<h2>Must know</h2>
<ul>
<li><strong>AI code generation: more refactoring than revolution</strong>: Turns out, AI-generated code often compiles but lacks architectural context, leading to poor state management and performance bottlenecks. Teams report that refactoring AI output can take longer than writing it from scratch, especially when dealing with ‘realistic’ but non-existent API elements. This highlights the critical need for rigorous code review and expert oversight, as noted by multiple engineering teams, to prevent silent technical debt and ensure functional correctness. <a href="https://app.daily.dev/feed-by-ids?id=STWE5tRXe&amp;id=UAphs9F5B&amp;id=euzGVQGzQ&amp;id=gMHZMigM0&amp;id=m6P4U0J0b&amp;id=wCQfiCXDa" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Major vendors ditch MITRE ATT&amp;CK evaluations</strong>: Microsoft, SentinelOne, and Palo Alto Networks have pulled out of the 2025 MITRE ATT&amp;CK Evaluations, citing resource prioritization for product development. MITRE’s CTO admitted the 2025 tests became more demanding, expanding to cloud environments and alert volume tracking. This move, labeled ‘vendor theater’ by some industry experts, suggests a shift in how major players view these evaluations, with MITRE planning a reboot for 2026 to realign with industry needs. <a href="https://app.daily.dev/feed-by-ids?id=c0ZYfkcgP&amp;id=hu11lcW1J" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Mandiant drops NTLMv1 rainbow tables, urges deprecation</strong>: Mandiant publicly released rainbow tables capable of cracking Net-NTLMv1 password hashes in under 12 hours using consumer hardware. This move, hosted on Google Cloud, aims to force the deprecation of the 20-year-old, vulnerable protocol still widely used despite Microsoft’s recommendations. Mandiant emphasizes the ease of credential theft and provides guidance for organizations to disable NTLMv1 immediately, framing it as a public service to accelerate security improvements. <a href="https://app.daily.dev/posts/2q2phjvWS" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Good to know</h2>
<ul>
<li><strong>NVIDIA boosts AI gaming and streaming with DLSS 4.5</strong>: NVIDIA announced DLSS 4.5 with Dynamic Multi Frame Generation for up to 5 additional frames per rendered frame, enabling 240+ FPS path-traced gaming on RTX 50 Series GPUs, alongside new G-SYNC Pulsar monitors and expanded GeForce NOW access. <a href="https://app.daily.dev/posts/jXjzYY9vI" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI agents: old wine in new bottles?</strong>: Many sources suggest that ‘AI agents’ are largely a rebranding of existing API-centric automation, web automation, and semantic web standards, driven by investment hype rather than genuine technical breakthroughs, though practical implementations show collaborative augmentation for developers. <a href="https://app.daily.dev/feed-by-ids?id=4rJ96gwiU&amp;id=6IAZSWIz1&amp;id=6XeVWOBXO&amp;id=77jDjhI5C&amp;id=sH4hATTfN" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>OpenAI launches healthcare suite</strong>: OpenAI introduced a healthcare-focused product suite, including ChatGPT for Healthcare and HIPAA-compliant API access, featuring GPT-5 models optimized for clinical workflows and integration with institutional policies, with major institutions like AdventHealth as early adopters. <a href="https://app.daily.dev/posts/c1qXuCRBu" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>NVIDIA expands Enterprise AI Factory with BlueField security</strong>: NVIDIA integrated BlueField cybersecurity and infrastructure acceleration into its Enterprise AI Factory validated design, partnering with nine ecosystem vendors to provide zero-trust hardware-accelerated security and AI runtime visibility for AI workloads. <a href="https://app.daily.dev/posts/SCEwsKfyS" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Chrome 145 beta brings CSS and Web API updates</strong>: Chrome 145 beta introduces new CSS features like <code>text-justify</code> and column wrapping, along with Web API updates including Navigation API destination exposure and ECMAScript Map upsert methods, while removing support for obsolete macOS virtual cameras. <a href="https://app.daily.dev/posts/oWgZOWIXh" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>LLMOps course focuses on production challenges</strong>: A new LLMOps course emphasizes strategies for configuring and orchestrating large language models in production, covering topics like decoding strategies, cost optimization, hallucination reduction, and application evaluation, distinct from traditional MLOps. <a href="https://app.daily.dev/feed-by-ids?id=1q51Gs3MM&amp;id=JItr1KihQ" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Porffor: a new JavaScript compiler for WebAssembly</strong>: Porffor is an ahead-of-time JavaScript compiler targeting WebAssembly and native code, promising 50x smaller binaries and significant performance gains for serverless functions, game engines, and embedded systems, though it currently lacks garbage collection and web APIs. <a href="https://app.daily.dev/posts/xTAvQVuAU" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Bullshit police</h2>
<ul>
<li><strong>AI data centers: building a talent black hole</strong>: The AI data center boom is creating an ‘unprecedented demand’ for skilled workers, with the U.S. needing nearly 400,000 more construction workers by 2033. Companies are ‘recruiting from diverse industries’ like nuclear energy and the military to fill gaps, because apparently, building server farms is now rocket science. So, while AI promises to automate everything, we’re just shifting the labor shortage to the people who build and maintain its infrastructure. Progress! <a href="https://app.daily.dev/posts/JE89HgTw1" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI will replace developers, just like COBOL did</strong>: Another decade, another round of ‘AI will replace developers!’ hype. From COBOL to low-code platforms, every few years, some new tech promises to democratize software creation and make us all redundant. Yet, here we are, still reasoning through edge cases and system design. These tools just amplify our capabilities, they don’t replace the actual thinking, as Hacker News points out. So, keep calm and code on, the ‘AI overlords’ still need us to fix their bugs. <a href="https://app.daily.dev/posts/DSeK6EEPJ" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Specialized SLMs: the new ‘democratization’ of AI</strong>: Apparently, large language models are ‘economically unsustainable,’ and the future is ‘specialized Small Language Models’ that can ‘outperform’ LLMs on ‘certain reasoning tasks.’ This ‘digital factory’ model, where many small, cheap SLMs do the heavy lifting, is touted to ‘democratize AI deployment’ and ‘reduce operational costs by several orders of magnitude.’ Because nothing says ‘democratization’ like a new set of acronyms and a marketplace of interoperable AI agents, all without any actual empirical deployment cases to back it up. NVIDIA’s survey says retail is all in, so it must be true! <a href="https://app.daily.dev/feed-by-ids?id=J1BKrq2u6&amp;id=J1IZlkzNv&amp;id=Yuaq0Gyje&amp;id=dliP781v1" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
