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AtomLane v0.11.0 — Safe Python Parallel Refactors

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@cloudguo123 cloudguo123 released this 01 Sep 01:03
· 28 commits to main since this release

AtomLane now adds a bounded, non-executing Python parallelization advisor for long-running ordered-map workloads.

Highlights:

  • Conservative dependency, effect, GIL/native, macOS spawn, resource, and benefit analysis
  • Source-hash-bound review previews for the narrow proven-safe CPU subset
  • Advisory routing for read I/O, network, subprocess, and native-owned work
  • New optimize-python-parallelism skill and MCP tool
  • Pre-parse token and line budgets that bound AST construction memory
  • Public visual evidence: 113/113 tests and 7/7 release gates
  • Retained five-minute benchmark evidence with live progress and measured savings

The advisor never imports, executes, or modifies analyzed target modules. Rewrite previews remain review-only and require runtime differential validation before performance claims.