On Programming with Agents - Zed Blog
The way we build software at Zed is changing. Over the past several months, more of our team has started working with AI agents as part of our daily workflow. It's moving fast: new models, new capabilities, new patterns emerging week by week. Everyone is learning. I've been diving deep into this shift, iterating on how to use agents effectively and sharing what works (and what doesn't) with the te
My LLM coding workflow going into 2026
AI coding assistants became game-changers this year, but harnessing them effectively takes skill and structure. These tools dramatically increased what LLMs can do for real-world coding, and many developers (myself included) embraced them. At Anthropic, for example, engineers adopted Claude Code so heavily that today ~90% of the code for Claude Code is written by Claude Code itself. Yet, using LLM
The second wave of MCP: Building for LLMs, not developers - Vercel
When the MCP standard first launched, many teams rushed to ship something. Many servers ended up as thin wrappers around existing APIs with minimal changes. A quick way to say "we support MCP". At the time, this made sense. MCP was new, teams wanted to get something out quickly, and the obvious approach was mirroring existing API structures. Why reinvent when you could repackage? But the problem w
In the Matter of OpenAI vs LangGraph
Quick reminder: AI Engineer CFPs close soon! Take a look at “undervalued tracks” like Computer Use, Voice, and Reasoning, and apply via our CFP MCP (talks OR workshops, we’ll figure it out). Relevant to today’s quick post we do have an Agent Reliability track. Also: take the 2025 State of AI Engineering Survey! The AI attention economy has enabled a hypeboi priesthood who exist in a state of perpe
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