Tag
Lightning Orchestrator is an agent skill that uses fast subagents (SWE-1.7 Lightning) for implementation, achieving ~5x faster execution while keeping a frontier model as planner and reviewer. It works with Devin and supports parallel execution for larger tasks.
A practical tip from Simon Willison: allow Claude Code's Fable model to use its own judgment for testing and delegate coding tasks to subagents running cheaper models, reducing token usage while maintaining quality.
This is the sixth article in the series, explaining in detail the concept of subagent, its working principles, and its role in coding agents, including tool call and runtime mechanisms, as well as the applicable scenarios of different subagent types (fresh child, forked child, partial fork).
Microsoft released FastContext-1.0, a lightweight repository-exploration subagent for LLM coding agents that reduces main-agent token consumption by up to 60% while improving resolution rates by up to 5.5%.
A developer shares their workflow using Cursor's subagent harness with Opus 4.8 Max Thinking for long context understanding and implementing large features in Swift, emphasizing hands-on planning and phased acceptance testing.
Released physics-intern, a simple harness that significantly boosts the performance of reasoning models like Gemini 3.1 Pro on science problems, from 17.7 to 31.4, outperforming GPT 5.5 Pro.