Memory Over Code: What's Really Broken in AI Agents

The critical flaw in AI agents isn't their coding capability—it's their inability to maintain persistent working memory across sessions. When multiple agents work on the same codebase over time, they contradict each other's patterns and assumptions due to memory loss, not incompetence. The solution lies in governance infrastructure that connects development tools like Jira, Confluence, GitHub, and AWS through MCP to create coherent context across agent interactions.