |
The Learning Loop and LLMs (8 minute read)
Software development is fundamentally a learning process that cannot be automated away, even with advanced LLMs. While LLMs can be helpful for brainstorming and reducing initial setup friction, they cannot replace the essential learning loop of observing, experimenting, and applying knowledge that developers must go through to build real expertise. True learning requires hands-on experience with failures and discoveries that AI cannot provide. |
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React Native Godot (GitHub Repo)
React Native Godot allows embedding the Godot game engine into React Native applications on both Android and iOS, running the engine on a separate thread for optimal performance. It provides full access to the Godot API from TypeScript/JavaScript. The library supports starting, stopping, pausing, and restarting the Godot Engine, even allowing reconfiguration and different Godot app loading upon restarting. |
Dillo (GitHub Repo)
Dillo is a multi-platform graphical web browser with a focus on security and privacy. It's built with the FLTK 1.3 GUI toolkit. The repository contains the original code with some minor patches. |
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Octoverse: A new developer joins GitHub every second as AI leads TypeScript to #1 (8 minute read)
GitHub experienced record growth in 2025, adding over 36 million new developers (more than one per second on average) to reach 180+ million total developers, largely driven by the release of GitHub Copilot Free in late 2024. For the first time in over a decade, TypeScript overtook both Python and JavaScript to become the most-used language on GitHub, showing how AI-assisted development is influencing developers' tool choices toward more reliable, typed languages. |
Learning from Failure to Tackle Extremely Hard Problems (10 minute read)
BaNEL (Bayesian Negative Evidence Learning) is a novel algorithm designed to improve machine learning in scenarios where positive rewards are extremely rare and reward evaluation is costly. It works by learning a generative model of failures, allowing it to avoid repeating past mistakes and effectively explore the solution space using only negative reward samples. Experiments on adversarial attacks and language model reasoning show BaNEL's ability to improve success rates compared to existing methods, especially when additional computation is available. |
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The AI ick (15 minute read)
There is discomfort and devaluation associated with AI-generated content, especially in art and marketing, partly due to the societal implications of AI's encroachment on human creativity. |
Please Implement This Simple SLO (5 minute read)
A new employee is assigned a seemingly simple SLO implementation task for the "Foo" service, which quickly spirals into a complex and frustrating endeavor involving miscalculations, unexpected technical challenges, shifting requirements, and ultimately leads to his termination despite his attempts to meet the ever-changing and often contradictory demands of his manager. |
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