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DERA v1.0.0 — First Stable Release

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@krishanth7 krishanth7 released this 27 Oct 11:41
· 13 commits to main since this release
Immutable release. Only release title and notes can be modified.
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DERA v1.0.0 — First Stable Release

Understand Every Schema. Engineer Every Change.

DERA is an open-source initiative focused on deterministic database engineering, schema inspection, and reverse analysis.

Version 1.0.0 marks the project's first stable-release milestone, subject to final implementation, security, compatibility, and release qualification.

What's Included

Project Foundation

  • Structured repository architecture and development conventions.
  • Open-source contribution and community governance.
  • Maintainer and security documentation.
  • Established development workflows.

Developer Documentation

  • English documentation and multilingual project resources.
  • Architecture and contributor guidance.
  • Documentation validation and consistency checks.

Development Security and Quality

  • GitHub Actions continuous integration.
  • Pull request validation workflows.
  • CodeQL and dependency security checks.
  • Release qualification and recovery procedures.

Backend and Database Engineering

The stable release will include only the backend and database functionality verified as complete at the release commit. Planned capabilities include:

  • FastAPI application infrastructure.
  • Typed API contracts and error handling.
  • PostgreSQL platform persistence.
  • Authentication and workspace authorization.
  • Background job processing.
  • Logging, configuration, and observability.
  • Read-only database connector architecture.
  • PostgreSQL and Supabase PostgreSQL metadata inspection.

Any capability not passing final acceptance must be removed from this section before publication.

Design Principles

DERA is designed around:

  • Deterministic engineering operations.
  • Explicit, testable database metadata contracts.
  • Secure, read-only inspection of external databases.
  • Clear auditability and reproducible results.
  • No dependency on AI models, LLMs, or external AI APIs.

Installation and Getting Started

Refer to the repository README for the installation and development commands supported by this release.

Repository: https://github.com/krishanth7/dera

Security

Please report security vulnerabilities through the repository's documented security reporting process.

Do not disclose credentials, connection strings, private database metadata, or sensitive information in public issues.

Acknowledgments

Thank you to everyone contributing code, documentation, testing, reviews, and feedback to DERA.

Maintainer: Bunga Krishanth


DERA — Understand Every Schema. Engineer Every Change.