Anthropic Bets on Agent Ecosystem Over Walled Garden
Training Data (Sequoia) · rss · 2026-07-14
Anthropic's Katelyn Lesse and Angela Jiang discuss building an ecosystem rather than a "walled garden," where external developers and Anthropic's own products build on the same developer platform.
They abstract the platform into three layers: knowledge, execution, and coordination. The real leverage lies in the top "strategies" layer—a meta-orchestration mechanism where tokens take on different roles like suggesting, executing, reflecting, or remembering. They also mention partnering with Modal, Vercel, and Cloudflare for self-hosted sandboxes, emphasizing the importance of standardized connectors and MCP specs.
A key stance is their willingness to open up capabilities like skills and MCP to the entire industry, allowing Claude and non-Claude agents to interconnect. However, model routing remains closed, as they believe harnesses are best tuned for a single model family rather than generalizing across models.
More from coding & agent
- Coding agents are heading toward an AI-writes, AI-reviews, human-approves workflow — aftahi_ai · 2026-07-22
- Claude Desktop can now learn a task from your screen recording and turn it into a skill — reach_vb · 2026-07-22
- oMLX 0.5.2 adds Mac menu-bar stats, low-bit decode kernels, and faster downloads — awnihannun · 2026-07-22
- GitHub review bot hits its PR limit and forces a 39-minute cooldown — DanielLockyer · 2026-07-22
- Max reasoning effort appears to be mobile-only in Codex Remote, not desktop — GabGarrett · 2026-07-22
- A Reddit demo argues online stores should expose carts and pricing through MCP — gelembjuk · 2026-07-22