Blaze NexGen
Architecture
The industry's first governed Product Development Lifecycle platform. 78 specialized AI agents orchestrated across 4 phases with mandatory TDD (Test-Driven Development), BDD (Behavior-Driven Development), CDD (Compliance-Driven Development), and end-to-end test automation — delivering compliant, auditable software at enterprise scale.
Platform Technology Stack
Six-layer architecture from AI models to infrastructure, each layer independently scalable and governable.
PDLC — Four-Phase Lifecycle
Every product change traverses four governed phases with mandatory quality gates and evidence collection.
Strategic Intelligence
- Critical Thinking Analysis
- PRD Generation with BDD Gherkin
- Architecture Review
- Risk Assessment
- Regulatory Analysis
- CDD Evidence: Phase 1
Automated Development
- Git Worktree Isolation
- TDD: Tests Before Code
- Code Quality Review
- Security Vulnerability Scan
- E2E Playwright Testing
- CDD Evidence: Phase 2
Orchestrated Deployment
- CI/CD Pipeline Execution
- Trust Boundary Enforcement
- Supply Chain Validation
- Preview Environment Deploy
- Health Check Verification
- CDD Evidence: Phase 3
Lifecycle Management
- 9-Agent PR Review Consensus
- Multi-AI Model Validation
- Compliance Score ≥90%
- Context Capsule Generation
- Final CDD Attestation
- Human Approval Gate
Three-Tier Agent Hierarchy
78 specialized agents organized into three tiers: Primary orchestrators, Visible specialists, and Hidden operators.
Tier 1 — Primary
2Master orchestrators that coordinate the entire PDLC. Tab-switchable, always available.
Tier 2 — Visible
10User-invokable specialists via @mention. Deep expertise in specific domains.
Tier 3 — Hidden
66Internal agents called only by orchestrators. Security, deployment, domain-specific, and utility operations.
Multi-AI Consensus Pipeline
Every PR artifact is validated through a 4-stage pipeline with discourse synthesis to eliminate single-model blind spots.
Fast Triage
Rapid bug detection, security basics, code style enforcement
Deep Analysis
Architecture review, edge cases, subtle logic bugs, complex reasoning
External Validation
Independent review from external providers running in parallel
Discourse Synthesis
Cross-model debate resolves contradictions, deduplicates, elevates consensus findings
Three-Orchestrator Integration
Master SDLC orchestrator coordinates CDD evidence collection and PR review consensus across all four phases.
Master 4-Phase Workflow
Architecture, Risk
Testing, E2E
Supply Chain
Compliance, Attestation
Evidence at Every Phase
9+ Review Agents
Four Pillars of Enforcement
Every product change is governed by mandatory TDD, BDD, CDD, and E2E test automation — enforced at every phase, not just suggested.
TDD
Test-Driven Development. Tests written before implementation. Red-Green-Refactor enforced via git history.
- Tests committed before code
- Coverage: ≥80% on new code
- All tests pass before Phase 3
- Git history verified for order
BDD
Behavior-Driven Development. Gherkin scenarios define acceptance criteria. Stakeholder-readable, machine-executable.
- Given/When/Then in every PRD
- Scenarios block Phase 1 → 2
- 100% scenario coverage required
- Edge cases and error paths
CDD
Compliance-Driven Development. Evidence auto-collected at every phase. Audit-ready from day one.
- Evidence at all 4 phases
- Final attestation and score
- Compliance: ≥90% to merge
- Regulatory mapping built in
E2E Automation
End-to-End Test Automation. Playwright-powered browser testing validates every user-facing flow automatically.
- Playwright MCP integration
- BDD scenarios → E2E tests
- Cross-browser validation
- Visual regression detection
Platform Capabilities
Enterprise-grade capabilities spanning the full product development lifecycle.
Agentic Orchestration
78 specialized AI agents in a 3-tier hierarchy. Master orchestrators coordinate domain specialists automatically.
Multi-AI Consensus
4-model validation pipeline with discourse synthesis. No single-model blind spots. External provider independence.
Governed Lifecycle
Phase-gated enforcement with quality gates. No phase transition without meeting mandatory thresholds.
Compliance Evidence
CDD methodology auto-collects evidence at every phase. Audit-ready artifacts generated, not assembled after the fact.
Enterprise Infrastructure
AWS EKS with 100% spot instances, Cloudflare edge workers, Terraform IaC, OTP-based access control.
Industry Verticals
Domain-specific agents for banking, trading, AML, and regulatory compliance. Basel III, PCI-DSS, SOX, GDPR built in.
Security-First
Prompt injection scanning, trust boundary enforcement, supply chain validation, 9 always-block vulnerability categories.
Hypothesis-Driven ADRs
Architecture decisions require falsifiable hypotheses, evidence classification (L0/L1/L2), and bounded validity.
Process Modeling
BPMN 2.0 and DMN 1.3 process modeling with validation, simulation, and Camunda 7/8 compatibility.
Competitive Advantage Matrix
How Blaze NexGen compares to the EY + 8090 partnership and standalone competitors.
| Capability | Blaze NexGen | EY + 8090 | 8090 Standalone |
|---|---|---|---|
|
Multi-AI Consensus Review
Cross-model validation with discourse synthesis
|
4-model pipeline | Single model | Single model |
|
Compliance-Driven Development
Automated evidence collection throughout lifecycle
|
Native CDD engine | Consulting overlay | Not available |
|
Agent Ecosystem
Specialized, governed AI agents
|
78 agents, 3 tiers | ~20 modules | 4 modules |
|
Phase-Gated Quality Gates
Mandatory thresholds block phase transitions
|
4 enforced gates | Manual checkpoints | No gates |
|
TDD + BDD + E2E Enforcement
Tests-first and behavior-driven, machine-verified
|
Mandatory, verified | Recommended | Not enforced |
|
Industry Vertical Agents
Banking, AML, regulatory compliance built-in
|
7 banking agents | EY advisory | Generic only |
|
Hypothesis-Driven ADRs
Falsifiable decisions with evidence chains
|
L0/L1/L2 + WLNK | Not available | Not available |
|
Process Modeling (BPMN/DMN)
Visual process design with validation
|
6 process agents | Consulting-led | Not available |
|
Infrastructure as Code
Self-hosted, sovereign deployment
|
EKS + Terraform + CF | Cloud SaaS | Cloud SaaS only |
|
Pricing Model
Cost structure and accessibility
|
Platform license | $200/seat + consulting | $200/seat/month |
Market Positioning
Why PDLC, not SDLC — and how Blaze occupies a market category competitors haven't defined yet.
🏭 They Build a Software Factory
8090 calls itself a "Software Factory" — optimized for code generation speed. EY adds consulting wrappers. Their value proposition: write code faster. The problem: enterprises don't fail because they write code slowly. They fail because ungoverned code reaches production.
🛡️ We Build a Governed Platform
Blaze NexGen is a Product Development Lifecycle Platform — governed end-to-end from strategic intelligence to compliance attestation. Code generation is one capability among 78 agents. The value proposition: every artifact is auditable, every decision is traceable, every phase is gated.
📊 PDLC > SDLC — Why the Shift
SDLC is a phase within the product lifecycle. PDLC encompasses requirements, compliance, governance, delivery, and lifecycle management. Enterprise buyers budget by product line, not codebase. PDLC speaks their language and positions Blaze as the platform of record.
🎯 Addressable Market
EY+8090 targets enterprises willing to pay $200/seat + Big 4 consulting rates. Blaze targets the same enterprises with a platform-native approach that eliminates the consulting dependency. The platform IS the governance — not a slide deck that recommends it.