The AI SRE race will not be won by the agent that diagnoses fastest. It will be won by the system that operators trust enough to grant write access.
A personal note on where AI for operations is actually heading.
Over the past year a new category filled up fast. Depending on how you count, there are now more than a dozen credible tools that call themselves AI SREs. I have watched the space closely, partly because we are building in it, and partly because the speed of convergence is genuinely interesting.
Here is what nearly all of them do. They connect to your telemetry, your code, and your incident tooling. They correlate logs, metrics, and traces. When an alert fires, they form hypotheses, test them against the evidence, and post a likely root cause into Slack, often in under a minute. This is real progress. A few years ago none of it worked. Today most of it does.
Phase one is real
Diagnosis is real progress. But it is just phase one.
Platform engineering represents the natural evolution of DevOps and SRE principles, but it faces a fundamental challenge: how do you scale platform expertise across an entire organization without requiring every developer to become a cloud expert?
This is where Nova comes in — your AI platform engineer that makes infrastructure accessible to everyone through natural conversation.
The Platform Engineering Evolution
DevOps broke down silos → SRE brought engineering rigor to operations → Platform Engineering created self-service infrastructure → Nova makes platform engineering conversational and accessible to everyone.
The Platform Engineering Challenge: Scale vs. Expertise
Platform engineering promised to solve the "you build it, you run it" scaling problem by creating Internal Developer Platforms (IDPs). But even the best platforms face fundamental limitations:
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Expert Bottlenecks
Platform teams become the new constraint—everyone depends on their expertise
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Documentation Decay
Complex systems require constant documentation that quickly becomes outdated
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Context Loss
Critical operational knowledge lives in tribal knowledge, not systems
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Cognitive Load
Developers still need to understand infrastructure concepts to use platforms effectively
The Core Issue
We've built self-service platforms, but we haven't solved the underlying problem of democratizing platform engineering expertise.
Nova is an AI platform engineer that helps you manage infrastructure through natural conversation. Ask questions, get answers, generate configurations, and troubleshoot issues — all through simple chat.
What makes Nova different:
Works with your existing tools (Slack, GitHub, AWS, Terraform, Kubernetes, and more)
Available however you want to work — browser, self-hosted, or in your editor
Nova's power comes from its extensibility. Connect the tools you already use:
Available Skills:
Cloud Providers — AWS, Google Cloud, Azure cost calculations and resource management
Communication — