Active research areas driving the Mindaeon autonomous SDLC platform.
Exploring cooperative agent architectures where determinism is enforced at the orchestration layer. Agents communicate via directed acyclic graphs with cross-validation at every boundary, ensuring reproducible execution paths regardless of model variance.
Defining formal frameworks for bounding AI generation within organizational policy constraints. Research into policy engines that enforce regulatory templates, dependency allowlists, and deployment guardrails at generation time.
Methods for eliminating AI hallucination by grounding all generation in formal specifications. Outputs that cannot satisfy specification constraints are rejected before entering the validation pipeline.
Architecture patterns for deploying autonomous SDLC systems across cloud, on-premise, and air-gapped environments with enterprise isolation, multi-tenancy, and horizontal scaling guarantees.
Integrating security-first principles into autonomous software development pipelines. Research into automated vulnerability detection, SBOM generation, and continuous compliance verification.