JIT alternatives
Curated alternatives to JIT — and why you'd switch.
sia
Self-improving loop from the SIA paper: Meta, Target and Feedback agents evolve a task agent's harness AND weights against a benchmark — #1 on MLE-Bench Hard, 14x kernel speedups.
Why switchBoth come from the 'improve the harness, not just the model' line of work. SIA's Meta/Target/Feedback loop evolves a task agent's harness and weights over time; JIT-Agent generates a fresh harness per task at test time and keeps the generator frozen.
Full comparison →agentic-context-engine
Learning loop for any agent: reflect on failures, distill strategies into a Skillbook, inject them next run — 2x consistency on Tau2, 49% token cuts. LiteLLM-based, 100+ providers.
Why switchBoth learn from failures between runs. ACE distils strategies into a Skillbook injected into the next prompt; JIT-Agent rewrites the scaffold itself — memory, planning, action modules — from the traces.
Full comparison →