SDLC lifecycle automation with AI agents
The software development lifecycle (SDLC) is the sequence of phases that takes software from an idea to a running system: requirements, design, development, testing, deployment and maintenance. FutureIM automates these phases with AI agents so teams spend their time on decisions instead of hand-offs.
Get startedExplore all productsThe phases of the SDLC and how FutureIM covers them
- Requirements and planning - Synthesis generates detailed requirements and a work breakdown structure with estimates.
- Design - Synthesis produces the architecture with component and sequence diagrams.
- Development - Synthesis writes the code into your GitHub repository and reviews it through pull requests.
- Testing - Synthesis generates unit, integration, end-to-end and performance tests.
- Deployment - Synthesis generates infrastructure and CI/CD pipelines, and can deploy into your Google Cloud project.
- Coordination - Nebula orchestrates teams of agents across these stages.
- Architecture governance - TOGAF Governance keeps enterprise architecture decisions consistent.
Agentic SDLC
An agentic SDLC lets AI agents perform the work of each phase while people approve the result before the next phase starts. Every FutureIM step produces artefacts you can inspect and keep.
Frequently asked questions
What are the phases of the SDLC?
The common phases are requirements and planning, design, development, testing, deployment and maintenance.
How can AI automate the SDLC?
AI agents can draft requirements and estimates, design the architecture, write and review code, generate tests, produce infrastructure as code and prepare deployment pipelines, with people approving each stage.
Which FutureIM product automates the SDLC?
Synthesis automates the end-to-end lifecycle from requirements to deployment. Nebula orchestrates teams of agents.