

How Slack AI Agents Accelerate Dev Productivity | Samuel Messing
17 snips Sep 30, 2025
In this conversation with Samuel Messing, VP of Engineering for Search and AI at Slack, listeners dive into the world of enterprise AI. Samuel emphasizes the critical role of context in enhancing productivity and reducing information overload. He highlights the innovative ‘AI Explain’ feature that synthesizes information for quicker comprehension. The discussion also touches on compliance measures for data safety, AI's role in development workflows, and the importance of curiosity and critical thinking as essential skills for future developers.
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Context Is The Core Enterprise Problem
- Enterprise AI must manage massive, changing context to be useful.
- Slack combines search and LLMs to selectively surface accurate contextual data for responses.
Newspaper Uses AI To Synthesize Wire Feeds
- A major newspaper feeds AP wire into Slack and uses AI to synthesize updates.
- Slack's AI Search Answers turns many push updates into a single, cited human-readable summary.
Choose Between Coverage And Synthesis
- Use search for complete coverage and LLMs for synthesis depending on role needs.
- Match tool choice to whether recall or summarized insight is primary for the job.