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Adaptive Intelligence Toolkit progress tracker

This tracker keeps the Adaptive Intelligence Toolkit roadmap measurable after every follow-up PR. It is the quick answer for: how much did we achieve, what changed in the latest pass, what should the next PR do, and what follow-ups must stay on track?

Current progress snapshot

Scope Completed Total Progress Status
Immediate backlog 8 8 100% Immediate backlog complete; continue into Operational readiness/5 follow-ups.
Baseline readiness — Externalize the adaptive intelligence database 4 4 100% Built-in scenarios are data-backed and schema validated.
Release readiness — Close the learning loop 3 3 100% Learning records, summaries, promotion/exampletion, and calibration are active.
Platform readiness — Trust-grade operator experience 3 3 100% Operator brief, PR comment mode, and example gallery are complete.
Operational readiness — Safe remediation expansion 4 4 100% Safe-fix, assisted patch-plan, fix-audit records, and proof enforcement are in place.
Adoption readiness — Enterprise scale 3 3 100% Portfolio rollup, enterprise governance controls, and adapter hardening are complete.

Completed immediate-backlog items

Priority Completed item Proof surface
P0 Extract scenario DB to a schema-validated pack. src/sdetkit/data/adaptive_scenarios.json, schemas/adaptive-scenario-pack.schema.json, loader validation tests.
P0 Add learning event records for adaptive diagnosis. sdetkit adaptive learn record JSONL events.
P0 Add operator brief artifact. sdetkit adaptive brief with Markdown, JSON, and PR comment outputs.
P1 Add candidate confidence calibration. candidate_calibration=... evidence in adaptive diagnosis output.
P1 Add docs example gallery. docs/adaptive-product-proof-gallery.md with green, safe-fix, unknown-review, recurring-learning, and portfolio examples.
P1 Add fixture corpus for top scenarios. tests/fixtures/adaptive_logs/ plus parametrized coverage for 20 realistic adaptive failure logs.
P2 Add portfolio rollup. sdetkit adaptive portfolio-rollup with top-risk scenarios, recurrence by repo, and next owner action.
P2 Harden org-level pack overlay. Layer metadata, override approval validation, and governance docs for org/private scenario packs.

Remaining immediate-backlog items

All immediate backlog items are complete. Continue with the Operational readiness/5 follow-up queue below.

Latest progress made

The latest pass finalized the adaptive next wave by adding anonymized learning import validation and the hosted/managed readiness boundary. Operators can now reject unredacted cross-repo learning inputs, emit local calibration hints, and rely on documented local-only versus optional-managed data boundaries.

Next-wave progress snapshot

Scope Completed Total Progress Status
Adaptive next wave 5 5 100% Next-wave analytics, remediation policy, dashboard, anonymized import, and hosted readiness boundary are complete.

Latest next-wave completion

Completed PR: Finalize adaptive next-wave learning import and readiness boundary

Delivered: cross-repo anonymized learning import validation, privacy-safe calibration hints, and hosted/managed readiness boundary docs. The adaptive next wave is now complete at 5 / 5 items.

Validation commands:

  1. PYTHONPATH=src python -m pytest tests/test_adaptive_learning_import.py
  2. PYTHONPATH=src python -m pytest tests/test_docs_navigation.py tests/test_adaptive_learning_import.py tests/test_adaptive_dashboard.py tests/test_adaptive_enterprise_governance.py

Latest stabilization pass

Completed PR: Harden adaptive learning import privacy checks

Goal: keep the completed next-wave feature set stable through targeted redaction hardening rather than new hosted behavior.

Delivered:

  1. Learning import now rejects private URLs, hostnames, and email addresses in addition to raw paths/files.
  2. Regression tests cover the new operator feedback privacy examples.
  3. Hosted behavior remains out of scope until readiness controls are implemented and tested.

Follow-up PR queue

Order Suggested PR Target progress impact Notes
1 Continue adaptive next-wave operator feedback hardening. Maintains 100% completion. Bug fixes, redaction examples, and docs polish for completed local-only adaptive lanes.

Operating rule for future updates

Every Adaptive Intelligence follow-up PR should update this file with:

  1. progress percentage after the PR,
  2. what was completed in that pass,
  3. the recommended next PR,
  4. remaining follow-ups and risk notes,
  5. the exact commands used to validate the update.