codeburn Parallelizes Its Cold Parse and Gates Workers on Available Memory, Not Free Memory

GitHub·medium signalXBlueskyLinkedInCopy link

getagentseal/codeburn (9,439 stars), the local tracker for AI coding token usage across 37 tools and agents, merged PRs #1008–#1010 on 2026-08-17 parallelizing the cold rollout parse onto a worker pool — first for its own format, then for Codex rollouts on the same pool — exposed via a new CODEBURN_PARSE_WORKERS setting. The detail worth stealing: workers are gated on *available* memory rather than free memory, and the per-worker budget is sized per parse against pending bytes, with tests pinning worker policy, ordering and determinism. Cold-start parse time is the main friction in local agent-cost observability, and this is a concrete fix rather than a bigger cache.