Developer tools
SkaleAgents
Control plane for AI DevOps agents.
- Category
- Developer tools
- Stage
- Beta
- For
- DevOps teams and developers using AI agents
About
Sign in with Google, publish specialist agents, connect MCP from your IDE. One control plane for AI DevOps work.
Features
- Problem
- Starting a DevOps review with a blank assistant chat can be inconsistent.
- How it works
- Users browse public specialist bots and prompts, then open or copy their instructions into an AI assistant with their own project context.
- Result
- A repeatable, task-specific review prompt that users can adapt and validate.
- Why
- Reusable specialist instructions provide a focused starting point without requiring a separate trained model.
- Problem
- Moving between an editor and a review can interrupt developers’ workflow.
- How it works
- Compatible AI clients connect to SkaleAgents through MCP and can call `review_architecture` with supplied source or infrastructure.
- Result
- Architecture review findings and recommendations alongside the existing AI conversation.
- Why
- The assistant can return findings in the conversation where the developer is already working.
- Problem
- Infrastructure issues can be difficult to connect to concrete fixes.
- How it works
- Specialist reviews examine supplied code or infrastructure text for concerns such as public exposure, permissions, reliability, and capacity, and suggest next steps.
- Result
- Actionable review guidance that engineers can validate before making changes.
- Why
- Linking a finding to the provided context makes the concern and possible response easier to assess.
- Problem
- Teams may want to explore review behavior before sharing their own context.
- How it works
- An editable browser demo applies three local rules to sample deployment settings and updates sample findings.
- Result
- Visitors can see sample checks for replicas, readiness probes, and memory limits without sending data to an API.
- Why
- A clearly bounded example demonstrates how settings relate to findings without implying a live audit.
- Problem
- Teams need a shared way to inspect and repeat infrastructure reviews.
- How it works
- Signed-in users can submit infrastructure text as audit jobs, inspect findings in Watchtower sessions, share sessions, and schedule audits with a cron expression and timezone.
- Result
- A repeatable, shareable audit workflow with optional webhook completion or failure alerts.
- Why
- A web workflow supports team review and recurring checks beyond an individual assistant conversation.
Product questions
What does SkaleAgents do?
SkaleAgents gives developers reusable DevOps specialist prompts and review tools for examining supplied code, infrastructure, and optional telemetry. Teams can use bots in an AI assistant, call review tools through MCP, or submit audit jobs in the web app.
Who is SkaleAgents for?
DevOps teams and developers using AI agents
Screenshots
