CRED Codelens Drives AI Acceleration Four Times on Amazon Bedrock

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Mumbai: CRED has built an agentic layer, Codelens, that orchestrates 400+ specialized agents to accelerate decision-making and shipping velocity. It is a flagship effort of CRED’s AI labs initiative.

With 20+ business verticals, 2,000+ repositories, and 500+ microservices, engineering complexity at CRED compounded faster than documentation or process could keep up. In this context, CRED codelens makes systems self-explanatory and distributes context gathered from Slack, Confluence, Jira, other tools, and the code itself.

It is enabled by Amazon Bedrock, which routes tasks to the right model and enables enterprise-grade controls. CRED Codelens is a flagship effort of CRED’s AI labs initiative.

Amazon Bedrock gives CRED a single governed API across frontier models with automatic routing to the best-fit model per task and built-in enterprise-grade compliance and cost controls. The platform runs on Amazon Elastic Kubernetes Service, with supporting infrastructure for vector storage, observability, and a registry of secure MCP servers spanning engineering, data, and product functions.

Starting from the customer-facing app, it traverses microservices to produce end-to-end request call graphs that map how different applications, services, APIs, and user journeys connect and communicate across the platform. Every code commit automatically triggers analysis, generates service and flow-level documentation, and indexes it into a vector database within 30 minutes.

On top of this foundation, an agentic layer orchestrates specialised agents for codebase Q&A, PR review, code generation, infrastructure debugging, and test creation. Today, CRED codelens works alongside team members on every line of code in the organisation, reducing what would take weeks to build, test, troubleshoot, and deploy into hours.

“Amazon Bedrock gave us the flexibility to build this at scale across models, while maintaining strong controls around security, governance, cost, and measurable ROI,” informed Swamy Seetharaman, AI enabler at CRED.

Added Kiran Jagannath, Head of FSI and Conglomerates, AWS India and South Asia, “CRED has reimagined how engineering teams operate at scale by building CRED codelens on Amazon Bedrock — turning their entire codebase into living knowledge.”