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<div style="display: none; max-height: 0px; overflow: hidden;">OpenAI's GPT-5.3-Codex-Spark is a real-time coding model optimized for low-latency hardware. This model delivers over 1,000 tokens per second </div>
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<h1><strong> TLDR Dev <span id="date">2026-02-13</span></strong></h1>
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<strong>Developers know accessibility is good engineering. So what's holding teams back? (Sponsor)</strong>
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95% of developers say digital accessibility improves UX. So why are they still scrambling to fix accessibility issues<strong> </strong>after launch? <p></p><p><a class="Hyperlink SCXW119210996 BCX8" href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.levelaccess.com%2Fresources%2Fhow-development-leaders-are-accelerating-accessibility-in-2026%2F%3Futm_source=TLDRdev%26utm_medium=syndication%26utm_campaign=fy26q1tldrdevpri/3/0100019c56e74f40-c7db0d68-b94f-449c-ad68-32edacce715c-000000/LKqhwBkY-nkU6TeJD4qY6bMWjYB_4eyAl_EWBpf5PLE=444" rel="noreferrer noopener" target="_blank"><span>Level Access</span></a> just released their <a class="Hyperlink SCXW119210996 BCX8" href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.levelaccess.com%2Fresources%2Fhow-development-leaders-are-accelerating-accessibility-in-2026%2F%3Futm_source=TLDRdev%26utm_medium=syndication%26utm_campaign=fy26q1tldrdevpri/4/0100019c56e74f40-c7db0d68-b94f-449c-ad68-32edacce715c-000000/dAX201N6YDBtWv6XqcY-M5bwJDf3r1BNLJKHjW3F20s=444" rel="noreferrer noopener" target="_blank"><span>State of Digital Accessibility Report</span></a>. Read it to learn why: </p>
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<li>93% of developers say<strong> </strong>accessibility is a competitive edge </li>
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<li>42% rank insufficient time to address accessibility issues<strong> </strong>among their top 3 challenges </li>
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<li>39% say using AI to scale accessibility is a top priority </li>
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<strong>I Improved 15 LLMs at Coding in One Afternoon. Only the Harness Changed (10 minute read)</strong>
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The performance of LLMs in coding is limited by the "harness,” the tools and interface managing their interactions, rather than solely by the models themselves. "Hashline” is an editing tool that tags lines of code with content hashes, allowing LLMs to make precise edits by referencing these tags instead of relying on perfect content recall. Benchmarking of 16 LLMs showed that Hashline consistently outperformed traditional "Patch" and "Replace" formats.
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<strong>The Death of Traditional Testing: Agentic Development Broke a 50-Year-Old Field, JiTTesting can revive it (4 minute read)</strong>
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According to Meta, agentic development has broken traditional testing. Static test suites can't keep up when code is being written and shipped this fast, and the false positive and maintenance burden is crushing. Their answer is “Catching JiTTests” (Just-in-Time Tests): LLMs automatically generate bespoke tests the moment a PR lands by inferring the code change's intent, simulating possible faults via mutation testing, and only surfacing signals when something actually breaks.
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<strong>Lines of Code Are Back (And It's Worse Than Before) (15 minute read)</strong>
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The software industry previously held a strong consensus that Lines of Code (LOC) is a terrible metric for measuring developer productivity due to its gameability and focus on volume. However, AI has resurrected LOC, with tech CEOs now touting the percentage of AI-generated code as a key achievement. AI makes this problem worse by making LOC infinitely gameable at virtually no cost, leading to lower quality code overall.
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<strong>Antfarm Patterns: Orchestrating Specialized Agent Teams for Compound Engineering (8 minute read)</strong>
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Compound engineering is an AI-driven software development methodology where each task, bug fix, or pull request feeds into a learning loop to help AI improve over time. While compound engineering promises productivity gains, single AI agents often fail due to context degradation and lack of specialization. Antfarm addresses this by orchestrating teams of specialized AI agents, like planners, developers, and verifiers, each with fresh context and clear handoffs.
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<strong>AI code review with comments you'll actually implement (Sponsor)</strong>
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<p><em>“Unblocked has reversed my AI fatigue completely. The level of precision is wild.”</em> - Senior developer, Clio</p>
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<strong>Introducing GPT-5.3-Codex-Spark (7 minute read)</strong>
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OpenAI has introduced GPT-5.3-Codex-Spark, an ultra-fast, real-time coding model optimized for low-latency hardware. This model delivers over 1,000 tokens per second for immediate feedback during coding tasks like targeted edits or refining logic.
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<strong>Announcing TypeScript 6.0 Beta (31 minute read)</strong>
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TypeScript 6.0 Beta has been released. This release has improved type inference for "this"-less functions, support for `#/` subpath imports, `es2025` target and lib options, and new types for Temporal and "upsert" methods.
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<strong>Omnara (Website)</strong>
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Omnara provides full mobile and cross-device control over AI coding sessions, allowing for continuous development from anywhere with features like voice interaction and multi-agent orchestration.
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<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
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Cloudflare's Markdown for Agents addresses the inefficiency of AI crawlers processing unstructured HTML web content. This new feature automatically converts HTML pages to markdown in real-time when AI agents request it via a specific `Accept` header. By providing structured markdown directly from the source, it reduces token usage for AI systems (up to 80% as shown) that query web content.
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<strong>An AI Agent Published a Hit Piece on Me (17 minute read)</strong>
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Scott Shambaugh, a volunteer maintainer for the Python library matplotlib, rejected a code contribution from an AI agent named MJ Rathbun, following a project policy against low-quality, autonomously generated code. In response, the AI agent autonomously published a "hit piece" online, disparaging Shambaugh's character, fabricating a narrative of prejudice and ego, and leveraging his public information to damage his reputation.
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As the first engineer on TLDR's new Applied AI team, you'll build AI agents and composable Claude Skills to let non-technical teammates create their own AI workflows. <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fjobs.ashbyhq.com%2Ftldr.tech%2F3b21aaf8-dea5-4127-be71-602d30e5001e/1/0100019c56e74f40-c7db0d68-b94f-449c-ad68-32edacce715c-000000/vkwC2MbDYXgI8R6CHofgTgEBD0TAMJoXr8ehg-gG39U=444" rel="noopener noreferrer" target="_blank"><span>Learn more</span></a>.
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<strong>Pebble Emulator (Website)</strong>
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The Pebble Emulator runs entirely in your browser, using WebAssembly-compiled QEMU to emulate Pebble ARM hardware and boot real PebbleOS firmware.
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<strong>65 lines of Markdown - a Claude Code sensation (3 minute read)</strong>
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Prompted by an AI workshop, the author created and published a VS Code/Cursor extension based on Andrej Karpathy's AI code guidelines, finding publishing it harder than creating the extension itself.
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<strong>Gemini 3 Deep Think: Advancing science, research and engineering (5 minute read)</strong>
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Google has released an upgraded Gemini 3 Deep Think, a specialized reasoning mode designed to solve complex challenges across science, research, and engineering.
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<strong>Rari (GitHub Repo)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Rari is a high-performance React Server Components framework powered by a Rust runtime that outperforms Next.js with 9.1x faster response times and 46.5x higher throughput.
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