<h2>Must know</h2>
<ul>
<li><strong>AI coding agents are getting faster, but still need human smarts</strong>: AI coding assistants are generating code at an astonishing rate, with one developer porting 100,000 lines of JavaScript to Rust in a month using Claude Code, and another building a browser with thousands of parallel AI agents. However, this speed comes with a catch: AI-generated code often introduces architectural and quality problems, with some studies showing it correlates with reduced delivery stability and more security vulnerabilities. Developers are finding that while AI excels at boilerplate, it struggles with greenfield projects, DevOps, and test code, requiring significant human oversight for planning, context engineering, and rigorous review to prevent technical debt and ensure quality, as noted by Zed’s Blog and various developer experiences. <a href="https://app.daily.dev/feed-by-ids?id=a8LWkElwv&amp;id=MaSOGAXc9&amp;id=BrFQI7FHb&amp;id=DovPZUpOP&amp;id=EHuoSn58k&amp;id=dSFznJ0W1&amp;id=pYjmmMIkn&amp;id=2tsKdG55u&amp;id=f1lHyoYFM&amp;id=SNNDpvqm6" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Next.js 16 and the React ecosystem double down on performance and AI</strong>: Next.js 16 is here, making Turbopack the default bundler for 2-5x faster production builds and 10x faster hot reloading. It’s also got new Cache Components for predictable behavior and AI debugging via Model Context Protocol (MCP) in DevTools, letting AI agents suggest fixes. Meanwhile, Vercel’s json-render tool lets AI dynamically generate UIs, and the React ecosystem is seeing new tools like nuqs for URL-synced state and Remotion’s agent skills for AI-generated videos, as reported by Next.js and React Status. Even with all this AI, React Server Components still have high-severity DoS vulnerabilities, so keep those WAFs up, Vercel warns. <a href="https://app.daily.dev/feed-by-ids?id=91xiEmcVe&amp;id=GHFDClpAg&amp;id=5RKyfi3u8&amp;id=Cp1cdd7od&amp;id=ZeIjZxaxs&amp;id=JeXn8RMFE&amp;id=igYAcLEa7" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>WebAssembly and Rust are becoming indispensable for web performance and security</strong>: WebAssembly (Wasm) is hitting its stride, with Safari adding exception handling and JavaScript String Builtins, and proposals like Memory64 reaching standardization. Kotlin and .NET are jumping on the Wasm bandwagon, expanding language support and performance. Rust continues to be the go-to for system-level tasks, offering memory safety and speed, often paired with JavaScript/TypeScript in hybrid architectures, as highlighted by JetBrains. Even new languages like Script are compiling JavaScript/TypeScript to native code with Rust-like safety, promising up to 8x speedups over Node.js, according to InfoQ and other sources. <a href="https://app.daily.dev/feed-by-ids?id=jtf8mrjCJ&amp;id=UAEJhL6mu&amp;id=PpJc9MwUl&amp;id=iOGOTjzat&amp;id=rqv8DSJqO&amp;id=UVEcahvUv&amp;id=WA6ZNpWNm" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Good to know</h2>
<ul>
<li><strong>AI governance and security are now board-level concerns</strong>: With AI agents outnumbering human identities 80-to-1, boards are reframing cybersecurity as operational resilience, demanding clear ownership and accountability for AI agent actions, as discussed in various reports. <a href="https://app.daily.dev/feed-by-ids?id=7Z8bnCLgc&amp;id=nUFRFzE1V&amp;id=yBxtGCVqr&amp;id=KOoayUI82&amp;id=acGpetBEA&amp;id=01zKF8VbM&amp;id=MYKhWQim8&amp;id=bTqYHlvgZ&amp;id=5FXt0qWId&amp;id=8uzQJ4GD3" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>PostgreSQL continues to evolve with new tools and performance gains</strong>: PgDog replaced Protobuf with C-to-Rust bindings for a 25% overall performance boost in its PostgreSQL proxy, while pgmoneta 0.20.0 offers a redesigned locking mechanism and enhanced S3 integration for backups, as reported by PgDog and the PostgreSQL community. <a href="https://app.daily.dev/feed-by-ids?id=Mya0HcQzB&amp;id=GZhKq1ONe&amp;id=kTFzWfx6k&amp;id=eKm9n1imv&amp;id=m5IRqcNSP&amp;id=oIEBoE2RS" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>New tools and frameworks for AI-driven web development</strong>: Neuron is a new PHP agentic framework for building type-safe AI apps, while Superplane offers an open-source DevOps control plane for event-driven workflows, integrating with CI/CD and incident management tools, as announced