#16 - The AI Agent Race Just Got Real
In the past week, Anthropic, Microsoft, and Google launched major updates bringing AI agents closer to becoming true co-workers.
Welcome to the new era of AI agents. This issue is presented to you by Devi AI
Claude Opus 4 & Sonnet 4: Serious Upgrades in AI Reasoning and Coding
Anthropic's new Claude models aren’t just faster or smarter, they're redefining what AI can handle.
Claude Opus 4
Built for long, complex tasks like multi-file code refactoring.
Crushed benchmarks with 72.5% on SWE-bench and 43.2% on Terminal-bench.
Can operate autonomously for long stretches. Think research agents, not just chatbots.
Claude Sonnet 4
Hits 72.7% on SWE-bench, beating its predecessor.
Optimized for everyday development tasks.
Faster, cheaper, and more efficient.
Both models include "extended thinking" modes, combining internal reasoning with external tool use. That means smarter problem-solving, fewer hallucinations.
Bottom Line: Claude is evolving from clever chatbot to a real coding and reasoning partner.
Read the full blog here.
Microsoft's Bold Bet: The Open Agentic Web
At Build 2025, Microsoft didn’t just talk about AI agents, they announced an entire agentic ecosystem. Their plan? Make the web agent-native.
What They Unveiled:
GitHub Copilot as a Full Agent: More than autocomplete, now a true dev assistant.
Windows AI Foundry: Local AI tools for building custom agents.
Microsoft 365 Upgrades: Multi-agent workflows to boost productivity across apps.
NLWeb Protocol: A new standard to let AI agents interact with websites naturally.
Azure AI Foundry Expansion: Now with 1,900+ models, including Grok 3 from Elon Musk.
Why It Matters: Microsoft is making sure AI agents aren't just for demos. They want them everywhere, in your code, your documents, and even your browser.
Read the full blog here.
Google's Gemini: Aiming for the Universal AI Assistant
Google is taking its shot with Gemini, and it’s aiming high: a universal assistant that understands you, your world, and what you need done.
What’s New:
Gemini Live is now free on Android and iOS.
Includes camera and screen sharing, giving users real-time visual assistance.
Deep Integration with Google apps: Calendar, Maps, Keep, and more.
Multimodal World Modeling: Gemini is learning to simulate, plan, and imagine. Not just respond, but anticipate.
Why It Matters: This is Google's big swing at making Gemini more than a tool, they want it to be a thinking, seeing, doing agent for your everyday life.
Read the full blog here.
Stop Shouting Into the Void 🚫
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LLM Engineer Toolkit: Your Go-To Resource for AI Development
For anyone navigating the rapidly evolving landscape of Large Language Models, this GitHub repository is an invaluable resource.
This carefully chosen collection includes over 120 LLM libraries, organized to make your development work easier.
Whether you're focused on training, application development, Retrieval-Augmented Generation, inference, or even advanced topics like agents and evaluation, this toolkit provides quick links to essential tools.
It's an indispensable guide for LLM engineers aiming to build robust, efficient, and innovative AI applications, providing a clear roadmap through the complex ecosystem of available solutions.
Codestral Embed: Advancing Code Understanding
Mistral AI recently launched Codestral Embed, their first embedding model developed specifically for code. This marks an important development for developers, improving how we retrieve and analyze code.
Key Highlights for Technical Professionals:
Top Performance: Codestral Embed outperforms leading code embedders, providing superior results for code-related tasks.
Flexible & Efficient: It generates embeddings with adaptable dimensions, letting you balance quality and cost.
Core Applications: Perfect for Retrieval-Augmented Generation, semantic code search, finding similar code, and code analytics.
Availability: Accessible via the Mistral AI API, it's designed for high-performance code understanding.
This model promises to revolutionize how we interact with and leverage large codebases.
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