awslabs/amazon-bedrock-agentcore-samples
May 2026 – May 2026
1 Month active
Languages Used
BashJavaScriptMarkdownPythonTypeScript
Technical Skills
AI integrationAPI integrationAWSExpress.jsNode.jsPython
Guy Bachar
PROFILE
Guy Bachar
Developed and delivered the Pay-for-content Browser Payment Agent for the awslabs/amazon-bedrock-agentcore-samples repository, focusing on enabling autonomous access to paywalled content. The solution leveraged Node.js and Python to build a browser agent that reads x402 payment requirements from the DOM, processes payments through AgentCore, and unlocks content without requiring private keys or human intervention. Hosted on AgentCore Runtime with scoped IAM and enhanced observability, the implementation improved security and traceability. Additional work included refining payment status parsing, repository management, and maintainability enhancements such as CLI status parsing fixes and .gitignore scaffolding, contributing to a more robust automation stack.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
4,306
Activity Months1
Work History
May 2026
3 Commits • 1 Features
May 1, 2026May 2026 monthly summary for awslabs/amazon-bedrock-agentcore-samples. Focused on delivering the Pay-for-content Browser Payment Agent end-to-end, hosting on AgentCore Runtime with scoped IAM and observability, and targeted maintainability improvements. This work reduces friction to access paid content, improves security by avoiding private keys, and strengthens the automation stack.
3 Commits • 1 Features
May 1, 2026May 2026 monthly summary for awslabs/amazon-bedrock-agentcore-samples. Focused on delivering the Pay-for-content Browser Payment Agent end-to-end, hosting on AgentCore Runtime with scoped IAM and observability, and targeted maintainability improvements. This work reduces friction to access paid content, improves security by avoiding private keys, and strengthens the automation stack.
May 2026
Activity
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Quality Metrics
Correctness93.4%
Maintainability80.0%
Architecture93.4%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
BashJavaScriptMarkdownPythonTypeScript
Technical Skills
AI integrationAPI integrationAWSExpress.jsNode.jsPythonbackend developmentcloud computingfull stack developmentmicroservices
Repositories Contributed To
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