More validation, clearer runtime contracts, and better stage semantics reduce late surprises and avoidable rework.
Release Story
Last updated 2026-04-16
v4.0 to v4.5
Legacy2Lake Product Evolution
From stable modernization base to project intelligence.
Between v4.0 and v4.5, Legacy2Lake evolved from a solid modernization platform into a more explainable, auditable, and operational product. The shift is not just more technical generation. It is better decision support, stronger runtime clarity, better traceability, and a platform that is easier to trust in real delivery programs.
At a glance
What changed in business terms
Mode-aware refinement, manifest traceability, and explicit review paths make outputs easier to defend and audit.
Lifecycle validation, traceability review, and persistent assistant context support more mature program operations.
Version timeline
Key steps from v4.0 to v4.5
Cyan markers represent foundational and stability work; gold marks the reengineering MVP; orange marks the new intelligence layer.
v4.0 Foundation
Stable modernization base
Business summary baseline- Consolidated the full stage flow from Discovery through Handover into one connected operating model.
- Standardized prompt behavior and multi-tenant operating foundations to make execution more consistent.
- Established a robust base for scaling runtime quality, governance, and downstream delivery confidence.
v4.0.2 - v4.0.4
Stability and validation sprints
Reliability hardening- Consolidated prompt architecture around a canonical disk plus runtime database mirror and aligned active agent prompts.
- Executed real SSIS end-to-end validation across Agent A, Agent C, Agent F, and Agent G for direct generation paths.
- Improved phase landing consistency, refreshed help content, and added 59 automated tests for v4.0.3 lifecycle behavior.
v4.2
Drafting stability and prompt/cache hardening
Execution resilience- Fixed SSIS parser compatibility in topology orchestration so mixed parser interfaces no longer collapsed DAG shape.
- Normalized prompt resolution for direct PySpark and related cartridge paths to reduce lookup mismatches.
- Eliminated cache key collisions that could reuse transpilation results across different assets in the same run.
v4.3
Post-drafting execution modes clarified
Product semantics- Separated the three post-drafting paths into Drafting Delivery, Structured Refinement, and Intelligent Reengineering.
- Made UI, backend responses, and help content explicitly mode-aware so users understand what each path means.
- Improved handover clarity by making selected execution mode visible and traceable throughout the workflow.
v4.4
Intelligent reengineering MVP
Stable release- Introduced runtime mode-aware refinement behavior so intelligent reengineering is enforced by code, not only by prompt wording.
- Added consolidation rules, manifest traceability, and reengineering-aware metadata for more useful refinement outputs.
- Validated the full lifecycle from Triage to Handover and expanded frontend and prompt-consistency coverage to close DoD gaps.
v4.5
Project intelligence assistant and traceability review
Intelligence layer- Persisted assistant chat history by project thread so questions, answers, intent, and confidence survive across modal sessions.
- Added traceability review with preserved, inferred, changed, and unresolved status classification at asset and field level.
- Confirmed gap workspace continuity and strengthened the product direction toward visible readiness, executive summary, and evidence-based project support.
Why it matters
Impact for sponsors, operators, and delivery teams
Better runtime boundaries and validation coverage reduce manual cleanup near governance and handover.
Manifest traceability, mode-aware governance context, and traceability review shorten the distance from generation to review.
The product can explain not only what was generated, but what changed, why it changed, and how confident the team should be.
Mode semantics introduced in v4.3 / v4.4
v4.3 named the three modes; v4.4 made the runtime enforce them with consolidation rules and manifest traceability.
Traceability review badges (v4.5)
The element survived from legacy to target with the same intent.
Reasonable interpretation produced when the legacy was incomplete or implicit.
Deliberate adjustment introduced during reengineering with explicit rationale.
Open gap that still needs human decision before handover.
See it live
Use the changelog as the product story, then jump into the demos.
This page is meant to help prospects, stakeholders, and delivery leads understand how the product matured. The fastest next step is still to see the walkthroughs and then request a guided session.