Pair Programming with Ai Agents & AI Coding Workflows by Meenakshi Sundaram, Manager @Google
Gemini CLI,Claude Code, Codex, and OpenClaw are turning software engineering into an agent-orchestrated workflow — where AI writes features, hunts bugs, fixes failures, and reviews pull requests before you finish your coffee.
This session explores how builders are shipping faster by running autonomous coding loops instead of traditional dev cycles.
What’s happening now
⚡ Gemini , Claude Code & Codex generating multi-file features and refactors
⚡ OpenClaw executing real dev tasks across shell, browser, and system tools
⚡ Agents debugging failures and proposing verified fixes
⚡ MCP making tools, context, and systems agent-aware
⚡ AI reviewing PRs and enforcing architecture & security rules
What we’ll explore
🔍 Debugging in the agent era
• plan → execute → observe → repair loops
• tracing failures across services & agent workflows
• semantic correctness vs runtime correctness
🏗 Architecture & System Design for agent workflows
• designing systems that are debuggable by design
• building extensible, tool-aware architectures
• orchestrating agents safely across environments
⚡ MCP (Model Context Protocol) as the power layer
• making tools & services discoverable to agents
• context injection & intelligent runtime decisions
• enabling secure, scoped tool execution
🛡 Automated Code Review Pipelines
• AI PR reviews & architectural linting
• policy, security & performance guardrails
• continuous quality gates & self-improving codebases