ABSORB v0.1.0 (draft)

First public draft of ABSORB (Agentic Bottleneck, Speed & Output Readiness Baseline): a diagnostic for whether an organization can turn faster AI-driven coding into faster, safer delivery.

Status: draft v0.1. A proposed framework, not a validated standard. Levels, tiers and thresholds are proposals. VALIDATION.md states in advance what would count as evidence against them.

What's included

• SPEC.md covers the method, eight dimensions, maturity levels 0–4 and autonomy tiers T0–T3. Its sources table records how each figure was checked.
• assessment/index.html is an offline self-assessment with 24 statements, stage timing split into hands-on time and waiting, a whole-path speedup check, and tier readiness. It makes no network requests.
• VALIDATION.md lists eight hypotheses with falsification criteria and four study designs.
• PRIOR_ART.md explains how ABSORB relates to DORA 2025 and other readiness frameworks. The "AI as amplifier" thesis is DORA's. ABSORB adds the stage-timing speedup check, the evidence-based autonomy tiers and a falsifiable instrument.
• case-studies/TEMPLATE.md is a template for documenting an application. Critique and case studies are invited.

See CHANGELOG.md for details. Drafted with AI assistance (Claude).