Core Architecture
Agentic Software Engineering Platforms for AI-native development
A comprehensive suite of tools built to establish, govern, and synchronize the Single Source of Truth for software systems, featuring the Engineering SSOT (ESSOT) and Softfact App.
Softfact AI Architecture Platform
The upstream AI-native platform that translates software intent into traceable, cross-consistent engineering artifacts.
AI Architecture Engine
Transforms informal software intent, requirements, and constraints into a production-grade, traceable set of engineering artifacts including SRDs, ADRs, Technical Specifications, and Test Specifications.
- Multi-agent system with specialized roles (Requirements, Tech, Decision, Spec).
- Integrates with OpenRouter API for dynamic LLM routing.
- Explicit human review (approve, reject, edit) for all AI-generated decisions.
Visual Modeling & C4/UML
Automatically generates C4 Architecture Models (Context, Container, Component) and comprehensive UML models (Class, Sequence, Activity, State) directly from technical specifications.
- C4 context, container, and component diagram generation.
- Detailed UML sequence, activity, and class diagrams.
- Models are fully traceable to requirements and technical specifications.
Artifact Consistency Validation
Executes cross-artifact validation to detect contradictions, ensuring the entire artifact system is perfectly coherent before downstream handover to implementation teams or the ESSOT.
- Detects contradictions across SRDs, ADRs, and Technical Specs.
- Maintains a machine-readable Artifact Relationship Graph.
- Prevents hallucination by grounding generation in the artifact graph.
Seamless ESSOT Handoff
Exports a structured Softfact Artifact Package formatted exclusively in Markdown and YAML, fully primed for ingestion by the Engineering SSOT to drive ongoing engineering operations.
- Export exclusively in standard Markdown and YAML formats.
- Maintains independent artifact versioning and provenance.
- SOC2 Compliant secure processing with AES-256 encryption.
Engineering SSOT
The downstream intelligence layer that ingests, manages, and synchronizes the SSOT.
Engineering SSOT Engine
Creates, manages, versions, and maintains the authoritative engineering knowledge repository. The Engineering SSOT Engine addresses the Engineering Knowledge Crisis by consolidating requirements, architecture, decisions, APIs, tasks, tests, and their relationships into a single source of truth.
- Import engineering artifacts in Markdown and YAML formats.
- Version-control all Engineering SSOT artifacts with complete metadata.
- Maintain traceability relationships between requirements, architecture, and implementation.
Knowledge Graph Engine
Maintains and queries relationships between all engineering artifacts in the SSOT. Automatically generates a knowledge graph from imported engineering artifacts, enabling dependency discovery and graph traversal queries.
- Automatic knowledge graph generation from engineering artifacts.
- Dependency discovery for upstream and downstream relationships.
- Graph traversal queries to navigate artifact relationships.
Knowledge Validation Engine
Automatically validates the SSOT to detect contradictions, architectural violations, and missing requirements. It computes a numeric knowledge health score to maintain high engineering standards.
- Validate SSOT completeness and consistency (detecting contradictions).
- Detect requirement, ADR, and implementation conflicts.
- Detect architectural violations and compute a knowledge health score (0-100).
Planning Engine
Generates and manages engineering plans using the Engineering SSOT as input. Creates Implementation Plans, Task Plans, and Test Plans with full traceability to originating SSOT artifacts.
- Generate Implementation Plans from requirements and architecture.
- Create Task Plans with descriptions, acceptance criteria, and dependencies.
- Support plan approval workflows for human review.
Agent Orchestration Engine
Creates and manages project-specific AI agents, each receiving only the knowledge relevant to its role. Supports Developer, Architecture, Review, Testing, Documentation, and Security agents with role-based knowledge access.
- Project-specific AI agents with role-based knowledge access.
- Assemble role-specific, least-privilege project context for AI agents.
- All agent interactions logged for audit and traceability.
Synchronization Engine
Detects and manages drift between the Engineering SSOT and implementation artifacts. Performs drift detection, generates drift reports, and suggests updates to resolve inconsistencies.
- Detect drift between SSOT, imported repositories, and documentation.
- Generate drift reports with severity and recommended actions.
- Track synchronization history with timestamps and results.
STQE Engine
Measures translation quality, implementation completeness, task quality, and architecture compliance. Computes aggregate STQE scores and tracks historical trends.
- Measure implementation completeness and architecture compliance.
- Compute aggregate STQE score (0-100) and track historical trends.
- Produce actionable translation quality reports.
Search & Reasoning Engine
Provides semantic search and natural language queries across all engineering artifacts. It can answer questions like "What breaks if UserService changes?" with full reasoning explanations.
- Semantic search and natural language queries across the SSOT.
- Root cause analysis and impact analysis for proposed modifications.
- Query result explanations with direct artifact citations.
➔ Affected: AuthController.ts
➔ Affected: api-spec.yaml
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