Michael Nuñez writes about Slack Code, a new product that embeds AI coding agents'', including Anthropic's Claude Code, Cognition's Devin, GitHub Copilot, and Vercel's agent'', into dedicated Slack channels where entire teams can watch, steer, review, and ship software together. The pitch reframes AI coding from a solitary terminal exercise into a "multiplayer" newsroom workflow: tagging an agent spawns a project-specific channel with live code diffs, previews, and a running plan, then archives into a searchable audit trail. Slack argues that with generation no longer the scarce step, the bottleneck has shifted to human judgment, taste, and craft work any team member can contribute to in a shared channel.
- Cognition reported internal merged PRs up 10x while headcount rose only 40%, with engineers simultaneously managing "dozens of agents."
- Security model: agents inherit the invoking user's ACLs with no bot-level or god permissions; Devin sandboxes run with "minimum viable access" and an optional
- Cognition reported internal merged PRs up 10x while headcount rose only 40%, with engineers simultaneously managing "dozens of agents."
- Security model: agents inherit the invoking user's ACLs with no bot-level or god permissions; Devin sandboxes run with "minimum viable access" and an optional
This article presents findings from a survey of over 900 software engineers regarding their use of AI tools. Key findings include the dominance of Claude Code, the mainstream adoption of AI in software engineering (95% weekly usage), the increasing use of AI agents (especially among staff+ engineers), and the influence of company size on tool choice. The survey also reveals which tools engineers love, with Claude Code being particularly favored, and provides demographic information about the respondents. A longer, 35-page report with additional details is available for full subscribers.
