Home Solutions Cloud & DevOps AI SDLC: Deliver faster, with higher quality and greater productivity

Reimagine your software delivery with core AI-driven SDLC services

Go from idea to production in weeks or even days, embed automation for consistent quality, and boost developer productivity by 30%+ through AI-driven prototyping, coding, testing, and operations.

Quadrant chart illustrating four core AI-driven SDLC services—Vibe Prototyping, SDLC Control Tower, GAIN, and AI SDLC Transformation—spanning rapid prototyping, automation, analytics, and organization-wide AI augmentation.

Transform your delivery. Outpace your market. Start today.

LET’S TALK AI SDLC

AI SDLC capabilities

Choose specialized AI SDLC capabilities and empower your teams to achieve next-level speed, quality, and resilience. Use each capability on its own to solve a specific challenge, or combine them into an integrated program for full-scale transformation.

Matrix of AI SDLC capabilities showing productivity boosters for development, testing, operations, reliability, and efficiency—highlighting areas from automated testing to predictive incidents and drift remediation.
AI-native SDLC diagram showing reduced human effort and automation across planning, analysis, design, implementation, and testing phases.

AI-NATIVE DEVELOPMENT

Accelerate innovation with enterprise-grade AI engineering

Adopt true AI-native practices, starting from simple co-pilot use to multi-agent development that plans, builds, and tests features automatically. Our team helps you identify and adopt emerging practices for AI-native development, rethinking and evolving your processes to fit the new reality, without disruption.

AI QUALITY ASSURANCE

Sentence case: Automate testing and validation across the SDLC

Embed AI copilots and agent-based automation into QA workflows, spanning test generation, synthetic data creation, test execution, and coverage optimization. This end-to-end transformation empowers QA teams to deliver higher-quality systems, while detecting issues faster and earlier in the development cycle.

AI-driven QA process diagram highlighting reduced effort and improved speed for requirements analysis, testing, and defect reporting via automation.
AI-powered SRE agents autonomously collaborating via Slack to detect, investigate, and resolve issues using monitoring and infrastructure tools.

AI SITE RELIABILITY ENGINEERING (AI SRE)

Proactively detect, diagnose, and resolve issues at scale

Integrate predictive analytics, advanced monitoring, and AI-powered self-healing capabilities into your reliability workflows. Our approach uses intelligent agents and machine learning models to perform proactive anomaly detection, root-cause analysis, and capacity optimization—maximizing uptime in complex, dynamic environments.

AI SDLC customer success stories

Unified AI-powered SRE for 60X faster root cause analysis

A global retailer processing billions of transactions faced lengthy incident investigations, often requiring eight hours to identify root causes due to complex and fragmented systems. Grid Dynamics delivered a unified AI SRE platform, integrating language models for natural language reasoning, metrics analytics, and system configuration context. The result? Root cause analysis times fell from hours to minutes, providing instant operational insight and improving system resilience.

15-20% productivity uplift through AI claims platform modernization

A leading healthcare provider transitioned from a monolithic on-premises system to a modern cloud microservices solution. By adopting AI-native development practices, they achieved a 15–20% productivity gain within months, demonstrating the tangible impact of AI augmentation in enterprise software engineering.

AI vision app delivered in hours with vibe prototyping

A pet superstore chain needed a low-cost way to control aquarium fish inventory. Grid Dynamics engineers used vibe prototyping—zero-shot object detection and instant app generation—to deliver a functional prototype in hours, validating the viability of the technical solution, verifying user experience, and empowering executives with proven results, making it easy to fund the full-scope initiative.

Our latest innovations in AI SDLC

Colorful, translucent spiral staircase representing the iterative and evolving steps of the AI software development lifecycle

Insights

Agentic AI now builds autonomously. Is your SDLC ready to adapt?

Agentic AI is reshaping the SDLC by enabling autonomous code generation and multi-layer workflows. This shift in AI SDLC raises new questions about developer roles, context, risk, and governance, requiring organizations to rethink how they structure, review, and maintain software systems.

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Vibrant translucent cubes and silhouettes of people in a digital cityscape, visually representing the dynamic and layered nature of AI software development, where diverse technologies, data, and human collaboration intersect to build innovative, interconnected digital solutions

Insights

Your centralized command center for managing AI-native development

AI software development is redefining project delivery by combining human expertise with automation. Frameworks like GAIN enable granular cost control, faster feature release, and data-driven quality, shifting focus from hours worked to measurable outcomes and continuous improvement.

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Multi-layered AI engineering advisor dashboard

INSIGHTS

Solve the developer productivity paradox with Grid Dynamics’ AI-powered engineering advisor

Cut through the developer productivity paradox with an AI-powered engineering advisor. Discover how Grid Dynamics’ SDLC Control Tower delivers actionable insights, reduces waste, and elevates software quality—empowering your teams for continuous, measurable improvement throughout the SDLC.

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White paper

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DEMO

SDLC Control Tower

The Development Innovation Canvas by Grid Dynamics is a strategic framework designed to help organizations streamline and accelerate their innovation processes. This powerful tool enables teams to systematically identify challenges, prioritize key development areas, and formulate actionable strategies for driving successful innovation. By leveraging a structured and data-driven approach, the canvas fosters collaboration, aligns objectives, and provides a clear roadmap for turning ideas into impactful solutions. Whether optimizing product development or refining business strategies, the Development Innovation Canvas empowers organizations to innovate with confidence and efficiency.

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Cloud & product engineering for enterprise software

Cloud computing and software product engineering services for the enterprise

Optimize cloud for AI