Platform Documentation

How Code Singularity Works

Everything under the hood — from how agents coordinate across the pipeline to what ships on day one and how the platform operates after go-live.

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On this page
01The Delivery Pipeline 02Agent Architecture 03What Gets Delivered 04AI-Native Operations 05Legacy Modernisation
01 — The Delivery Pipeline

From conversation to production — every stage, every artifact.

Code Singularity runs a structured five-stage pipeline. Each stage is owned by a specialist agent team. Nothing moves forward until the current stage is complete and validated. Here's what happens at each step.

STAGE 01
BA Agents

Think

Multi-session conversations to fully capture business requirements before any design begins.
Artifacts Produced
Business Requirements Document
Product Requirements Document
User personas & use cases
Stakeholder sign-off
→
STAGE 02
Arch Agents

Design

System architecture, data models, API contracts, and access control designed from the confirmed PRD.
Artifacts Produced
Low-Level Design document
Entity-relationship model
API contract specifications
RBAC / access control matrix
→
STAGE 03
Dev + QA

Build

Full-stack code generation and quality gating — backend, frontend, database, and tests generated together.
Artifacts Produced
Java / Spring Boot backend
Angular + React frontend
Database schema + migrations
Unit + integration test suite
→
STAGE 04
DevOps Agents

Deploy

Infrastructure provisioned and application deployed through a hardened CI/CD pipeline — security gates at every stage.
Artifacts Produced
Kubernetes manifests + Helm charts
Terraform / IaC templates
CI/CD pipelines
SAST, License and container reports
→
STAGE 05
Sentinel AI

Operate

AI-native operational layer monitors, investigates, and resolves post-deployment — autonomously or conversationally.
Continuous Outputs
Real-time RCA reports
Auto-remediation actions
SIEM integrated logs
Observability dashboards
🔒Gate: Stakeholder sign-off required before Stage 02
✅Gate: Architecture review before code generation
🧪Gate: All tests pass + SonarQube quality threshold
🛡️Gate: OWASP scan + security approval before production
♾️Continuous: Sentinel monitors from first deployment onwards
02 — Agent Architecture

A coordinated team — not a single model doing everything.

Each agent team operates within a defined domain. They consume specific inputs, produce specific artifacts, and validate against defined criteria before handing off. Here's how the coordination model works.

Agent
Consumes
Produces
Validates Before Handoff

Business Analyst Agents

Triggered by: Initial conversation
Consumes
Stakeholder conversations
Business domain context
Existing process documentation
Produces
Business Requirements Document
Product Requirements Document
User personas and use cases
Validates Before Handoff
Full use case coverage confirmed
Stakeholder sign-off received
No ambiguous requirements remain

Product & Architecture Agents

Triggered by: Confirmed PRD
Consumes
Confirmed BRD and PRD
User personas and access levels
Integration requirements
Produces
Low-Level Design document
Entity-relationship model
API contracts (OpenAPI spec)
RBAC / ABAC access matrix
Validates Before Handoff
All entities and relationships mapped
Security model reviewed
Architecture review completed

Development Teams

Triggered by: Approved LLD
Consumes
Low-Level Design document
API contract specifications
Data model and schema
Produces
Java / Spring Boot backend services
Angular + React frontend modules
Database migrations and seeds
All 6 enterprise layers wired in
Validates Before Handoff
Code compiles and runs clean
All API contracts implemented
Security layers enforced

QA Agents

Triggered by: Code complete
Consumes
Generated codebase
Use cases from PRD
API contract specs
Produces
Unit test suite (JUnit / Jest)
Integration test suite
SonarQube quality report
Test coverage report
Validates Before Handoff
All test suites pass
Coverage threshold met
SonarQube quality gate green

DevOps & Infrastructure Agents

Triggered by: QA sign-off
Consumes
Validated codebase + test reports
Cloud target configuration
Security and compliance requirements
Produces
Kubernetes manifests + Helm charts
Terraform IaC (AWS / Azure / GCP)
CI/CD Pipelines
SAST, License and container reports
Validates Before Handoff
OWASP scan passes
Container image scan clean
Staging environment validated
03 — What Gets Delivered

Every layer of a production enterprise application — in one output.

The architecture diagram below shows every component that ships with a generated application. Below it: the file structure your team inherits, and the CI/CD pipeline stages it runs through before it reaches production.

