{ "schema_version": "1.1", "id": "atlas-subagents", "slug": "subagents", "title": "Subagents", "url": "https://feed7.dev/atlas/subagents", "current_answer": null, "implementation_consequence": null, "agent_context": null, "confidence": "auto_collected", "last_verified": null, "last_updated": null, "evidence": [ { "schema_version": "1.1", "id": "p1", "slug": "claude-code-subagents", "url": "https://feed7.dev/p/claude-code-subagents", "title": "Claude Code ships subagents in isolated context windows", "why_included": "Long refactors no longer pollute the parent context — a child agent does the noisy work and reports back.", "summary": "Subagents get their own context window and a clean handoff contract. The parent session receives only the result summary and the list of touched files.", "practical_implication": "Fewer derailed sessions on big tasks. Route any task over ~20 file edits to a subagent and keep your planning context clean.", "agent_context": "Claude Code subagents run in isolated context. Use them for long refactors and research sweeps: the parent stays clean while a child does the noisy work, then reports which files remain. Prefer for tasks >20 file edits.", "source": { "name": "Anthropic", "url": "https://www.anthropic.com/engineering/claude-code-subagents", "published_at": "2026-07-02T00:00:00.000Z" }, "source_class": "blog_post", "content_type": "Official Release", "layer": "tools", "domains": [ "coding" ], "topics": [ "subagents", "coding-agents" ], "verification": { "status": "official_source", "label": "Official Source", "method": "source_feed", "verified_at": null }, "uncertainty": [], "connected_context": null, "lifecycle": "New", "published_at": "2026-07-02T00:00:00.000Z", "modified_at": "2026-07-02T00:00:00.000Z", "supersedes": [], "expires_at": null, "formats": { "html": "https://feed7.dev/p/claude-code-subagents", "json": "https://feed7.dev/p/claude-code-subagents.json", "markdown": "https://feed7.dev/p/claude-code-subagents.md" } }, { "schema_version": "1.1", "id": "auto-32d427eb72", "slug": "agent-swarms-and-the-new-model-economics-32d427eb72", "url": "https://feed7.dev/p/agent-swarms-and-the-new-model-economics-32d427eb72", "title": "Agent swarms and the new model economics", "why_included": "Use a strong planner with bounded cheaper workers, separate contexts, shared decisions, and independent review lenses.", "summary": "Cursor’s SQLite experiment suggests swarm harness design can matter more than model mix: separate planner and worker contexts reduced coordination churn while cheaper workers handled most tokens.", "practical_implication": "For large agent runs, reserve frontier models for decomposition and decisions, then give bounded implementation work to cheaper workers. Separate their contexts, record shared design decisions, delegate conflict resolution, limit oversized files, and stack independent review lenses.", "agent_context": "Cursor’s new planner-worker swarm reached **73%–85%** of a held-out SQLite test suite within four hours, and every new configuration later reached **100%**. Similar quality across model mixes cost from **$1,339 to $10,565**.\n\nFor large agent runs, reserve frontier models for decomposition and decisions, then give bounded implementation work to cheaper workers. Separate their contexts, record shared design decisions, delegate conflict resolution, limit oversized files, and stack independent review lenses.\n\nThis was a controlled but unusual SQLite reimplementation with no source, binary, tests, or internet available to agents. Cursor tested four configurations rather than the full planner-worker matrix, and workers consumed at least **69% of tokens**, so workload shape will strongly affect the economics.", "source": { "name": "Cursor", "url": "https://cursor.com/blog/agent-swarm-model-economics", "published_at": "2026-07-20T00:00:00.000Z" }, "source_class": "blog_post", "content_type": "Engineering Post", "layer": "agent", "domains": [ "coding" ], "topics": [ "multi-agent", "harness-engineering", "subagents" ], "verification": { "status": "official_source", "label": "Official Source", "method": "source_feed", "verified_at": null }, "uncertainty": [], "connected_context": null, "lifecycle": "New", "published_at": "2026-07-20T00:00:00.000Z", "modified_at": "2026-07-20T00:00:00.000Z", "supersedes": [], "expires_at": null, "formats": { "html": "https://feed7.dev/p/agent-swarms-and-the-new-model-economics-32d427eb72", "json": "https://feed7.dev/p/agent-swarms-and-the-new-model-economics-32d427eb72.json", "markdown": "https://feed7.dev/p/agent-swarms-and-the-new-model-economics-32d427eb72.md" } } ], "conflicting_sources": [], "superseded_claims": [], "corpus_evidence": [ { "title": "Your Finance Agent's Bottleneck Is You — Ramana Siddanth Emani, Auditoria AI", "url": "https://www.youtube.com/watch?v=z0sh8HyTrDo", "source_name": "AI Engineer", "published_at": "2026-07-30T03:00:06+00:00", "summary": "Production agent velocity depends less on model swaps than on automating the developer loop: isolate parallel work, encode workflows as skills, connect tools, and keep humans as verifiers." }, { "title": "Why We Killed Our Multi-Agent Pipeline — Subbiah Sethuraman and Abhilash Asokan, ZS Associates", "url": "https://www.youtube.com/watch?v=u6jJcIFDLE4", "source_name": "AI Engineer", "published_at": "2026-07-23T05:00:02+00:00", "summary": "A fixed chain of specialist agents lost context and produced incoherent recommendations. The replacement separates deterministic detection, gives one agent end-to-end ownership, and uses subagents only for bounded investigations." }, { "title": "Gemini 3.6 Flash and Gemini 3.5 Flash-Lite are now available on AI Gateway", "url": "https://vercel.com/changelog/gemini-3-6-flash-3-5-flash-lite-on-ai-gateway", "source_name": "Vercel", "published_at": "2026-07-21T00:00:00+00:00", "summary": "Vercel AI Gateway added Gemini 3.6 Flash for coding and web work and Gemini 3.5 Flash-Lite for scoped subagent tasks, both available through AI SDK model IDs." }, { "title": "Muse Spark 1.1 is now available on AI Gateway", "url": "https://vercel.com/changelog/muse-spark-1-1-is-now-available-on-ai-gateway", "source_name": null, "published_at": null, "summary": "Muse Spark 1.1 gives agent builders a 1M-token multimodal model with parallel tool calls, MCP support, and the option to run as a main agent or subagent." } ] }