What is VibeOps?
VibeOps is CloudThinker’s conversational approach to cloud operations. Instead of clicking through dashboards or writing scripts, you talk to specialized AI agents using natural language. Describe what you need, and agents handle the rest.Why Conversational Operations?
Traditional cloud operations require deep tool expertise. To find underutilized EC2 instances, you’d runaws ec2 describe-instances, join it with CloudWatch metrics via a script, filter by utilization thresholds, and format the output. To check compliance, you’d navigate Security Hub, apply filters, export a CSV, and build a report. Every question requires knowing which tool, which command, and how to interpret the output.
VibeOps eliminates this barrier. You describe what you need in plain language — @alex find EC2 instances with low utilization — and the agent handles the tool orchestration, metric correlation, and output formatting automatically. This means:
- Non-specialists can run cloud operations — developers, product managers, and executives can ask cloud questions without CLI expertise
- Complex multi-step analysis in one prompt — ask questions that would normally require multiple tools and scripts
- Faster operations — hours of manual analysis compressed to seconds
- Institutional knowledge stays accessible — senior engineers encode expertise in prompts that anyone can use
@agent #tool [instruction] syntax is the core of VibeOps — learn it once, and it works across every domain.
Open a Workspace
Log in to CloudThinker and select your workspace. If you haven’t set one up yet, follow the Quick Start guide first.Make sure you have at least one cloud connection configured — agents need access to your infrastructure to return real results.
Meet the Agents
CloudThinker has five specialized agents. Each is an expert in their domain:
@anna is your starting point — she’s available immediately and can coordinate work across all other agents. The specialist agents activate automatically as you add the relevant connections.
| Agent | Mention | What They Do | Enabled When |
|---|---|---|---|
| Anna | @anna | Coordination across agents, strategy, reporting | Always available (enabled by default) |
| Alex | @alex | Cloud infrastructure, cost optimization, performance | AWS connection, GCP, or Azure connection added |
| Oliver | @oliver | Security, compliance, vulnerability assessment | AWS, GCP, or Azure connection added |
| Tony | @tony | Database performance, query optimization | PostgreSQL connection or MySQL connection added |
| Kai | @kai | Kubernetes, containers, cluster management | Kubernetes connection added |
Write Your First Prompt
In the chat interface, type a natural language request with an Alex will scan your connected AWS accounts and return a resource overview — instance types, regions, services in use.
@agent mention:Add Tool Commands
Tool commands (
Try combining an agent with a tool:
#tool) tell agents what output format you want:| Command | Output |
|---|---|
#dashboard | Interactive visualization with charts |
#report | Detailed analysis document |
#recommend | Actionable recommendations |
#alert | Set up monitoring notifications |
#chart | Data visualization |
Refine and Drill Down
Start broad, then narrow based on results. This progressive refinement is how VibeOps works best:Then follow up:And take action:
Common VibeOps Patterns
- Cost Analysis
- Security Audit
- Performance Check
Tips
- Be specific: “Analyze EC2 costs in us-east-1 for the last 30 days” works better than “show me costs”
- Use context modifiers: Add timeframes, regions, thresholds, and scope to narrow results
- Follow up naturally: Agents remember the conversation context — you can drill down without repeating yourself
- Combine tools: Use
#dashboardfor visuals, then#recommendfor action items on the same topic
Next Step
Code Review
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