AI Software Development Lifecycle Onboarding
Tech 42 · HR & Talent
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Modernizing your Software Development Lifecycle (SDLC) with AI requires more than just a seat license, it requires a foundation of security, cost control, and developer best practices. Our AI SDLC Onboarding Service is designed to bridge the gap between "experimental AI" and "production-ready engineering."
We specialize in deploying Claude Code or Codex integrated seamlessly with Amazon Bedrock. Our engagement ensures that your developers can leverage the power of AI coding practices while maintaining the enterprise-grade security and data residency of your AWS environment.
Show the rest of the publisher’s description (6 more lines)
What we deliver:
- Infrastructure & Security Setup: IAM role refinement, Bedrock model provisioning, and VPC security to ensure your source code remains private and secure.
- Workflow Integration: Tailored configuration of Claude Code for your specific tech stack, including CI/CD pipeline integration and local development environment setup.
- Policy & Governance: Implementation of guardrails to manage API costs, monitor usage, and establish "Human-in-the-loop" approval workflows for AI-generated commits.
- Developer Enablement: Hands-on workshops covering prompt engineering for agents, context management, and debugging AI-assisted code.
Move beyond basic autocomplete and empower your team with autonomous coding agents that understand your entire codebase.
Highlights
Highlighted by the publisher on AWS Marketplace.
Secure Bedrock Integration: Hardened configuration of Amazon Bedrock to power AI coding, ensuring your proprietary data never leaves your AWS environment.
Agentic Workflow Optimization: Custom setup of developer environments to maximize the efficiency of autonomous coding agents within your existing git-based workflows.
Enterprise Governance: Clear frameworks for cost management, security guardrails, and compliance tracking for AI-generated code.
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Sources
Linked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.