<h2>Must know</h2>
<ul>
<li><strong>Microsoft patch tuesday addresses zero-days and AI vulnerabilities</strong>: Microsoft’s February 2026 Patch Tuesday fixed 59 vulnerabilities, including six actively exploited zero-days. Critically, it also patched 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" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI agents are rapidly deploying but security lags</strong>: AI agents are expected to be in 40% of enterprise applications by 2026, promising 30-50% efficiency gains, but security frameworks are struggling to keep up. GitGuardian just raised $50M to address the ‘Non-Human Identities’ crisis and AI agent security gaps, highlighting the urgent need for better governance and protection against vulnerabilities like prompt injection and supply chain attacks on agent ‘skills.’ <a href="https://app.daily.dev/feed-by-ids?id=0rQwEgnbB&amp;id=ZVqULJLz3&amp;id=gUwIhEnZO&amp;id=l8YCDT7qf&amp;id=mmQEWnSC4&amp;id=UhlBeqTGk&amp;id=BOPPPXswR&amp;id=i2YjgAdJA&amp;id=oUCth2teJ&amp;id=uxvhPzT2r" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Open-source GLM-5 model claims parity with proprietary AI</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 it matches 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 novel asynchronous RL infrastructure and is available for free access via Modal, potentially shaking up the competitive AI model landscape. <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>Rust ecosystem survey shows growth and AI adoption</strong>: JetBrains’ 2025 survey indicates Rust’s continued growth, with 30% newcomers and 26% professional users, primarily for systems, CLI, and backend development, and 78% of Rust developers now use AI coding assistants. <a href="https://app.daily.dev/posts/LYg98DMrO" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>ClickHouse 26.1 brings performance and feature upgrades</strong>: ClickHouse 26.1 introduces 25 new features, 43 performance optimizations, and 176 bug fixes, including end-to-end deduplication, new indexing syntax, faster DISTINCT operations, and an open-source Kubernetes operator. <a href="https://app.daily.dev/posts/j8QVUmmhl" 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 with targeting rules, user segments, and environment controls, supporting Next.js, SvelteKit, and the OpenFeature standard. <a href="https://app.daily.dev/posts/IfJOyXyyM" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Kubernetes is dominant for AI, but culture is the new bottleneck</strong>: Kubernetes is used in 82% of production AI deployments, but cultural barriers like siloed teams and lack of cross-functional collaboration are now the biggest obstacles to scaling AI initiatives, according to a CNCF report. <a href="https://app.daily.dev/posts/MrQz3g4zd" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Erlang/OTP 29.0-rc1 released with new features</strong>: Erlang/OTP 29.0-rc1 introduces native records, multi-valued comprehensions, a new <code>is_integer/3</code> guard BIF, and defaults to quantum-resistant key exchange for SSH, while removing 32-bit Windows builds. <a href="https://app.daily.dev/posts/fTCktIrzF" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Databricks launches lakeflow for unified data engineering</strong>: Databricks announced Lakeflow, a unified data engineering solution for ingestion, transformation, orchestration, and governance on Azure Databricks, featuring point-and-click ingestion, declarative pipelines, and AI-powered debugging. <a href="https://app.daily.dev/posts/DckO36Vaq" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>OpenAI details chatgpt atlas browser architecture</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, prioritizing stability and faster builds over memory usage. <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-powered testing tools promise to kill traditional testing</strong>: Datadog, GitHub Copilot, and JiTTests are all pushing new AI-powered testing tools, with one article boldly proclaiming ‘The Death of Traditional Testing.’ Apparently, LLMs can now generate tests, infer code change intent, and ‘auto-heal’ themselves. Because who needs human QA when you have an AI that can magically adapt to your ever-changing UI? 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>AI will eliminate 50% of white-collar jobs in 1-5 years</strong>: An unnamed ‘industry leader’ is predicting that advanced AI models like GPT-5.3 Codex and Claude Opus 4.6 will eliminate 50% of entry-level white-collar jobs across law, finance, medicine, and software engineering within 1-5 years. So, if you’re not ‘experimenting daily’ with paid AI tools, you’re apparently missing a ‘closing window for competitive advantage.’ Sounds like a great way to sell more subscriptions, doesn’t it? <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>Claude agents build the ‘worst C compiler ever’</strong>: Anthropic spent $20,000 and 16 Claude AI agents to build a C compiler, resulting in a 100,000-line codebase that struggles with basic compilation and frequently breaks existing functionality. This ‘worst C compiler ever’ apparently proves that even with unlimited budget and AI agents, some problems still require actual human intelligence. Who knew compiler construction was harder than generating marketing copy? <a href="https://app.daily.dev/posts/D7CXYuXPP" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
