by HELLO EVERYONE!!! It’s February 27th, 2026, and today marks a huge milestone: the 100th edition of Codeminer42’s Dev Weekly! 🎉.
One hundred editions of sharing insights, trends, breakthroughs, and the stories shaping the tech world. What started as a simple tech news report has become a consistent space for learning, curiosity, and community.
Thank you for being part of this journey. Now, let’s dive into what the tech world brought us this week! 💻✨
Hugging Face Skills
Hugging Face Skills, an open initiative to standardize reusable capabilities for AI agents. It presents a way to package, share, and compose structured “skills” so models can perform tasks more reliably and modularly. The repository outlines how developers can define inputs, outputs, and execution logic in a consistent format. If you’re building AI agents, click to explore how skills could shape the next generation of tooling.
Headius on Bluesky: JVM & Ruby insights
This interesting post shares insights from headius on the evolving relationship between Ruby and the JVM ecosystem. It touches on performance considerations, runtime experimentation, and the future of JRuby in modern infrastructure. The discussion highlights how language runtimes continue to adapt in an AI and cloud-first world. If you care about Ruby performance and VM internals, click to follow the conversation.
Node.js: Temporal by default
This proposed PR, outlining improvements and internal changes aimed at enhancing performance and maintainability. It provides technical context, implementation details, and discussion from core contributors. The update reflects the ongoing evolution of the Node.js runtime at scale. If you work with Node in production, click to understand what’s changing under the hood.
Google API Keys Weren’t Secrets. But then Gemini Changed the Rules – by Joe Leon
This article explores how Google API keys were historically treated as non-secret identifiers, until Gemini shifted the security landscape. It explains how LLM-powered APIs introduce new risks, making exposed keys far more dangerous than before. The post dives into real-world implications and why old assumptions about API key safety no longer hold. If you rely on Google APIs, this is a must-read to reassess your security posture. Click to understand what changed.
Nano Banana 2: Combining Pro capabilities with lightning-fast speed
This article introduces Nano Banana 2, Google’s latest AI model update focused on delivering Pro-level capabilities with significantly improved speed and efficiency. It highlights performance gains, practical use cases, and how developers can leverage it in production. The post emphasizes the balance between power and responsiveness in modern AI systems. Curious how it compares to other models? Click to explore the details.
AdonisJS v7 is here – by Harminder Virk
This post announces the release of AdonisJS v7, bringing major improvements to developer experience, architecture, and performance. It walks through new features, breaking changes, and migration tips for existing projects. The update reinforces AdonisJS as a strong Node.js framework alternative with a batteries-included philosophy. If you’re building APIs or full-stack apps with Node, click to see what v7 unlocks.
Dictionary Compression is finally here, and it’s ridiculously good – by Tim Perry
This interesting article dives into dictionary compression and why it dramatically improves performance for repetitive payloads. The post explains how shared dictionaries can optimize APIs and web delivery at scale. If performance matters to you, click to see how this could reshape your backend strategy.
The React Foundation: A New Home for React Hosted by the Linux Foundation – by Matt Carroll
This article reveals that React now has a new governance model under the Linux Foundation, forming the React Foundation. It explains what this means for long-term sustainability, open governance, and community contributions. The move signals maturity and stability for one of the most important frontend libraries in the world. If you work with React, click to understand the future direction of the ecosystem.
Detecting and preventing distillation attacks – by Anthropic
This article discusses the emerging threat of distillation attacks, where models are reverse-engineered or copied through query-based extraction. It explains detection strategies, defensive techniques, and the broader implications for AI providers. The post highlights why protecting model weights and behavior is becoming critical in the AI race. Click to learn how AI security is evolving.
Prompt engineering: Big vs. small prompts for AI agents – by Michael Dawson
This article compares large, instruction-heavy prompts with smaller, more modular ones when building AI agents. It explores trade-offs in cost, performance, maintainability, and reasoning quality. The post provides practical guidance for designing prompts in real-world systems. If you’re building LLM-powered tools, click to refine your prompt strategy.
Languages, Tools & Framework releases
Big updates coming in NestJS v12
This post highlights major upcoming changes in NestJS v12, including architectural refinements and ecosystem improvements. It outlines enhancements that aim to improve scalability, performance, and developer ergonomics. The update signals continued evolution for one of the most popular Node.js frameworks. Click to see what’s coming and how to prepare.
Oxfmt Beta
Oxfmt Beta, a new high-performance formatter built within the Oxc ecosystem. It focuses on speed, consistency, and modern tooling compatibility. The article showcases benchmarks and integration details for early adopters. If you care about fast tooling in large codebases, click to check it out.
RubyLLM::MCP v1.0.0 🎉 (from v0.8.0)
This post announces RubyLLM::MCP v1.0.0, marking a stable milestone for Ruby developers building LLM-powered applications. It outlines new features, API refinements, and improvements since v0.8.0. The release strengthens Ruby’s position in the AI tooling space. If you’re working with Ruby and LLMs, click to explore what’s new.
Rage.rb: The Real-Time Ruby Framework
Rage.rb, a Ruby framework built for real-time applications with performance in mind. It explains how it differs from traditional Ruby frameworks and what makes it suitable for modern, event-driven systems. The post showcases its architecture and developer experience. If you’re curious about the future of real-time Ruby, click to learn more.
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And that’s all for this week! Wish you all a great weekend and happy coding!
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