You can bring human approval and remote control to the agent harnesses you use.
@dexhorthy · 2026-10-04 · agents, humanlayer, pi, opencode
These concrete controls can help manage costs across the reader’s own agent platform and coding workflows.
@hwchase17 · 2026-10-04 · coding-agents, cost-optimization, observability, model-routing
A reusable pattern for giving agents a stateful, extensible runtime instead of brittle shell workflows.
@GeoffreyHuntley · 2026-10-05 · agents, lisp, repl, tooling
Measure latency and model calls alongside token savings before tuning context compaction in your agents.
@omarsar0 · 2026-10-04 · context-engineering, agents, inference-cost, benchmarks
The results suggest where to spend inference budget to improve shell-agent success without sampling full trajectories.
@dair_ai · 2026-10-04 · terminal-agents, verification, test-time-compute, inference
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