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
Salesforce is pivoting toward a headless model with its Headless 360 initiative, allowing users to access CRM data through external tools like Claude, ChatGPT, Slack, and WhatsApp rather than relying on the traditional user interface. This strategy aims to reduce context-switching for knowledge workers by integrating Salesforce directly into their existing workflows. The approach has already seen significant adoption, with Anthropic increasing its Sales Cloud usage fivefold after accessing it via headless interfaces.
Salesforce has unveiled "Headless 360," a major architectural overhaul designed to transform its platform into programmable infrastructure for AI agents by exposing all capabilities via APIs, MCP tools, and CLI commands. This initiative aims to move beyond traditional graphical user interfaces, allowing developers to build and deploy agentic workflows across various third-party environments like Slack and Microsoft Teams without needing to log into the Salesforce UI directly. By introducing specialized tooling such as "Agent Script" for deterministic control and transitioning toward a consumption-based pricing model, Salesforce is positioning itself to remain the essential substrate for enterprise AI agents in an era where traditional SaaS models face obsolescence.
SRE.ai, a Y Combinator-backed startup, has raised $7.2 million to develop AI agents that automate complex enterprise DevOps workflows, offering chat-like experiences across multiple platforms.
The article discusses the emergence of AI agents in enterprise IT, highlighting Orby's development of Large Action Models (LAMs) designed for automating complex workflows. These models, unlike traditional LLMs, process actions such as application interactions and automate tasks in enterprise environments like Salesforce and SAP. The concept of 'traces,' sequences of actions for specific tasks, is used to fine-tune LAMs, and Orby's AI agent software stack allows for customization and scaling by technical personnel.
Learn how to fine-tune large language models like Llama 3 for function calling, enabling interaction with external tools and APIs for tasks like web search and math operations.
