<h2>Must know</h2>
<ul>
<li><strong>AI agents are coming for your code, and your job</strong>: GitHub released a multi-platform SDK for integrating Copilot’s agentic workflows into applications, supporting Python, TypeScript, Go, and .NET. This SDK enables orchestration, planning, tool invocation, and programmatic file edits, essentially embedding the Copilot CLI engine. Meanwhile, Atomic Software launched a version control system specifically for AI-generated code, addressing the challenges of machine-speed development with patch theory from the Pijul project, as reported by Hacker News. This means AI is not just writing code, but managing it, too. <a href="https://app.daily.dev/feed-by-ids?id=GXXnGjqMp&amp;id=GuG7K2ryZ&amp;id=xcY01cgn0" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Google’s AI mode wants to read your Gmail and photos</strong>: Google launched AI Mode with Personal Intelligence for its AI Pro and AI Ultra subscribers in the U.S. This feature allows the AI to access users’ Gmail and Google Photos, if they opt-in, to suggest things like vacation itineraries or shopping items. Google claims it only trains on specific prompts and responses, not entire inboxes or photo libraries, but the implications for privacy are, shall we say, ‘interesting.’ <a href="https://app.daily.dev/posts/Kw6SK0Mqr" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Quantum computing gets a stability boost</strong>: Researchers at the University at Buffalo discovered that photons and atoms in optical cavities can maintain different temperatures, creating ‘prethermal states’ that protect quantum information. This breakthrough, detailed in a university announcement, could address a major scalability bottleneck for neutral-atom quantum computers, potentially enabling larger-scale, photon-mediated quantum architectures without constant external intervention. Separately, Pheliqs researchers found ‘sweet spots’ for hole spin qubits in silicon quantum dots, making them more resistant to electrical noise while maintaining control efficiency. <a href="https://app.daily.dev/feed-by-ids?id=MBOQ6wglQ&amp;id=ovzogPPU9" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Good to know</h2>
<ul>
<li><strong>JetBrains IDEs get OpenAI Codex integration</strong>: OpenAI Codex, powered by GPT-5.2-Codex, is now natively integrated into JetBrains IDEs (IntelliJ, PyCharm, WebStorm, Rider) starting with version 2025.3, offering adjustable autonomy levels and ‘reasoning budgets’ for coding tasks. <a href="https://app.daily.dev/posts/uAvdGTErT" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Rails 8 solidifies its MVP framework status</strong>: Ruby on Rails 8 continues to be a top choice for MVPs, offering built-in authentication, background jobs (Solid Queue), caching (Solid Cache), and WebSocket support (Solid Cable) without external dependencies, simplifying deployment and integration with modern frontends. <a href="https://app.daily.dev/feed-by-ids?id=w2WfkMTD2&amp;id=w2WfkMTD2&amp;id=w2WfkMTD2" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Datadog unifies RUM and APM data</strong>: Datadog launched automatic retention filters that link Application Performance Monitoring (APM) traces to Real User Monitoring (RUM) sessions, aiming to unify frontend and backend observability data for better troubleshooting. <a href="https://app.daily.dev/posts/fs5040Sq6" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Vercel sandboxes get filesystem snapshots</strong>: Vercel Sandboxes now support filesystem snapshots, allowing users to save the complete state of a running sandbox and launch new ones from these snapshots, streamlining CI/CD workflows and rapid prototyping. <a href="https://app.daily.dev/posts/Uv3Zx9otG" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Rust 1.93.0 improves musl and inline assembly</strong>: Rust 1.93.0 updates the bundled musl libc to 1.2.5, improving DNS resolution for static Linux binaries, and stabilizes 23 APIs, including better handling for inline assembly macros. <a href="https://app.daily.dev/feed-by-ids?id=wF6DW7Hp4&amp;id=O9g10PE7Q" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Feast joins PyTorch ecosystem for feature management</strong>: Feast, an open-source feature store, integrated with the PyTorch Ecosystem to provide a unified API for consistent feature management across AI model training and deployment, addressing training-serving skew. <a href="https://app.daily.dev/posts/dPG1hvjH4" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>TypeScript embraces no-build workflows</strong>: TypeScript 5.8 and Node.js 22.6 introduce type stripping and <code>--experimental-strip-types</code>, enabling ‘no-build’ workflows for server-side development by removing type annotations at runtime. <a href="https://app.daily.dev/posts/gB9bktBA8" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Bullshit police</h2>
<ul>
<li><strong>AI agents: The new ‘cowboy sysadmins’?</strong>: Apparently, AI agents are introducing ‘non-deterministic actions’ into IT operations, which is just a fancy way of saying they’re making things unpredictable. The article warns against letting AI directly modify live production systems, comparing it to the ‘cowboy’ sysadmins of yore. So, we’re trading human error for algorithmic chaos, but hey, at least it’s automated chaos, right? <a href="https://app.daily.dev/feed-by-ids?id=U8PYVjc73&amp;id=dDX3fZDOz" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI-powered QA: Because humans are too slow for ‘actionable business insights’</strong>: Testlio launched LeoInsights, an AI-based QA analysis solution trained on 13 years of their data, promising ‘executive-level summaries’ and a ‘value calculator’ to measure efficiency. Because what executives really need is an AI to tell them how much money they’re saving on QA, rather than, you know, actual human insights. And of course, no mention of how much this AI magic costs or if it actually works in the real world. <a href="https://app.daily.dev/feed-by-ids?id=xZI6Dgtwy&amp;id=xZI6Dgtwy" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI-driven development lifecycle: The new Agile, but with more AI</strong>: A new ‘AI-DLC’ methodology proposes AI as the ‘main orchestrator’ of software development, initiating workflows and generating code, with humans merely validating. It’s like Agile, but instead of stand-ups, you’ll be approving AI’s ‘Intents, Units, and Bolts.’ Shortened iteration cycles to ‘hours or days’ sound great, but I’m sure the ‘Mob Elaboration’ rituals with your AI overlords will be just as productive as your last all-hands meeting. <a href="https://app.daily.dev/posts/SNNDpvqm6" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
