Cursor’s cloud-agent adoption grew after it treated the dev environment as agent infrastructure: Linux parity, one discoverable CLI, end-to-end testing, and automated repair.FEED7 SUMMARY
Gemini Managed Agents now add model selection, sandbox hooks, token caps, schedules, and free-tier access, covering several controls needed for unattended coding work.FEED7 SUMMARY
AI Gateway’s dedicated logs expose per-request cost, tokens, latency, routing, and provider fallbacks, making agent failures and spend anomalies easier to trace.FEED7 SUMMARY
Vercel Sandbox can now isolate agents as Linux users while exposing selected files through a shared group directory. This gives multi-agent harnesses a simpler permission boundary.FEED7 SUMMARY
Change2Task converts merged PR history into executable coding-agent tasks on current repository states. It could expand continuous eval sets while reducing stale environments and repeated setup.FEED7 SUMMARY
Two API settings—reasoning retention and compaction—reportedly tripled GPT-5.6’s ARC-AGI-3 score. Agent evals should treat runtime configuration as part of the tested system.FEED7 SUMMARY
How GPT-5.6 fuses frontier intelligence with frontier efficiency. The supplied material offers no prices, benchmarks, latency, or task-level evidence to guide a routing or migration decision.
# feed7 Weekly #004 — Context
Use this for: preparing an agent-workflow planning session
- How we set up our cloud agent environment (Cursor, official source)
- Gemini API Managed Agents: 3.6 Flash, hooks, and more (Google, official source)
- AI Gateway logs now have a dedicated page (Vercel, official source)