by Neuron and Superplane. <a href="https://app.daily.dev/feed-by-ids?id=eqhBE21dP&amp;id=kqsR7vdYA&amp;id=GMYMQvgB9&amp;id=XjWQotgZk&amp;id=uhYYuwUH4&amp;id=coreyhaines31%2Fmarketingskills" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Linux desktop and kernel see continuous improvements</strong>: Linux kernel 6.19 fixes a year-long regression in ATA power management, and Intel engineers upstreamed a patch for up to 15% NVMe storage throughput on high-core-count CPUs, while XFCE is rewriting its Wayland compositor in Rust for memory safety, as reported by Phoronix and other sources. <a href="https://app.daily.dev/feed-by-ids?id=mNRQJiXzS&amp;id=B7bbeX2o8&amp;id=BIhibPcDf&amp;id=CI1vi8cFn&amp;id=Dzm9BlHRH&amp;id=EAailnS1Q&amp;id=ETf9xy9sf&amp;id=96AM3XRbN&amp;id=0idn9g8qQ&amp;id=cxhDtp9rh" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Python ecosystem gets a JIT compiler and tooling updates</strong>: Python introduces a new JIT compiler for faster code execution, Pandas version 3 is out, and Zed, a Rust-based code editor, is gaining traction as a performance-oriented alternative to VS Code, as reported by various sources. <a href="https://app.daily.dev/feed-by-ids?id=0TjKgLuas&amp;id=Y2d0smXfY&amp;id=1gzoFGxq9&amp;id=URQxVAqw6&amp;id=kfqN9V4VG" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>New tools for React Native and cross-platform development</strong>: Replit now supports building mobile apps with Expo and React Native, while Microsoft released React Native Windows 0.81 with Hermes debugger support, raising questions about its MAUI strategy, as reported by Replit and DEVCLASS. <a href="https://app.daily.dev/feed-by-ids?id=bTgYZefU7&amp;id=7jYV4dEG1&amp;id=MEPDreukD" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI is transforming enterprise data analysis and storage</strong>: BigQuery now offers GA support for AI.GENERATE and AI.GENERATE_TABLE, enabling multimodal data processing directly in SQL, while Azure Storage is enhancing capabilities for AI workloads with Managed Lustre and Elastic SAN, as announced by Google Cloud and Microsoft. <a href="https://app.daily.dev/feed-by-ids?id=9kdSue3WD&amp;id=kL7SskePD&amp;id=mwaJGbTSf&amp;id=qKylpit89&amp;id=07MnJ0vg7" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Bullshit police</h2>
<ul>
<li><strong>AI coding assistants: faster code, more bugs, less understanding</strong>: Apparently, AI coding assistants make developers 19% slower despite generating 46% more code, with 1.7x more bugs and security issues. It seems AI optimizes for typing speed, not architectural soundness, leading to developers merging code they don’t understand. So, we’re just trading one kind of technical debt for another, but faster! <a href="https://app.daily.dev/feed-by-ids?id=BrFQI7FHb&amp;id=DovPZUpOP&amp;id=EHuoSn58k&amp;id=J24eplQdr&amp;id=EZUXhYwRZ&amp;id=4Q68q9tpN&amp;id=pc6GKGFyk&amp;id=qu9MmthdT" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI hype vs. reality: the trough of disillusionment is here</strong>: Gartner predicts global AI spending will hit $2.52 trillion by 2026, but MIT research says 95% of enterprises see no ROI from their AI investments. It seems we’re deep in the ‘trough of disillusionment,’ where the hype far outstrips actual value. But hey, at least hyperscalers are spending hundreds of billions on AI datacenters, so someone’s making money. <a href="https://app.daily.dev/feed-by-ids?id=j0xF0WiVr&amp;id=yCkgCoa6x&amp;id=5Fg1jNG3m&amp;id=rEdiBiFbV&amp;id=zVJaiO8vu&amp;id=w9Ef7Muin&amp;id=k9yDuYtiX&amp;id=pPxEIulIE&amp;id=G8W1uF2ZH&amp;id=4urCLb8ya" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>The ‘Product Engineer’ role: because engineers needed more meetings</strong>: AI coding agents are so good at writing code that the new bottleneck is ‘problem definition.’ So, now engineers need to become ‘Product Engineers,’ blending technical skills with deep customer understanding, user interviews, and support feedback. Because what every engineer really wanted was more meetings and less coding, right? At least they’re calling it ‘non-automatable soft skills’ instead of just ‘talking to people.’ <a href="https://app.daily.dev/feed-by-ids?id=yJ8WtVNig&amp;id=KfJ8s7nDm&amp;id=rgphaupCb&amp;id=xZkwmlhSZ&amp;id=wzh6JIlVF&amp;id=otuC5YedQ&amp;id=3ftrpBzS4&amp;id=MQp9aULzw&amp;id=GQIfimudI&amp;id=AEb5qh6JH" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
