How is this different from asking an AI chatbot?

You can still use your own AI assistant. SkaleAgents adds reusable specialist instructions, a prompt library, and tool connections for architecture reviews. The web workflow keeps audit jobs and shared Watchtower reviews in one place.

Do I need to connect my cloud account or repository?

No. You supply code, infrastructure text, and optional telemetry. The MCP client sends content included in tool calls; the web audit uses the text you submit. A review can only assess the context it receives.

Will an agent change my production infrastructure?

No. These workflows produce findings and recommendations for you to review. Submitting an audit or opening a Watchtower session does not deploy changes. Validate proposed fixes and apply them through your own development and deployment process.

Can I try it without an account?

Yes. Browse the bot directory, prompt library, and review reference docs without signing in. Google sign-in is needed to create or manage your own bots and prompts, authorize MCP connections, and use account-owned audit workflows.

Which AI assistants and editors can I use?

Prompt pages can open Claude, ChatGPT, Grok, Codex, or Perplexity. For tool calls, connect Cursor, Claude Code, Claude Desktop, ChatGPT, or Codex to the hosted MCP server through OAuth.

SkaleAgents

SkaleAgents provides DevOps review tools and specialist prompts for developers. Connect AI in your editor via MCP or submit infrastructure audits in the web app for security, reliability, and performance insights. Built for engineers and small teams.

Visit SkaleAgents

Summary

SkaleAgents is a DevOps review platform that lets developers check code and infrastructure configurations through AI assistants. Connect the AI you already use (Cursor, Claude, ChatGPT), and it analyzes your application and infrastructure, delivering improvement recommendations directly in the conversation.

What is SkaleAgents?

SkaleAgents offers reusable specialist prompts and architecture review tools. You can use pre-built bot instructions in your AI assistant, call review tools inside your editor via MCP (Model Context Protocol), or submit audit jobs in the web app. The platform covers DevSecOps, SRE, MLOps, and performance optimization, standardizing review workflows into repeatable processes.

Core Capabilities

MCP integration — call review_architecture directly in Cursor, Claude Code, ChatGPT, and other editors
Bot directory — browse and use pre-built review instructions by specialty (security, reliability, cost)
Interactive examples — edit deployment settings and watch sample findings update in real time (local rule demo)
Watchtower collaboration — submit audit jobs, then share and discuss findings with your team
Scheduled audits — set cron expressions to review infrastructure text or public GitHub files on a schedule
Creator Studio — customize review templates and create private or public bots

Pros

No tool switching — complete reviews in your existing editor and AI assistant; results appear in the same conversation
Expert-level instructions — pre-built bots cover DevSecOps, SRE, MLOps, and more, no need to write prompts from scratch
Transparent review logic — every finding cites relevant code, explains impact, and provides validation steps
No account to browse — public bots, prompt library, and review reference docs are accessible without sign-in
Flexible workflows — supports live chat, editor tool calls, and web-based scheduled audits

Positioning & best fit

SkaleAgents is built for engineers and small development teams who need structured DevOps reviews without setting up full CI/CD pipelines. You supply code or infrastructure configuration (Terraform, Kubernetes manifests), and the platform returns concrete recommendations via AI analysis.

DevOps engineers — quickly check IaC configurations for security and reliability issues before deployment
SRE teams — review service availability settings (replica count, health checks, resource limits)
Small dev teams — get professional reviews without dedicated security or infrastructure specialists, using pre-built bots
MLOps practitioners — inspect AI workload scalability and cost configurations