Claude Code on Amazon Bedrock

AI coding assistants are now table stakes for any serious engineering team. The hard part is deploying them in a way that stands up to security review — keeping your source code, prompts and engineering context inside your AWS account, with the same governance, audit and cost controls you'd apply to any other production workload.

PurePlay Cloud's Claude Code on Amazon Bedrock engagement does exactly that. We deploy Claude Code — Anthropic's agentic coding CLI — directly against your AWS Bedrock environment, so every inference call is governed by your own Guardrails, logged in your CloudWatch, billed against your AWS account, and grounded in your own engineering documentation. There is no Anthropic-direct API contract to procure, no separate vendor keys to rotate, and no source code leaving your AWS boundary.

What we deliver

• Claude Code configured against Amazon Bedrock cross-region inference profiles (Anthropic Claude Sonnet 4 and Claude Haiku) with zero developer-managed API keys
• Bedrock Guardrails preset for engineering use — content filters, PII redaction, AWS credential blocking and prompt-injection defence
• An engineering Knowledge Base on Amazon Bedrock — backed by S3 and OpenSearch Serverless (or S3 Vectors for cost-sensitive deployments) — seeded with your coding standards, ADRs, runbooks and security baseline
• Pre-built /code-review skill — structured, KB-aware AI pull-request review that posts directly into GitHub or GitLab
• Pre- and post-tool-use audit hooks capturing every action Claude Code takes, for full traceability
• MCP server integration for Knowledge Base retrieval and source-control access
• One-shot developer onboarding script — any engineer is productive in around five minutes
• IAM Identity Center integration with a least-privilege ClaudeCodeDeveloper permission set
• Full Infrastructure-as-Code (AWS CDK) handed over to your team, with CDK Nag passing and CI validation in place

How we deliver it Engagements begin with a complimentary 60-minute scoping conversation. We confirm Bedrock model access, identity model and target Knowledge Base content, then run a fixed-scope build. Hands-on delivery is typically three to five days against a Statement of Work with defined acceptance criteria, followed by an optional two-week hypercare period covering pilot rollout, guardrail tuning and code-review enablement. Everything is delivered as code in a repository your team owns.

Why PurePlay Cloud AI is in our DNA — our own engineers run Claude Code daily and we ship Bedrock-based AI workloads for customers across financial services, ISVs and the public sector. We bring opinionated, battle-tested defaults rather than starting from a blank page, so your engineers are productive on day one and your security team is comfortable from day zero. Where AWS funding (CEI, MAP) is available for AI enablement, we will pursue it on your behalf to offset the engagement cost.

Getting started Get in contact with our team and we will reach out within one business day. We will confirm pre-requisites, identify any AWS funding eligibility, and book your free scoping session.