70 articles
Your coding agent can write the code. With Railway's official MCP server it can ship it too: create the project, deploy the service, assign a domain, tweak variables, and read logs, all as tool calls. The complete one-hour build.
MCP just became stateless, which means your own MCP server is now just an HTTP endpoint that deploys like any web service. Build one with an agent, deploy it on Railway, and point opencode or Claude Code at the public URL. The full build, start to finish.
Cloudflare shipped Radar Researcher, a natural-language agent that answers questions about global internet traffic with real interactive charts. The architecture - MCP code mode, chart specs that never let the model touch raw numbers, and a three-model fallback chain - is the interesting part for developers.
Vercel, OpenAI, GitHub, Microsoft, AWS, and Cursor collaborated on Agent Plugins 1.0.0, an open standard that packages Agent Skills and MCP servers into one portable plugin. ChatGPT, Codex, Cursor, GitHub Copilot, Kiro, and VS Code load the format on day one.
MCP just dropped sessions entirely. Every request is now one self-contained POST. Here is what changed in the 2026-07-28 spec and a Bun + Hono pattern for hosting many MCP servers on a single process.
Vercel MCP now serves both the stateless 2026-07-28 protocol and the 2025 protocol from one endpoint, with mcp-handler 2.x handling the negotiation. The first major hosted MCP server has crossed over - here is what it means for server authors and clients.
MCP Apps shipped with the 2026-07-28 final spec - sandboxed interactive UIs for MCP servers. How they compare to standard tool calling and standalone web UIs, and when to use each approach.
MCP gives an agent live access to tools and data. Agent Skills give it packaged procedure. They solve different halves of the same problem, and the MCP working group is now standardizing how skills ship over MCP. Here is the decision rule.
The late-July Codex and Claude Code updates point in the same direction: coding agents are competing on approval modes, resumable work, MCP auth, artifacts, and review surfaces as much as raw model quality.
A practical comparison of the four authentication platforms developers reach for when connecting AI agents to third-party APIs: Arcade, Composio, Nango, and Stytch. OAuth 2.1, MCP support, integration counts, and which to pick by workload.
The DataFlow-Harness paper is a useful reminder that coding agents should not just emit scripts. For data work, the durable artifact is an editable, validated pipeline.
Claude Code, Claude Desktop, Cursor, VS Code, Zed, and opencode all speak MCP differently. Here is how their transport, auth, and tool-limit support compares.
Apple's Safari MCP server lets AI coding agents inspect pages, capture screenshots, evaluate JavaScript, and run accessibility checks directly in Safari. Complete setup guide with installation, available tools, and practical workflows.
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