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Control AI-assisted software development

Software development is one validated process domain where SDD keeps generated code aligned with requirements, specifications, architecture, tests, and evidence.

AI agents such as Codex and Claude can generate large amounts of code, but they lose project context between sessions. SDD maintains persistent and interconnected structured memory so agents operate with consistent intent and traceable engineering decisions.

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Works with GitHub, Jira, Azure DevOps, Polarion and enterprise delivery systems.

Requirements → Specifications → Issues → Code → Evidence

All linked through SDD memory.

AI coding creates a new problem: context loss

AI tools generate code quickly, but every session loses the reasoning behind previous decisions. Requirements, specifications, issues, and implementation drift apart.

  • AI output becomes isolated artifacts
  • Architecture intent disappears between sessions
  • Requirements and implementation lose alignment
  • Traceability required for audits becomes fragile

SDD introduces persistent project memory

SDD maintains a structured project context linking requirements, specifications, issues, architecture decisions, and generated code. AI agents operate inside this persistent context instead of generating isolated results.

Persistent Specification Memory

Requirements, specifications, issues, and decisions remain linked across AI sessions.

AI Execution Framework

Agents such as Codex and Claude execute development tasks with full project context.

Audit-Ready Traceability

Artifacts remain linked from requirement to validation evidence.

Connect your entire engineering toolchain

SDD connects to the systems that already contain your delivery information.

GitHub Jira Azure DevOps Polarion Enterprise knowledge bases

SDD becomes the central project memory layer across your engineering environment.

Without persistent specification memory

  • Context rebuilt every AI session
  • Engineering intent lost
  • Documentation diverges from implementation
  • Traceability becomes manual work

With SDD

  • Requirements, specs, issues and tests remain linked
  • AI agents reuse structured project knowledge
  • Architecture intent persists
  • Audit readiness is maintained continuously

Bring control to AI-assisted software development

This software-development view is one part of SDD: the broader platform controls validated processes from intent to evidence.

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