Agent Ops: Context, Gateways, Self‑Hosted Agents & Dev
PromptQL Turns Teams and Slack Messages into Secure Context for AI Agents. PromptQL turns Slack and Teams conversations into a secure canonical shared wiki that gives agents real-time, queryable context and automatically actionable work assignments. Outcome engineers can use this virtual data layer to reduce brittle prompt engineering and provide agents dependable, auditable context.
Portkey open-sources its AI gateway after processing 2 trillion tokens a day. Portkey open-sources a unified AI Gateway and MCP gateway that teams can deploy to enforce self-hosted governance, routing, and policy control across agent traffic. Outcome engineers get an operational choke point for observability, access controls, and enterprise kill switches — essential for production agent fleets.
Slack adds 30 AI features to Slackbot, its most ambitious update since the Salesforce acquisition. Slack upgrades Slackbot into an agentic OS with features that automate meetings, workflows, and third-party integrations. If you build outcome pipelines inside collaboration software, this shifts where orchestration and delegation live and forces new security and context practices.
Agent-driven development in Copilot Applied Science. GitHub Applied Science makes Copilot-powered coding agents primary contributors, replacing manual evaluation toil and accelerating analysis and team collaboration. This models agent-first delivery lanes for engineering work — a blueprint for teams moving from human-only workflows to agentic factories.
Why Cursor is bringing self-hosted AI agents to the Fortune 500. Cursor enables enterprises to run cloud agents in their infrastructure so code execution, testing, and build artifacts stay local while preserving automation. Outcome engineers should treat self-hosted agents as part of the secure infrastructure stack: they change trust boundaries, deployment patterns, and compliance controls.