Sold by: Lean TECHniques
Engineering teams adopting AI coding tools see a median 7.76% productivity gain. Our clients see 2x throughput and up to 10x improvement in quality. Two senior engineers embed with your team for six weeks, using agentic AI to eliminate tech debt, build automated test coverage, harden CI/CD pipelines, and remediate security vulnerabilities — then transfer the practices so your team carries forward independently.
Overview
Most organizations get less than 7.76% productivity improvement from AI coding tools. Our clients consistently achieve 2x throughput and up to 10x quality improvement, measured through DORA metrics. The difference is method, not tools.
Lean TECHniques' AI-Accelerated Application Modernization embeds two senior engineers with your team for a focused six-week engagement. We use agentic AI tools including Amazon Bedrock, Kiro, Amazon Q Developer, AWS Security Agent, and AWS DevOps Agent to modernize your application at a pace traditional approaches cannot match.
Every engagement starts with our Agent Ready Assessment, which runs against a local clone of your repository with no GitHub integration required. The assessment scores your codebase across six dimensions including test posture, build hygiene, code quality guardrails, CI/CD checks, and existing code readiness, producing a letter grade and a prioritized punch list of findings.
From there, your engagement includes automated test coverage and quality gates, CI/CD and delivery pipeline hardening, plus your choice of tech debt and codebase refactoring or security vulnerability remediation. Team enablement is built into every engagement so your engineers own the agentic practices, tools, and workflows after we leave.
Proven results from our engagements include 100,000 lines of code shipped in six weeks, 98% test coverage on codebases that previously had zero tests, 5,000+ automated tests built and maintained, most stories completed in under 15 minutes of autonomous agent run time, and quality so high that client QA rarely found issues where they typically find 2-3 per story.
This offering leverages Amazon Bedrock for model hosting, Kiro for spec-driven agentic development, Amazon Q Developer for AI-assisted coding, AWS Security Agent for vulnerability detection, and AWS DevOps Agent for CI/CD and operational improvements.
Highlights
- 2x throughput, up to 10x quality improvement in 6 weeks. Proven results from embedded agentic-first delivery with real engineering teams, measured through DORA metrics.
- No integration required to start. Our Agent Ready Assessment runs against a local repo clone. See your codebase scorecard before committing to an engagement.
- Your team carries it forward. Team enablement is built in. Engineers own the agentic practices, tools, and workflows after the engagement ends.
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Support
Vendor support
For pre-purchase inquiries, contact our team at aws@leantechniques.com or visit https://leantechniques.com . After purchase, your dedicated engagement lead provides direct support throughout the six-week engagement, including weekly progress reviews and access to our team via email and Slack. Post-engagement support is available to help your team sustain and extend the practices established during the engagement.
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