One command center for every service, software and agent.
Stack18 Agentic SDLC is the management platform for everything you run: the services you deliver, the software you build and the AI agents doing the work, in one live dashboard. Underneath, it connects intent, requirements, design, code, testing, deployment and operations into one AI-native lifecycle. AI executes the work. Your people stay in command. New to the term? Read what the Agentic SDLC is.
- One dashboard
- Intent-driven
- AI-executed
- Human-governed
- Fully traceable
- Discover
- Define
- Design
- Build
- Test
- Deploy
- Operate
What is the Stack18 Agentic SDLC platform?
The Agentic SDLC is Stack18's command center for services, software and AI agents. It runs work through 7 lifecycle stages with 10 specialised AI agents, and people approve critical decisions at 5 governance gates, so teams see status, ownership and approvals for everything in one live dashboard.
Manage services, software and agents as one portfolio.
Every client engagement, product and AI agent sits in the same place, measured the same way and governed by the same rules. No more one tool for clients, another for code and nothing at all for agents.
The work you deliver
Client engagements, consulting and managed services.
- Scope, milestones and service levels
- People and agents allocated to each engagement
- Delivery health and client approvals
The systems you build
Products, platforms and modernization programmes.
- Lifecycle stage, from discover to operate
- Build health, releases and environments
- Requirements traced to code and tests
The workforce doing it
The AI agents executing work across every project.
- What each agent is running, right now
- Permissions, approvals and audit trail
- Usage, cost and quality of output
Delivery is fragmented.
Most teams run client services in one tool, software in another and AI agents nowhere at all. Planning tools, design files, repositories, pipelines and dashboards are stitched together, and context is lost at every handoff.
Intent gets diluted
- Requirements live in documents
- Design and code drift apart
- Decisions are hard to trace
Every stage is a silo
- Separate tools per function
- Manual status reporting
- No shared view of delivery
Speed without control
- AI coding tools stop at the editor
- No governance across the lifecycle
- Agents run with no shared oversight
- Audit trails are reconstructed later
Discover to operate, in one system.
Each stage takes structured input, executes with AI, passes a governance gate and hands a traceable artifact to the next. Select a stage to see exactly what happens.
Discover
Capture what the business actually needs.
Business goals, context, constraints
Synthesizes inputs, maps stakeholders, risks and open questions
Confirms intent, scope and success measures
Intent brief
Define
Turn intent into precise, testable requirements.
Intent brief
Drafts the PRD, user stories and acceptance criteria; flags conflicts and gaps
Approves requirements
Requirements set
Design
Shape the system before a line of code exists.
Approved requirements
Proposes architecture, data model, API contracts and UI/UX flows
Approves architecture and design decisions
Architecture and design specs
Build
Generate production code that matches the spec.
Approved specifications
Generates code, APIs and integrations, with tests and documentation
Reviews critical changes and sets standards
Working code with tests
Test
Verify against intent, not just against code.
Code and specifications
Runs functional, regression and security checks and triages failures
Signs off on release readiness
Quality report
Deploy
Ship through pipelines you can trust.
Release candidate
Builds pipelines, provisions environments and stages releases
Approves promotion to production
Live release
Operate
Close the loop with what production teaches.
Production telemetry
Monitors health, flags regressions and suggests fixes
Prioritizes what improves next
Insights for the next cycle
A command center for everything you deliver.
One workspace shows which services are on track, what is being built, what each AI agent is executing, what awaits approval and how healthy every system is.
- Live progress across every service and software project
- Every AI agent, its current task and its output
- Pending approvals routed to the right owner
- Build health, service levels, deployments and activity feed
Human approval required for production releases, architecture changes and data access.
A platform, not a pile of tools.
Six principles shape every part of Agentic SDLC.
Intent-driven
Start from business goals, not tickets. Every artifact downstream traces back to the intent that justified it.
Continuous context
Context moves with the work. Nothing is re-explained at handoff, and nothing is lost between tools or teams.
Governed autonomy
Approval gates, permissions and policies decide what AI may do alone and what needs a human sign-off.
Living documentation
Specs, diagrams and tests update as the system changes, so documentation never drifts behind the code.
Fits your stack
Works with your Git, cloud, CI/CD, identity and observability tools rather than asking you to replace them.
Deploy on your infrastructure
The platform can be deployed on your own infrastructure.
One continuous system for software development.
