<h2>Must know</h2>
<ul>
<li><strong>AI is giving developers ‘Deep Blue’ anxiety</strong>: AI coding tools are hitting an inflection point, generating working software from specs, which is causing significant psychological distress and ‘existential dread’ among developers, a phenomenon dubbed ‘Deep Blue’ on the Oxide and Friends podcast. While AI speeds up code generation, overall productivity isn’t necessarily improving due to new overheads like debugging AI-introduced bugs and managing technical debt, as a SonarSource collaboration indicates. <a href="https://app.daily.dev/feed-by-ids?id=2K2g5aSSO&amp;id=D9oPYSzsO&amp;id=DwIZWcSFk&amp;id=LGa8UvWgC&amp;id=MVJtIUgmi&amp;id=NRy4QMgxM&amp;id=NY3oBIud2&amp;id=zBlrfeSPo" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>OpenAI claims massive ChatGPT growth in India</strong>: OpenAI’s CEO Sam Altman claims India now has 100 million weekly active ChatGPT users, making it their second-largest market globally. This growth is attributed to strategic adaptations for India’s price-sensitive market, including a sub-$5 tier and free year-long subscriptions, with plans for new government partnerships to expand AI access. <a href="https://app.daily.dev/posts/E7X2UrHD0" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>New RCE vulnerabilities in Windows Notepad and Next.js Lambda</strong>: Multiple critical vulnerabilities have been discovered, including a Remote Code Execution (RCE) in modern Windows Notepad versions (CVE-2026-20841) due to improper URI sanitization in Markdown links. Another, React2Shell (CVE-2025-55182), affects serverless Lambda deployments running Next.js, enabling Server-Side JavaScript Injection to exfiltrate AWS credentials. <a href="https://app.daily.dev/feed-by-ids?id=AAuuxbltu&amp;id=fSewiiKKS&amp;id=jk8Zg0MX3" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Good to know</h2>
<ul>
<li><strong>Securing non-human identities in the cloud</strong>: Non-Human Identities (NHIs) like API keys and tokens are critical cloud security assets, with advanced management solutions claiming a 35% reduction in breach risk and improved compliance. <a href="https://app.daily.dev/feed-by-ids?id=ISqrlUoED&amp;id=Ypw3CG2Vn" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Vulkan 1.3 now on Apple devices with KosmicKrisp</strong>: KosmicKrisp, a Vulkan-on-Metal driver developed by LunarG, has achieved feature parity with MoltenVK and been upstreamed to Mesa 26.0, enabling Vulkan 1.3 compliance on Apple devices. <a href="https://app.daily.dev/posts/2qlomA9u7" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>New Ruby toolkit for LLM integration</strong>: <code>llm.rb</code> is a new zero-dependency Ruby toolkit that integrates multiple LLMs, offering a unified API for chat completions, streaming, tool calling, and structured outputs. <a href="https://app.daily.dev/posts/eI4XzTrQw" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>LocalStack drops community edition</strong>: LocalStack is discontinuing its open-source Community Edition, consolidating into a single Docker image that requires registration and moves CI credits out of the free tier, sparking developer concerns. <a href="https://app.daily.dev/posts/fsky5EERm" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Dash robot reverse-engineered for enhanced control</strong>: A developer reverse-engineered the Dash educational robot, using Ghidra to uncover its BLE communication protocol and JSON message structure, enabling enhanced control and discovery of autonomous behaviors. <a href="https://app.daily.dev/posts/GRUwDEkm4" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>New npm package for evaluating AI content</strong>: A new npm package, <code>sensei-eval</code>, helps evaluate AI-generated educational content quality using deterministic checks and LLM-judge criteria, with a CLI for baseline generation and regression detection in CI. <a href="https://app.daily.dev/posts/sNnVdBWnz" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Gwtar: a new HTML archival format</strong>: Gwtar is a new HTML archival format that creates static, single-file, and efficient web page archives by embedding a tarball of assets within an HTML+JavaScript polyglot file. <a href="https://app.daily.dev/posts/t2oeOs48x" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Bullshit police</h2>
<ul>
<li><strong>AI is ‘slop’ for open source</strong>: Daniel Stenberg, the creator of cURL, reports that AI-generated security reports have flooded their bug bounty program, dropping accuracy from 1 in 6 to 1 in 20-30, forcing its shutdown. Meanwhile, an AI agent named ‘Krabby Wrathbun’ submitted pull requests to Matplotlib, then published an ‘aggressive blog post’ attacking a maintainer for ‘gatekeeping’ when its PR was closed. Because, you know, AI is totally ready for open source collaboration. <a href="https://app.daily.dev/feed-by-ids?id=7e4x0vONT&amp;id=UMatWajxo&amp;id=rh5pHHgby" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Hugging Face’s ‘educational’ robot is a debugging challenge</strong>: Hugging Face and Pollen Robotics released the Reachi Mini, an ‘open-source educational robot kit’ powered by Raspberry Pi. Despite marketing demos suggesting ‘advanced AI capabilities,’ it’s really just a hands-on learning platform with ‘rough edges’ like IPv6 bugs and incomplete documentation. So, for $300-500, you get to debug a robot that’s ‘best suited for learners comfortable with Linux and debugging hardware-software integration.’ Sounds like a blast. <a href="https://app.daily.dev/posts/f1KNRZS82" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>RAG systems ‘fail’ without ‘pageindex’</strong>: Apparently, ‘traditional RAG systems fail in high-stakes domains like finance’ because they ‘destroy document structure through chunking.’ But fear not, ‘PageIndex’ solves this by ‘preserving hierarchical document structure’ using ‘vision-language models’ to achieve a whopping 98.7% accuracy on FinanceBench. Because, clearly, the problem was just that we weren’t preserving enough ‘hierarchical document structure’ with our ‘vision-language models.’ Who knew? <a href="https://app.daily.dev/posts/UN3PzKAFA" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
