CloudThinker - CloudThinker

CloudThinker AI agent orchestrating cloud operations — incidents resolved, PRs reviewed, costs optimized, security remediated, debug output

CloudThinker is an Autonomous Cloud Operations (AgenticOps) platform: specialized AI agents manage infrastructure, review code, resolve incidents, and optimize costs across AWS, Azure, GCP, and Kubernetes.

Start here

Three first tasks, each 5–10 minutes with a result you can verify. New workspace? Connect AWS first — the quickstart walks you through it.

Run your first cost analysis

Find idle resources, oversized instances, and unused commitments — with projected monthly savings

Set up code review

Connect a Git repository and get AI review comments on the next pull request

Investigate an incident

Wire Pulse to your monitoring and let agents form hypotheses, gather evidence, and propose remediation

Choose your goal

Pick the outcome you want next. Each goal maps to a guided path.

Spend less

CostOps — continuous spend audit across AWS, Azure, and GCP with rightsizing recommendations and approval-gated remediation

Ship safer

Code Review — every PR reviewed with context from running infrastructure, past incidents, and your team’s conventions

Resolve incidents faster

Deep Response Engine — Pulse strips noise from monitoring; agents investigate the rest and run approved runbooks

Assess your cloud posture

Assessment — Well-Architected analysis across resources and pillars, on demand

Automate recurring ops

Autonomous agents + skills — encode your runbooks, conventions, and policies so the loop runs without restating them

Learn the platform end to end

Tutorial — run your role’s first prompts against your live environment, then follow the chain into your first module setup

How CloudThinker works

Every module runs the same agentic loop: Detect → Analyze → Resolve → Validate.

Phase	What happens
Detect	Agents watch signals from your connections — metrics, cost data, pull requests, alerts.
Analyze	The agent correlates the signal with topology, history, and team knowledge to form a plan.
Resolve	The plan executes under your autonomy mode — Manual or Auto — with approvals gating sensitive actions.
Validate	The agent verifies the outcome and writes the result back into memory for the next iteration.

You stay on the loop, not in every step: set the goal, choose the autonomy mode, and intervene when judgment matters. The AgenticOps field guide covers the reference architecture and governance discipline behind the loop.

The six modules

Code Review

AI review on every PR with context from running infrastructure, past incidents, and team conventions. Inline comments, reproduction steps, suggested patches.

Deep Response Engine

Pulse suppresses monitoring noise. When something escalates, agents form hypotheses, gather evidence, and run approved runbooks.

CostOps

Continuous spend audit across AWS, Azure, and GCP. Idle resources, oversized instances, unused commitments — surfaced with projected savings and approval-gated remediation.

SecOps

Research PreviewContinuous configuration assessment and vulnerability scans across cloud, container, and IaC layers. Findings ranked by exploitability; fixes opened as pull requests.

ChatOps

Agents operate inside Slack, Microsoft Teams, and the CLI. Query infrastructure, approve actions, and review changes without leaving your workflow.

Skills

Reusable packages of runbooks, conventions, and policies that agents load automatically — your team’s expertise compounds instead of leaving with the engineer who wrote it.

Why CloudThinker

Cloud operations is spread across disconnected consoles — Cost Explorer, Datadog, GitHub, and more — none of which share state, so every incident, cost review, and security fix starts with a human reassembling context. CloudThinker replaces that with a team of agents that already hold the context: they watch your environment continuously, act inside the guardrails you define, and record what they learn so the next run starts smarter. You get the leverage of a larger operations team without the tool sprawl, and every action stays auditable and approval-gated. Start with the quickstart, or read the AgenticOps field guide for the architecture and adoption discipline behind the platform.

​Start here