Runway launched a hosted Dev MCP at dev.runwayml.com/mcp so coding agents can connect and approve to pick models, wire a Model Router, and debug failed generations without tab-hopping docs. The company post Introducing Runway Dev MCP is live.
Developer @divid_lu49394 highlighted Tencent’s open-source TeamAI CLI (github.com/Tencent/teamai-cli): one Git repo for Skills, Rules, Hooks, and MCP configs across Claude Code, Codex, Cursor, and WorkBuddy—auto-writing each tool’s native paths, pulling latest on session start, with knowledge-base reuse and MR review sync.
An AWS Machine Learning blog covers hosting coding agents on Amazon Bedrock AgentCore Runtime: each session gets a Firecracker microVM, /mnt/workspace survives idle, agentcore exec --it provides a real PTY, and Gateway MCP keeps GitHub/Jira tokens out of the VM. Run Claude Code, Codex, Kiro, and Cursor in isolation without localhost port fights.
Telemetry (@telemetrydev) launched an open-source instrumentation stack (github.com/telemetry-dev/telemetry) for coding agents—Cursor, Codex, Claude Code, pi, omp, and OpenCode—using OpenTelemetry to track tokens, cost, latency, and errors.
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