Drawing Text on Screen - What Could Be Simpler? (5 minute read) This dev rewrote a text-based file manager in Go as a learning exercise, focusing on input and output handling. They used C# and explored different rendering methods, including console methods, GDI, DirectX, and Vulkan. They found that direct text drawing with DirectX performed the best for normal use, better than texture-based caching despite the latter's advantage in extreme stress test scenarios. However, efficient text rendering is more complex than it initially appears. | We ran over 600 image generations to compare AI models (12 minute read) A long-time developer of iOS photo apps compared the performance of OpenAI, Gemini, and Seedream AI models on various image editing tasks. They ran over 600 image generations using naive prompts and representative photos to assess the trade-offs between quality, prompt complexity, and pricing for each model. OpenAI was the best at transformative and creative edits, and Gemini was better for realistic edits and detail preservation, while Seedream was a good middle ground. | Using Atomic State to Improve React Performance in Deeply Nested Component Trees (8 minute read) Harbor solved React performance issues in its clinical trial data capture application by switching from vanilla React Context to atomic state management with Jotai. The traditional Context approach caused entire component trees to rerender when any single node's state changed, which became expensive in their deeply nested "event → form → field group → field" hierarchy. By using Jotai's atomic state system, it was able to create granular state atoms that only trigger rerenders in components that actually depend on the changed data. | | Collaboration sucks (7 minute read) Excessive collaboration slows progress in companies. Instead, the company should have a "driver" mentality where individuals take ownership and minimize unnecessary feedback. This means defaulting to shipping, seeking specific input, and prioritizing post-shipment feedback. | Vertical Integration is the Only Thing That Matters (10 minute read) Vertical integration, which means tight integration between different tools in a development stack, is necessary for developer productivity. Examples of such vertically integrated workflows include automated build artifact sharing and interactive debugging across languages. While building a vertically integrated development environment as a product is challenging, the glue code connecting different tools is where the real value lies. | | Tusk Drift (GitHub Repo) The Tusk Drift SDK enables deterministic API testing by recording and replaying API calls. It captures real-world API interactions and uses the Tusk CLI to replay them as tests, identifying regressions by intercepting outbound requests with recorded data. The SDK uses Node.js and supports various packages and versions, including HTTP/HTTPS, GRPC, PG, Firestore, and more. | ADK for Go (GitHub Repo) The Agent Development Kit (ADK) is an open-source, code-first Go toolkit designed for building, evaluating, and deploying AI agents. It applies software development principles to AI agent creation and makes the orchestration of agent workflows easier. It is model and deployment-agnostic, and has a tool ecosystem with modular multi-agent systems. | Perspective (Website) Perspective is an interactive analytics and data visualization component ideal for large, streaming datasets. It provides a fast, memory-efficient query engine written in C++ and a framework-agnostic User Interface as a Custom Element. Perspective can be used in the browser via WebAssembly or virtually via a WebSocket server using Python/Node. | | A catalog of side effects (18 minute read) This blog post discusses different approaches compilers use to track the effects of Intermediate Representation (IR) instructions, focusing on how these effects influence optimizations like instruction re-ordering and dead code elimination. There are two main representation methods: bitsets, as used in Cinder and other compilers like HHVM and ART, and heap range lists, as implemented in JavaScriptCore. Bitsets are compact and precise, while range lists offer more long-term flexibility. | | | Love TLDR? Tell your friends and get rewards! | | Share your referral link below with friends to get free TLDR swag! | | | | Track your referrals here. | | Want to advertise in TLDR? 📰 If your company is interested in reaching an audience of web developers and engineering decision makers, you may want to advertise with us. Want to work at TLDR? 💼 Apply here or send a friend's resume to jobs@tldr.tech and get $1k if we hire them! If you have any comments or feedback, just respond to this email! Thanks for reading, Priyam Mohanty, Jenny Xu & Ceora Ford | | | |
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