Hands-On Kiro Workshop
Ran a one-day HabileLabs Kiro workshop for the CloudiQS team at the HabileLabs Gurugram office in the last week of August 2026, using real delivery scenarios.
AWS for CloudiQS with Kiro: Faster, Higher-Quality Development
Aavas Financiers, a listed housing finance company with 445 branches across 15 states and union territories and assets under management of over ₹20,000 crore, relies on its 100+ developers to build the Aavas Loan App, online application and KYC, the EMI portal and its loan-processing systems. A user story took about 20 working days to reach production, and scheme and regulatory changes had to ship quickly. In partnership with HabileLabs and powered by AWS, Aavas Financiers is scaling Kiro, AWS’s agentic AI development environment, from 10 to 45 active developers. The program runs as a Business Value Realization engagement, so every outcome is tracked against agreed baselines.
Challenge: A Long Development Cycle Was Slowing Customer and Regulatory Change
- A user story took about 20 working days from development start to production release.
- Pull requests waited about 2 working days for senior developer review.
- Production bugs took about 3 working days to resolve.
- About 5 critical or high security findings per release surfaced late in the release cycle.
- Scheme and regulatory changes, such as PMAY 2.0, had to be built correctly and released quickly.
- Kiro use was limited to 10 users, with no consistent way to measure delivery speed or the value of AI tooling.
Accelerating Client Delivery with Kiro on AWS
HabileLabs delivered the following initiatives to address CloudiQS’ delivery speed, quality and capacity challenges:
Spec-Driven Development
Turned client requirements into requirements, designs and task lists before any code was written, shortening the time from spec to approved design.
Automated Tests with Agent Hooks
Generated and updated tests and ran checks on every change, so delivery speed rises without raising the change failure rate.
Steering Files for Consistent Standards
Encoded CloudiQS’ engineering standards and AWS patterns, so every engineer’s output follows the same rules across client projects.
Secure, AWS-Native Setup
Set up Kiro Power with AWS IAM Identity Center sign-in, encrypted usage reports in Amazon S3, CloudTrail audit logging and an AWS Budgets alert, all defined as infrastructure as code.
Value Dashboard and Governance
Built a Kiro usage and KPI dashboard so leadership can see licence activation, usage, cost and SDLC cycle time, backed by weekly operational reviews, monthly value reviews and BVR pit stops with AWS.
Targeted Business Impact
The program is on track to deliver the following by January 2027:
Shorter SDLC Cycle Time (Hero KPI)
SDLC cycle time per work item targeted to fall by 30% for Kiro-trained engineers, in steps of 10%, 20% and 30%, recapturing about 17,280 engineering hours a year, or about 9 engineer-equivalents.
More Billable Capacity
Recaptured hours free engineers for client delivery, with steady-state value of about $860,000 a year in billable capacity.
Adoption at Scale
Licensed Kiro engineers growing from 6 to 30.
Faster Design Approval
Time from spec to approved design targeted to fall by 40%.
More Frequent Releases
Deployment frequency targeted to rise by 25%, with the change failure rate never rising above baseline.
Higher Quality and Faster Ramp-Up
Test coverage targeted to rise by 15 percentage points, and new engineers productive within 2 weeks.
Why HabileLabs?
- Problem-First Approach: Started with Aavas Financiers’ development-cycle pain points, not the product.
- AWS Expertise: AWS Advanced Tier Services Partner with the AWS AI Services Competency.
- Business Value Realization: Every target has a baseline, an owner and a review cadence, so value is measured, not presumed.
- Right-Sized Investment: A mix of Kiro Enterprise and Kiro Power licences matched to how each group works.
- Hands-On Enablement: Workshops, labs, Champions and coaching move teams from trial use to daily practice.
- Governed AI Adoption: Security, compliance and customer-data guardrails were agreed before scaling, as a regulated lender requires.
Conclusion
Aavas Financiers is replacing a slow, manual development cycle with governed, AI-assisted delivery on AWS. With faster reviews, fewer security findings and about 12.5 FTE of added capacity, its teams can ship the digital and loan-processing roadmap sooner.