<h2>Must know</h2>
<ul>
<li><strong>Microsoft’s February patch Tuesday addresses zero-days and AI vulnerabilities</strong>: Microsoft released its February 2026 Patch Tuesday, fixing 59 vulnerabilities, including six actively exploited zero-days. Critically, the update also addresses remote code execution flaws in GitHub Copilot and multiple IDEs (VS Code, Visual Studio, JetBrains) stemming from AI prompt injection vulnerabilities. These AI-related flaws pose significant risks to developers due to potential access to sensitive credentials and infrastructure keys, as reported by Krebs on Security. <a href="https://app.daily.dev/feed-by-ids?id=zk4Rm0PBv&amp;id=BOPPPXswR&amp;id=i2YjgAdJA&amp;id=oUCth2teJ&amp;id=uxvhPzT2r&amp;id=zFYu8Wov8" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI agents introduce new security risks and governance challenges</strong>: The rapid deployment of autonomous AI agents, expected in 40% of enterprise applications by 2026, is creating significant security vulnerabilities and governance gaps. Cisco introduced AI BOM (AI Bill of Materials) to inventory AI assets, while GitGuardian raised $50M to address non-human identity (NHI) and AI agent security. Experts warn that competitive pressures are leading to rapid deployment without adequate safety frameworks, highlighting risks like prompt injection and supply chain attacks on AI agent ‘skills’. <a href="https://app.daily.dev/feed-by-ids?id=0rQwEgnbB&amp;id=QRBfTNO1G&amp;id=ZVqULJLz3&amp;id=gUwIhEnZO&amp;id=l8YCDT7qf&amp;id=mmQEWnSC4&amp;id=1X0JlaofS&amp;id=48BFhb5Uw&amp;id=73Kh0XGFs&amp;id=8QVLeUBMy" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Open-source GLM-5 model claims parity with proprietary AI for coding</strong>: <a href="http://Z.ai" target="_blank" rel="noopener nofollow">Z.ai</a> released GLM-5, a new open-source large language model under an MIT License, claiming to match proprietary models like Claude Opus 4.6 and GPT 5.3 Codex for long-horizon coding tasks. With 744B parameters and trained on 28.5T tokens, it integrates DeepSeek Sparse Attention and a novel asynchronous RL infrastructure. Modal is offering free access via an OpenAI-compatible API endpoint until the end of April. <a href="https://app.daily.dev/posts/bOspGaOnW" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Good to know</h2>
<ul>
<li><strong>React Native 0.84 defaults to Hermes V1 for performance</strong>: React Native 0.84 now uses Hermes V1 as the default JavaScript engine, bringing automatic performance boosts, reduced memory usage, and precompiled iOS binaries for faster builds, alongside ESLint v9 Flat Config support and enhanced accessibility. <a href="https://app.daily.dev/posts/oBV7ttAiR" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Vercel flags enters public beta for feature management</strong>: Vercel Flags is now in public beta, offering native feature flag management directly in the Vercel Dashboard with targeting rules, user segments, and SDK support for Next.js and SvelteKit. <a href="https://app.daily.dev/posts/IfJOyXyyM" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>ESLint 10.0.0 removes .eslintrc support</strong>: ESLint 10.0.0 will remove support for <code>.eslintrc</code> configuration files, making flat config the sole option and improving config resolution for monorepos, with no opt-out available. <a href="https://app.daily.dev/posts/eQ0JUyyzE" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>WebMCP standard proposed for AI agent interaction in Chrome</strong>: Chrome is previewing WebMCP, a proposed web standard that allows websites to expose structured tools directly to in-browser AI agents, replacing brittle DOM scraping with explicit function calls. <a href="https://app.daily.dev/feed-by-ids?id=Ib422mkez&amp;id=NpNZ22j1b&amp;id=R0k8YNGTx" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>FastAPI cloud simplifies deployment with single command</strong>: FastAPI Cloud, backed by Sequoia Capital, simplifies FastAPI application deployment with a single <code>fastapi deploy</code> command, handling HTTPS, auto-scaling, and infrastructure complexity on Kubernetes. <a href="https://app.daily.dev/feed-by-ids?id=5Mzv43k5F&amp;id=5atbRAfWV&amp;id=6Rrig1lfL&amp;id=7B5EDflI8&amp;id=N2p8QaBAl" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Rust web framework Leptos created by self-taught developer</strong>: Greg Johnston, an Episcopal priest and self-taught programmer, created the popular Leptos Rust web framework due to dissatisfaction with existing options, gaining over 19,000 GitHub stars. <a href="https://app.daily.dev/feed-by-ids?id=cCyxGk3Tq&amp;id=gkCUaPXMf&amp;id=a685B7Chs" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>OpenAI’s ChatGPT Atlas browser uses separate Chromium process</strong>: OpenAI’s ChatGPT Atlas browser uses a unique architecture that runs Chromium as a separate process, enabling instant startup, responsiveness with hundreds of tabs, and rich SwiftUI animations. <a href="https://app.daily.dev/posts/TsFQIm4Vj" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Bullshit police</h2>
<ul>
<li><strong>AI will eliminate 50% of white-collar jobs in 1-5 years, apparently</strong>: According to some unnamed ‘industry leaders,’ advanced AI models like GPT-5.3 Codex and Claude Opus 4.6 are so good at ‘judgment-like decision-making’ that they’ll eliminate 50% of entry-level white-collar jobs in law, finance, medicine, and software engineering within 1-5 years. So, better start ‘experimenting daily’ with paid AI tools, because the ‘window for competitive advantage’ is closing. Or, you know, maybe it’s just another round of AI hype designed to sell more subscriptions. <a href="https://app.daily.dev/feed-by-ids?id=jQIyW7C3o&amp;id=lGyFb7XTB&amp;id=waJpUtc5V" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI-powered testing is the death of traditional testing, again</strong>: Datadog and GitHub Copilot are pushing new AI-powered testing tools, with one article boldly proclaiming ‘The Death of Traditional Testing.’ Apparently, agentic development has ‘broken traditional testing paradigms,’ and now LLM-generated JiTTests will ‘auto-heal’ themselves. Because who needs human testers or stable code when you have AI that can just make up tests and fix them on the fly? What could possibly go wrong? <a href="https://app.daily.dev/feed-by-ids?id=gZJqHPom7&amp;id=j254S16VC&amp;id=sJ5P2kSW8" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Recruitment is ‘hunger games’ driven by AI</strong>: An opinion piece claims technical recruitment is ‘fundamentally broken’ and a ‘race to the bottom’ driven by AI, comparing it to the Hunger Games. While the job market can be tough, blaming AI for systemic issues like stress-inducing processes and credentialism seems a bit dramatic. Maybe the problem isn’t AI, but the same old human-driven hiring practices with a new coat of tech paint. <a href="https://app.daily.dev/posts/LD0ov49gc" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
