Agent-estimate

v0.2.0 Feature

This release adds 6 notable features for engineering teams evaluating rollout.

Published 3mo AI Agents & Assistants

✓ No known CVEs patched

✓ No known CVEs patched in this version

Topics

ai-agents claude-code cli developer-tools effort-estimation estimation

+5 more

metr multi-agent pert python wave-planning

Summary

AI summary

Review overhead model switched to additive tiers with new auto-tiering heuristics.

Full changelog

Review overhead model is now additive (0m / 15m / 25m) instead of percentage-based. ReviewMode values: none, standard, complex. Legacy self and 2x-lgtm still accepted for backwards compatibility. (#46)

Tier auto-correction heuristics: auto-upgrades to L when scope signals exceed thresholds (tests > 20, lines > 200, concerns >= 3) and auto-downgrades to XS for trivial tasks. --no-auto-tier flag to disable. (#47)
Co-dispatch warm context: when 2+ tasks target the same agent in one wave, auto-applies 0.5x warm context duration reduction to tasks beyond the first. (#48)
Modifier product floor of 0.10 to prevent sub-10m pathology when modifiers stack aggressively. (#50)
Batch wave estimation: amortizes review overhead across same-agent tasks per wave. (#49)
Non-coding task type estimation: --type flag for brainstorm, research, config, and documentation tasks with category-specific models. (#55)
Multi-agent session estimation: agent-estimate session subcommand for coordinated workflows. (#56)

11 post-LGTM nits: fractional minute rounding, deterministic wave tie-breaking, tightened keyword patterns, parallel efficiency calculation, and JSON report completeness. (#63)

Full Changelog: https://github.com/haoranc/agent-estimate/compare/v0.1.0...v0.2.0

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