Best AI tools for software engineers: how to build the right AI stack

What this post added

This post details how Glean's agent orchestration platform provides the context layer for an engineering AI stack. It highlights the importance of context across various enterprise systems (code, tickets, incidents, docs, chat) for AI tools to be effective. Glean's capabilities include building an enterprise context graph, providing hybrid lexical + semantic search, enforcing permission-aware access, acting as an MCP server for IDE integrations, and enabling agents to convert tickets/threads into PRs. The post also discusses evaluation criteria for AI tools, focusing on context awareness, trust earned through grounding and source linking, data security and governance, and workflow integration.