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AI Agents

AI coding agents, Copilot, agentic workflows, and LLM-powered automation.

MCP security scanning concept diagram showing how to audit AI agents and connected tools, highlighting security checks, permission boundaries, and risk analysis in agent-to-tool integrations.

Hayssem Vazquez-ElsayedApr 2026

MCP Security Scanning: Audit Your AI Agent's Tools

CI at scale dashboard showing Stripe’s system processing 1,300 agent pull requests per week, highlighting automated code review workflows, continuous integration performance metrics, and developer productivity insights.

Eddie WangApr 2026

What Stripe's 1,300 Agent PRs Per Week Reveal About CI at Scale

Explaining the hidden CI tax of AI coding agents, showing how automated code generation increases continuous integration workload, including more builds, test runs, and pipeline costs in a software development workflow.

Eddie WangApr 2026

The Hidden CI Tax of AI Coding Agents

Explaining the Claude Code source leak, highlighting exposed AI agent behaviors and what it reveals about trust, security risks, and system transparency.

Hayssem Vazquez-ElsayedApr 2026

Claude Code Source Leak: What It Reveals About AI Agent Trust

Copilot Coding Agent Observability: From Black Box to Audit Trail,' showing the shift from opaque AI agent behavior to transparent, auditable workflows

Eddie WangMar 2026

Copilot Coding Agent Observability: From Black Box to Audit Trail

Explanation of GitHub agentic workflows and how autonomous agents automate development tasks

Marina RivosecchiMar 2026

GitHub Agentic Workflows Explained

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