<h2>Must know</h2>
<ul>
<li><strong>AI security and privacy concerns escalate</strong>: A staggering 175,108 Ollama AI hosts are exposed online without safety guardrails, enabling potential resource hijacking and remote attacks. SpaceX updated Starlink’s privacy policy to use customer data for AI training, coinciding with talks to merge with xAI. Additionally, a critical 1-click RCE vulnerability was found in OpenClaw, an AI assistant used by over 100,000 developers, highlighting the inherent security risks in rapidly adopted AI tools. <a href="https://app.daily.dev/feed-by-ids?id=2SdHHyeRJ&amp;id=YUSdAM3D6&amp;id=d76FYhLFT&amp;id=iEIaVGrhd&amp;id=yXHHUa4yo&amp;id=4nlzVZMEL&amp;id=fuL6WfKHt&amp;id=oAoGgXAAn&amp;id=zgJdriYuf" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Cloud native ecosystem sees major shifts</strong>: The cloud-native ecosystem is evolving rapidly, with Ingress NGINX and Kubernetes Dashboard projects retiring by March 2026. On the flip side, a new open-source Kubernetes dashboard called Radar has emerged, built as a single Go binary with an embedded React frontend, offering real-time cluster visibility without cloud logins or agents. This aims to address limitations of existing tools like Lens and k9s. <a href="https://app.daily.dev/feed-by-ids?id=EdFbm39PB&amp;id=DiEunA7dc&amp;id=a3wJg58hN" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI code generation: faster but messier</strong>: AI code generation can speed up development by 55%, but it shifts the bottleneck to verification, increasing review times by 91% in high-AI-usage teams. Microsoft, for example, is seeing more emergency patches as 30% of its code is AI-generated. This leads to issues like AI optimizing code without system context, generating non-validating tests, and eroding architectural resilience, according to multiple reports. <a href="https://app.daily.dev/feed-by-ids?id=CUMsxmpoK&amp;id=H1aWwdchu&amp;id=KYToiOjQs&amp;id=TCb4dVj23&amp;id=k9rFokMvG" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Good to know</h2>
<ul>
<li><strong>NVIDIA NVFP4 quantization for LLMs released by Red Hat</strong>: Red Hat has released NVFP4-quantized versions of popular LLMs, leveraging NVIDIA’s 4-bit floating-point format for efficient deployment with near-baseline accuracy, especially effective for frontier-scale models. <a href="https://app.daily.dev/posts/OPe22PWoI" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Wix introduces xEngineer model for AI-driven development</strong>: Wix is integrating AI into engineering roles with its ‘xEngineer’ model, aiming for engineers to take broader ownership across the development lifecycle, supported by AI tools to reduce cognitive load and focus on judgment. <a href="https://app.daily.dev/posts/1ESLU5xBs" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>MLflow integrates new evaluation metrics for LLMs and RAG systems</strong>: MLflow 3.9.0 now includes over 50 evaluation metrics from DeepEval, RAGAS, and Arize Phoenix, allowing developers to simultaneously evaluate LLM agents and RAG systems and compare results in the MLflow UI. <a href="https://app.daily.dev/posts/zVcgznCs0" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>PostgreSQL backup tool Barman 3.17.0 released</strong>: Barman, an open-source PostgreSQL backup and recovery tool, released version 3.17.0, adding operational flexibility for disabled servers, S3 Object Lock support, and custom SSH ports for remote restores. <a href="https://app.daily.dev/posts/qB30Z4Jdj" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>DataDog releases pg_tracing for PostgreSQL distributed tracing</strong>: DataDog developed <code>pg_tracing</code>, a PostgreSQL extension for server-side distributed tracing that generates spans for queries, functions, and transactions, accessible via views or OTLP JSON. <a href="https://app.daily.dev/posts/Xfr0u4GSj" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>WebAssembly celebrates 10 years, expands beyond browser</strong>: WebAssembly (WASM) marked its 10th anniversary, evolving into a foundational technology for edge platforms, serverless runtimes, and embedded systems, offering deterministic, compact, and portable modules for various computing environments. <a href="https://app.daily.dev/posts/XjOBMuNCm" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>MongoDB formally verifies distributed transaction protocol</strong>: MongoDB’s team formally verified its distributed transaction protocol using compositional TLA+ specifications, ensuring ACID guarantees and snapshot isolation across sharded clusters, and introduced a ‘permissiveness metric’ for performance analysis. <a href="https://app.daily.dev/posts/KMiaK5RJr" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Bullshit police</h2>
<ul>
<li><strong>Native PHP promises free mobile development with AI magic</strong>: Native PHP just dropped some ‘major updates’ making mobile development ‘completely free and open source,’ complete with AI-powered Mimi that can ‘rapidly generate complete Laravel mobile applications’ from natural language. Because, clearly, the only thing holding back mobile development was the lack of a magic AI wand and the prohibitive cost of… well, nothing, since PHP was already free. What could go wrong with an AI generating your entire app? <a href="https://app.daily.dev/posts/bRf9BXT9O" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI delegation shifts management focus, apparently</strong>: An article suggests that management skills are now ‘critical for effective AI agent interaction,’ claiming MBA students with no coding skills built startup prototypes in four days using AI. Apparently, knowing what to ask for is now more important than knowing how to build it, because AI makes ‘effort abundant and cheap.’ So, just delegate to the AI, and your job is done, right? Sounds like a recipe for some truly spectacular AI-generated messes. <a href="https://app.daily.dev/posts/WyavXiw9C" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI user divide: power users vs. basic chat interfaces</strong>: There’s a ‘significant divide’ emerging between AI users: ‘power users’ leveraging advanced tools like Claude Code and ‘basic chat interfaces’ users. Enterprises are apparently stuck with ‘poor tools like M365 Copilot,’ hindering access to cutting-edge AI. The article suggests ‘tiny teams’ with advanced AI access can ‘outcompete organizations thousands of times their size.’ So, if your company isn’t using ‘Claude Code’ to build products, you’re basically doomed. Got it. <a href="https://app.daily.dev/posts/WZuX1OWTx" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
