Sprint 09 Release Notes
Table of Contents
January 2026
This sprint focused on establishing a robust data management infrastructure, including secure connection handling, database schema standardization, and a comprehensive data quality framework.
✅ Highlights
- New Connection Management System: Introduced
ores.connectionsto manage server environments with AES-256-GCM encrypted credential storage. - Database Schema Standardisation: Implemented a strict component-prefixed naming convention across the entire SQL schema for improved maintainability.
- Data Quality & Provenance Framework: Established a metadata-driven approach to track data lineage, classification (Synthetic vs. Real), and temporal context.
- Security Centralization: Created a dedicated
ores.securitymodule to house shared cryptographic primitives and RAII-based OpenSSL wrappers.
🛠️ Key Improvements
Architecture & Security
- Security Module: Extracted security logic from IAM and Connections into
ores.security. Applied RAII patterns to OpenSSL cipher contexts (std::unique_ptr) to eliminate memory leaks. - Component Renaming: Renamed
ores.risktoores.refdatato better align the component name with its actual responsibility of reference data management. - PR Management: Consolidated the PR lifecycle into a new
pr-managerskill, automating summaries, draft creation, and CI monitoring.
Database & Data Management
- Namespace Prefixes: Prefixed all database entities with component names (e.g.,
iam_,refdata_,assets_) and standardized suffixes (e.g.,_tbl,_fn). - Data Quality Integration: Implemented "Data Passports" to track the Who, What, Where, When, and Why of datasets, supporting bi-temporal reasoning and lineage DAGs.
- CLI Expansion: Added administrative CLI commands for managing roles, permissions, and geographic data with standardized JSON/Table output formats.
UI & UX (Qt)
- Connection Browser: Added a new MDI window for hierarchical management of server connections and folders.
- Secure Login: Integrated master password support and auto-fill capabilities for saved environments.
- Prodigy Multi-environment Support: Updated Prodigy to allow running services across multiple environments (e.g., different LLM instances) within a single buffer.
⚠️ Known Issues & Postponed
- * Implement party related entities at database level*: Analysis done but actual implementation to start next sprint.
- Refactor documentation: Started to improve skills and domain documentation, more work to follow as we get into domain concepts.
📊 Time Summary
- Total effort: 79h 41m
- Effort distribution: Code: 73.1% | Infra: 23.2% | Agile: 3.7%
- Top tasks: UI support for data sets (19h 18m), OCR scan notebooks (11h 31m), Implement data quality (9h 42m).
Next sprint: Focus will shift to moving over to core ref data entities
📊 Time Summary
- Total effort: not tracked
- PRs merged: not tracked
- Sprint duration: 2026-01-11 → 2026-01-20
Next sprint: Sprint 10.