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Silicon Shoring
ai for sdlc
Silicon Shoring is an AI-Powered Software Delivery model designed to optimise and automate the entire Software Development Life Cycle.
THE MODEL
Embedding AI in each stage of the SDLC
With Silicon Shoring, AI is seamlessly integrated across every phase of the software development lifecycle - starting from gathering requirements, through to coding, testing, deployment, and release, up to operation and monitoring. By leveraging intelligent automation and real-time governance, this model, designed for enterprise-scale adption, enables organisations to scale their operations, improve software quality, reduce development complexity, and significantly reduce time-to-market.
THE TECHNOLOGY
At the core of Silicon Shoring is Silicon Reply – an agentic AI system that enables organisations to evolve into autonomous software factories, where AI agents collaborate with human teams
The key features
Agentic SDLC Automation
A network of generative AI agents that work across each phase of software delivery - from requirement extraction and code generation to automated testing, deployment orchestration and production monitoring.
Multi-Agent Architecture
Each agent is task-specialised and governed within a secure, coordinated framework. Agents work in parallel to automate repetitive tasks, enhance decision-making and improve speed and consistency.
Enterprise-Ready Governance
Built-in observability, performance evaluation, model orchestration, dataset management and a Governance Dashboard that tracks flow, DORA, quality, adoption and operational metrics across the SDLC.
Real-Time Monitoring & Alerts
Structured, AI-enforced development processes paired with monitoring capabilities to ensure transparency, detect issues early and drive continuous improvement.
THE BENEFITS
Smarter software delivery at scale
Silicon Shoring enables organisations to evolve into autonomous software factories to deliver scalable, high-quality software at speed. It drives:
Significant efficiency gains across the software development lifecycle
Higher software quality through early detection and best practices
Stronger governance with real-time metrics and automated alerts
Scalable delivery models built for enterprise-scale software needs
THE OPERATING MODELS
Two models, one goal: scalable AI-powered development
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USE CASES
Key development scenarios with Silicon Shoring
Silicon Shoring adapts to a variety of software development scenarios, helping organisations tackle both greenfield and brownfield challenges with AI-driven speed, quality and consistency. Key use cases include:
Greenfield
Development
Legacy System Modernisation
Application
Maintenance
Accelerate the creation of new digital products by leveraging AI-powered tools for code generation, testing, and deployment. This enables teams to move from idea to implementation faster, with reduced manual effort and higher consistency across builds.
Transform outdated systems by refactoring existing codebases with AI agents trained to maintain original business logic while upgrading architectures, frameworks, and performance standards. This ensures continuity while unlocking scalability and efficiency.
Automate the maintenance of existing software through intelligent workflows that handle updates, bug fixes, enhancements, and quality assurance. AI streamlines repetitive tasks and helps teams focus on delivering long-term value.
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