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The Gemini 2.5 Pro and Sonnet are two series of models that are arguably ahead of the competition in terms of coding performance. There was a recent update to Gemini 2.5 Pro, which made it even better than before. This has always put me in a dilemma of
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The Claude 4 series is here. Finally, Anthropic has given us the prized Opus, the model that became everyone’s darling overnight. After a year, we have the next iteration. Besides Opus, Anthropic also released Claude 4 Sonnet, a civilised version of 3.7 Sonnet. How good are these models?
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AlphaEvolve is here, and DeepMind has done it again. It is the first evolving agent for solving complex algorithmic and scientific problems and the spiritual successor of FunSearch. It retains some of Funsearch’s core tenets but dramatically improves in code evolution, evaluation, context, and search. AlphaEvolve leverages an evolutionary
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In the last blog post, we learned how to build a local deep research assistant using open-source tools. It was a great start, but it had some limitations. This agent improves upon it: * It can focus on specific topics * It has a broader toolkit support * You can save research summaries
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TL;DR Deep research is the hottest AI feature right now. Every LLM provider is adding to their product. But the models are proprietary, and you have less freedom. Check this out for using Composio's SaaS apps with LangGraph for building deep research agents. So, I built a
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In this blog post, I walk you thorough how to build a NextJS MCP chat client using hosted Composio MCP and custom local MCP servers
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OpenAI introduced the Agents SDK in March, a framework for building multi-agent workflows. The SDK provides a way to define agent behaviour, connect to external tools, and manage the action flow. Recently, they have also extended the support for MCP. Tools are exposed through MCP (Model Context Protocol), a standard
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What is Google A2A (Agent2Agent)? A practical guide to multi-agent workflows and why MCP is needed for tool access, auth, and reliable automation.
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MCP by Anthropic has become the standard for how AI agents connect to external tools. Both OpenAI and Google now officially support MCP in their agent frameworks. The protocol standardizes how LLMs discover and call tools — and the ecosystem has matured dramatically. This post covers 10 MCP servers that have
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GPT 4.1 is here. As many speculated, the mysterious Quasar Alpha on OpenRouter was GPT-4.1, and Optimus Alpha was GPT-4.1 mini. And they are not open-source. OpenAI has been teasing about open-sourcing some of its models, and everyone expected this to be an open-source launch, but I
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MCP is the talk of the town. And if you're here, there's a high chance you have encountered some of the great use cases in Cursor or Claude on the internet, and this blog post discusses how to connect Cursor with 100+ MCP servers to automate
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Google just launched Gemini 2.5 Pro on March 26th, claiming to be the best in coding, reasoning and overall everything. But I mostly care about how the model compares against the best available coding model, Claude 3.7 Sonnet (thinking), released at the end of February, which I have