AtomLane v0.11.0 — Safe Python Parallel Refactors
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.