<h2>Must know</h2>
<ul>
<li><strong>AWS plans massive datacenter expansion for AI</strong>: AWS reported its strongest quarterly growth in over three years, driven by traditional cloud migration and AI workloads. The company plans to invest $200 billion in 2026 to double its datacenter capacity by the end of 2027, primarily for AI infrastructure. CEO Andy Jassy stated AWS is monetizing AI capacity as fast as it’s deployed, with custom Trainium accelerators and Graviton CPUs generating significant revenue, as reported by sources like IEEE Online Mini-MBA Helps Fill AI Skills Gaps. <a href="https://app.daily.dev/posts/1BAlXIloL" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Microsoft open-sources Rust-based sandboxing project LiteBox</strong>: Microsoft has open-sourced LiteBox, an experimental library OS written in Rust, designed for application sandboxing with a minimal attack surface. Positioned between containers and VMs, it offers stronger isolation without heavy overhead, supporting unmodified Linux applications and confidential computing with AMD SEV-SNP. This initiative aims to enhance security and isolation in cloud environments, as detailed in Microsoft’s announcement. <a href="https://app.daily.dev/feed-by-ids?id=jIlb9nmzq&amp;id=0PdnWmIzP" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI agents disrupt SaaS business models and developer productivity</strong>: AI agents are fundamentally changing the SaaS landscape, shifting from selling software tools to delivering outcomes directly. Anthropic’s Cowork plugins, for instance, have triggered significant stock drops in major SaaS companies, demonstrating that domain expertise can be expressed as simple configuration files on general-purpose AI. This transformation represents a structural shift from seat-based pricing to outcome-based models, where enterprises pay for results rather than tool access, according to articles like ‘Is the SaaSpocalypse nigh?’. <a href="https://app.daily.dev/feed-by-ids?id=zMRAHcD2R&amp;id=1UoQrsDRG&amp;id=3IeScMbvD" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Good to know</h2>
<ul>
<li><strong>Snowflake integrates pg_lake for open data standards</strong>: Snowflake integrated <code>pg_lake</code>, an open-source PostgreSQL extension, into its Snowflake Postgres service, enabling direct SQL interaction with data lakehouses and Apache Iceberg tables, and expanding its Horizon Catalog for governance. <a href="https://app.daily.dev/posts/kBWxo6cQz" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>NVIDIA NVFP4 accelerates AI performance</strong>: NVIDIA introduced NVFP4, a 4-bit floating-point precision format for AI training and inference, achieving up to 3x faster performance than FP8 on Blackwell Ultra GPUs while maintaining accuracy. <a href="https://app.daily.dev/posts/2zfw3Y2wB" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI identifies high-severity software vulnerabilities</strong>: Anthropic’s Claude Opus 4.6 autonomously identified 500 high-severity vulnerabilities in open-source software during a trial, demonstrating AI’s growing capability in vulnerability research, though human verification is still required. <a href="https://app.daily.dev/feed-by-ids?id=DDZLtuMLV&amp;id=5JSu87osJ" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Swift expands cross-platform and AI integration</strong>: Swift’s cross-platform capabilities are growing, with Goodnotes sharing 100,000+ lines of Swift code via WebAssembly, and Xcode 26.3 introducing agentic coding support with a new Model Context Protocol (MCP) for AI agent integration. <a href="https://app.daily.dev/posts/NT977RqD0" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>New Ruby E2E testing framework ‘E2E’ released</strong>: A new Ruby end-to-end testing framework, ‘E2E’, was released, wrapping Playwright to provide fast browser testing with a Capybara-like DSL, zero-config for Rails, and transactional test support. <a href="https://app.daily.dev/posts/BT9QhKBRx" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Linux kernel scheduling enhancements proposed</strong>: Cambridge researchers developed Latency-Aware Group Scheduling (LAGS) to boost Kubernetes cluster capacity by 10-20%, while a new Linux kernel patch series, DHEI, aims for dynamic CPU resource partitioning without reboots. <a href="https://app.daily.dev/feed-by-ids?id=cc5mbXUoZ&amp;id=sIpmbSkbv" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Datadog integrates Lustre monitoring for HPC</strong>: Datadog now offers an integration for monitoring Lustre parallel file systems in HPC environments, tracking metadata operations, I/O throughput, and file system health to detect bottlenecks and optimize storage. <a href="https://app.daily.dev/posts/CF5VjFqi4" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Bullshit police</h2>
<ul>
<li><strong>AI is making junior developers extinct</strong>: An opinion piece titled ‘The Junior Developer is Extinct (And we are creating a disaster)’ claims AI tools like Copilot are automating entry-level coding tasks, creating a ‘dangerous gap’ in the career pipeline. Apparently, the ‘grunt work’ of writing unit tests and debugging legacy code was crucial for junior developers to gain foundational skills. So, instead of adapting training, we’re just going to let the robots take over the learning curve, leading to a ‘barbell distribution’ of senior engineers and AI-dependent newbies. Because, you know, learning to audit AI-generated code isn’t a skill. <a href="https://app.daily.dev/posts/MGWWK0MWO" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI is taking over open source</strong>: Tailwind CSS, a ‘popular’ open-source project, laid off 75% of its engineering team because AI tools generate code without developers visiting their documentation site. The article frames this as AI ‘taking over’ open source, but it sounds more like a business model reliant on documentation traffic for commercial product promotion just got disrupted. Who knew AI would be so rude as to not click through to your premium offerings? <a href="https://app.daily.dev/posts/uR7Q2jMhV" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Postman becomes an ‘everything app’</strong>: Postman, once a simple API client, has apparently transformed into an ‘everything app’ with AI agent builders, API portfolio management, and managed cloud servers. This, according to one article, represents ‘feature creep and vendor lock-in risks.’ Because what developers really need is another bloated platform trying to do everything, rather than a focused tool that does one thing well. Good luck with that ‘everything’ approach, Postman. <a href="https://app.daily.dev/posts/O8Zfhee9v" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