Governance
Audit Compliance Logging Activity Privacy Policy Consent
Security & Access
API Gateway Threat Protection Identity & SSO Access Control Session Management Policy Engine (OPA) Secrets Management Encryption AI Guardrails
Runtime Engine
Transaction Management Rule Engine Request Validation Error Management Multi-Language Support Row-Level Data Isolation
Core Application
UI Layer
Angular · React · Component Library
Business Logic
Domain services · BPMN Workflows · Process orchestration
Data Layer
MySQL · JPA/Hibernate · Redis Cache
Platform Services
Workflow Engine (BPMN) Knowledge Graph Search & Index Document Management Collaboration Notifications Dashboards & Reports Integration Framework
Infrastructure
IaC (Terraform) Kubernetes + Helm + Istio Message Queues (Kafka) CDC Pipelines AWS / Azure / GCP / On-Prem Backup & DR Hardened Containers DevSecOps Pipeline
Operations
FinOps Tracing Agentic Ops Alerting Observability
04 — AI-Native Operations

Sentinel AI — bundled with every application.

Every Code Singularity application ships with Sentinel — an operational intelligence layer that observes, investigates, acts, and optimizes. It runs autonomously, or conversationally when human judgment is needed.

01

Observe

Sentinel monitors every tickets, incidents and alerts - continuously across all layers. Alert webhooks, time-series data, service traces, and identity events all feed in simultaneously.
02

Investigate

When a signal fires, Sentinel runs cluster diagnostics, pulls distributed traces, searches logs, and queries the database — all in correlated fashion. No engineer is paged until the RCA is already complete.
03

Act

Sentinel resolves autonomously where it's safe to do so, and escalates with a fully compiled evidence package when human judgment is required. No war rooms. No starting from scratch.
04

Optimize

Every resolution is validated post-fix. Patterns are encoded into MOPs. Recurrences are caught before they surface. The system gets better after every incident — not just recovered from it.
Sentinel AI — Incidents Dashboard
CrashLoopBackOff — payment-service
RESOLVED
1
Container diagnostics → OOMKilled, exit code 137
2
Pod logs → OutOfMemoryError since 02:40 AM
3
ServiceOps traces → latency degradation confirmed
4
Time-series monitoring → 2.3x traffic spike at 02:30 AM
5
RCA: Memory limit insufficient. Recommendation: increase to 2GB
SRE
"Why is payment-service repeatedly crashing?"
Sentinel Copilot
payment-service is in a CrashLoopBackOff state due to an OutOfMemoryError (OOMKilled, exit code 137). This was triggered by a 2.3x traffic spike at 02:30 AM, exceeding the configured memory limit. Fix: Increase the pod memory limit to 2GB to handle the increased load.
6 min
Avg MTTR
85%
L1 Deflection
24/7
Coverage

ServiceOps

End-to-end application observability — from user request to database query

ClusterOps

Container and pod health management at enterprise scale

SecurityOps

SIEM-grade threat detection with MITRE ATT&CK mapping and compliance reporting

DataOps

Pipeline health and data quality drift detection before downstream impact
05 — Legacy Modernisation

Analyse what exists. Understand it. Rebuild it.

Code Singularity isn't only for greenfield. It ingests existing codebases, database schemas, API contracts, and documentation — builds a living specification of what your system actually does — then refines through conversation and rebuilds on the modern stack with full functional parity.

Stage 01 — Understand

Ingest & Analyse

Feed in your existing artefacts. Code Singularity reads and reasons across all of them to build a functional specification of what your system actually does — not what the outdated docs claim.
You provide
Source code (any language)
Database schemas & ERDs
API contracts / Swagger specs
Existing documentation
Platform produces
Functional specification document
Entity-relationship map
Business logic extraction report
Integration dependency map
→
Stage 02 — Refine

Validate & Shape

Stakeholders review the extracted specification through conversation — correcting gaps, adding context, identifying what to modernise and what to carry forward unchanged.
Activities
Conversation-driven gap analysis
Stakeholder validation of extracted logic
Modernisation scope definition
Target architecture confirmation
Platform produces
Confirmed target specification
Delta report (what changes, what stays)
Data migration strategy document
→
Stage 03 — Rebuild & Migrate

Generate & Cut Over

The confirmed specification runs through the standard delivery pipeline. A new, modern application is generated with full functional parity — data migration scripted, validated, and run in parallel with the legacy system until ready.
Platform produces
Full-stack application on modern stack
All 6 enterprise layers included
Data migration scripts (validated)
Parallel-run cutover plan
Guarantee
Full functional parity
No big-bang cutover
Legacy runs until new system validated
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