Five layers, each with a clear responsibility.
Intent
Business goals, requirements, context and constraints. The source of truth every downstream artifact is traced back to.
Intelligence
Planning, reasoning, analysis and decision support that turn intent into structured plans and options.
Agentic Execution
AI executes work across the software lifecycle: specifications, code, tests, pipelines and documentation.
Governance
Approvals, permissions, security, policies and auditability applied to every stage and every change.
Infrastructure
Git, cloud, databases, CI/CD, observability and enterprise systems the platform runs on and connects to.
Autonomous execution. Human governance.
Stack18 enables AI to execute across the SDLC while teams define intent, establish constraints, approve critical decisions and retain control over what reaches production. AI executes. Humans govern.
Approvals
- Human approvals
- Governance gates
Access
- Permissions
- Role-based control
Policy
- Security policies
- Enforced per workflow
Evidence
- Audit trails
- Review workflows
Governance gates across the lifecycle
Gates are configurable per project, team and risk level. Every decision is recorded to the audit trail.
- Intent gateScope, goals and constraints confirmed
- Requirements gateAcceptance criteria approved
- Architecture gateDesign and data decisions signed off
- Release gateQuality and security evidence reviewed
- Production gatePromotion approved by the right owner
Built for the work that matters most.
The same lifecycle adapts to very different kinds of software delivery.
Launch a product from idea to production
Go from a business idea to specs, working code, tests and pipelines in one traceable flow.
SaaS product development →Modernize legacy systems safely
Map what exists into the software graph, then rebuild incrementally with requirements and tests to prove parity.
Legacy modernization →Ship AI features with governance
Build AI-powered capabilities with approvals, evaluation and audit trails from the first commit.
AI product development →Deliver with evidence, not paperwork
Approvals, permissions and audit trails are produced as the work happens, ready when reviewers ask.
Enterprise controls →Run client services from the same dashboard
Track scope, milestones and service levels next to the software and agents delivering them.
Technology services →Manage AI agents like a governed team
See what every agent is doing, approve what matters and measure what it produces.
AI Enterprise OS →Specialized capabilities underneath.
Underneath the Agentic SDLC platform is a network of specialized AI capabilities that execute work across the software lifecycle. AI agents are the execution layer, and every one of them is visible and managed in the command center. Agentic SDLC is the platform.
| Capability | Internal name | Lifecycle stage |
|---|---|---|
| Discovery | Compass | Discover |
| Requirements | Draft | Define |
| Architecture | Blueprint | Design |
| Experience design | Frame | Design |
| Data and APIs | Grid | Design, Build |
| Engineering | Weld | Build |
| Quality | Watch | Test |
| Documentation | Ledger | All stages |
| Release | Launch | Deploy |
| Monitoring | Pulse | Operate |
Two ways to use the platform.
Self-Serve Agentic SDLC
For product teams, service providers and engineering organizations. Join the waitlist for early access to the command center.
Enterprise Transformation Pod
The platform delivered with pre-built solutions and Stack18 engineers, from strategy to production.
Explore Enterprise →Agentic SDLC questions.
What can I manage on Agentic SDLC?
Three things, in one dashboard: the services you deliver, the software you build and the AI agents doing the work. Each has its own view, and all of them share approvals, health, timelines and the audit trail.
Is Agentic SDLC an AI coding tool?
No. Coding is one stage. The platform covers intent, requirements, architecture, design, code, testing, deployment and operations, with governance across all of them.
Where do humans stay in control?
Teams define intent and constraints, and approve critical decisions at governance gates. Nothing reaches production without the approvals you configure.
Can it work with existing repositories and pipelines?
Yes. The infrastructure layer is designed to connect to your Git, cloud, CI/CD and observability systems.
Is the self-serve platform available?
Not yet. It is coming soon, with a waitlist. Enterprise engagements are available today.
How is Agentic SDLC different from a traditional agency or an AI coding tool?
Agencies deliver project by project with manual handoffs, and coding tools stop at the editor. Agentic SDLC connects the whole lifecycle in one traceable system with governance built in.
Can we start with one project?
Yes. Many teams begin with a single product or modernization effort through the Enterprise Transformation Pod, then extend the approach as confidence grows.
Build what comes next.
Whether you're building a product, transforming an enterprise or creating a new business, Stack18 brings together the platform, technology and expertise to move from idea to execution.