<h2>Must know</h2>
<ul>
<li><strong>Java 26 arrives with HTTP 3 and GC throughput gains</strong>: Java 26 has officially reached general availability, delivering critical infrastructure for Project Valhalla. Key updates include native HTTP/3 support in the standard HttpClient and a 5-15% throughput boost for the G1 garbage collector via a dual card table approach that reduces synchronization overhead. According to Foojay and Baeldung, this release also expands ahead-of-time object caching to the ZGC, significantly improving startup times for containerized microservices. <a href="https://app.daily.dev/feed-by-ids?id=NtwjCFOhL&amp;id=AwFhHOZy6&amp;id=NTZMMi0Ew" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Spring ecosystem milestones target AI and AMQP 1.0</strong>: The Spring team has released third milestone builds for Boot 4.1, Security 7.1, and AI 2.0. Notable additions include native AMQP 1.0 support, MongoDB integration for Spring Batch, and a new McpClientCustomizer for standardized AI agent tool-calling. InfoQ reports that these updates also patch a sensitive data exposure vulnerability (CVE-2026-22732) related to improper HTTP caching in Spring Security. <a href="https://app.daily.dev/feed-by-ids?id=q85vFl82s&amp;id=NTZMMi0Ew" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>BoxLang 1.11 delivers major JVM runtime speedups</strong>: The latest release of BoxLang, the dynamic JVM language, introduces over 15 targeted runtime optimizations for bytecode compilation and concurrency. A critical fix addresses a flaw in the exclusive lock system that previously allowed thread leakage into protected sections under high load. Foojay notes that the update is a drop-in upgrade for existing Spring Boot 3 integrations, adding nanosecond precision to system timers and improved CLI error reporting. <a href="https://app.daily.dev/feed-by-ids?id=giHzcBuYj&amp;id=bdxPLgYWN" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Good to know</h2>
<ul>
<li><strong>KotlinConf 2026 schedule highlights AI and KMP evolution</strong>: The upcoming conference features deep dives into Koog 1.0 for production agents and Uber’s journey adopting Kotlin in a massive Java monorepo. <a href="https://app.daily.dev/feed-by-ids?id=oYJc25BYK&amp;id=Wlpupeqcw" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>TypeScript 6 serves as a bridge to Go powered compiler</strong>: This release enables strict mode by default and deprecates legacy module targets like AMD, preparing the ecosystem for the native Go compiler in version 7. <a href="https://app.daily.dev/feed-by-ids?id=rcBrZOPNH&amp;id=kynZFJI6r" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Azure pricing skill brings live cost data to GitHub Copilot</strong>: A new MCP-based skill allows engineers to query real-time Azure Retail Prices in plain English to estimate Terraform or Bicep infrastructure costs. <a href="https://app.daily.dev/posts/vHLJLlFvE" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Kubeflow SDK 0.4.0 adds SparkConnect and Model Registry</strong>: The update enables interactive distributed data processing on Kubernetes without YAML and introduces a Pythonic API for model versioning. <a href="https://app.daily.dev/posts/gMtyzcheV" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Android Automotive OS expands to core vehicle control</strong>: Google is moving AAOS beyond the dashboard to power body controls and cluster domains with a headless native stack and a new Display Safety framework. <a href="https://app.daily.dev/posts/PryPEZxW4" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Swift 6.2 reduces actor boilerplate and adds exit testing</strong>: The release introduces Default Actor Isolation to minimize annotations and a new Observations async sequence for transactional state updates. <a href="https://app.daily.dev/posts/3BRn9tA9B" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>FivFold launches full stack kits built on Shadcn UI</strong>: This open-source platform uses AST-based injection to drop production-ready features like chat UIs and matching NestJS/Prisma backends into existing projects. <a href="https://app.daily.dev/posts/hPqZU29Ud" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
<h2>Bullshit police</h2>
<ul>
<li><strong>The circular logic of AI language adoption</strong>: AI coding assistants are effectively freezing the programming landscape because they only work well on languages that already have massive datasets. This creates a ‘circular barrier’ where new, potentially better languages can’t get adopted because the AI hallucinations make them unusable, and they can’t get better data because nobody uses them. It’s a self-fulfilling prophecy that turns ‘disruptive’ AI into a tool for maintaining the status quo. <a href="https://app.daily.dev/posts/rNaRHJ0zu" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>Nvidia’s $35 trillion agent market hallucination</strong>: Jensen Huang is now pitching a $35 trillion market for AI agents and another $50 trillion for robotics, which is impressive considering the entire global GDP is only around $100 trillion. While Nvidia’s networking revenue is genuinely eating Cisco’s lunch, these astronomical projections feel like a desperate attempt to keep the stock price from correcting as enterprise ROI remains MIA. It’s not a roadmap; it’s a sci-fi novel written for institutional investors. <a href="https://app.daily.dev/feed-by-ids?id=tHngHAYCv&amp;id=uDwyuBUz7" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>The calorie tracking lie for engineering productivity</strong>: New ‘productivity’ tools are trying to use ML to assign a ‘caloric value’ to your code commits, as if software engineering were a treadmill workout. This nonsense ignores the fact that the most valuable thing an engineer can do is often deleting 1,000 lines of over-engineered garbage or spending three hours thinking so they don’t have to write code at all. Measuring ‘input’ via ML is just a high-tech way to bring back the failed ‘lines of code’ metrics of the 80s. <a href="https://app.daily.dev/posts/f6NPwxABK" target="_blank" rel="noopener nofollow">Read more</a></li>
</ul>
