Weekly notes on AI-driven software development: coding agents, workflows, and tools we actually use.
AI agents need real-world context to excel. Learn how RAG, MCP, and advanced search tools transform static models into dynamic, enterprise-ready systems.
Discover how AI agents can work as a research team—analyzing fundamentals, macros, and quant data—to deliver institutional-grade portfolio insights.
Google’s lightweight Gemma 3n model leads benchmarks with < 3GB of memory. HeyGen’s agent video team, new models from China, and Claude Code in your IDE.
Gemini 2.5 boosts AI agents with speed and scale — plus OpenAI’s and xAIs deals, Deepgram voice tech, meeting and video tools, and more updates.
From web scraping to code execution and database queries, explore 12 must-have tools that make AI agents smarter, faster, and production-ready.
Learn how to orchestrate multi-agent AI apps using the OpenAI Agents SDK. Features include guardrails, streaming, MCP tools, and dynamic workflows.
Learn how to connect MCP servers with your agents using Make.com, n8n, and CrewAI for scalable, production-ready multi-tool AI workflows.
Protect your AI agents from misuse and costly errors. Learn how to add input/output guardrails in the OpenAI Agents SDK for safer, cheaper workflows.
Google's, OpenAI's, and WindSurf's new coding agents. Overview of the CrewAI framework for building agent systems. Build MCP servers with no code.
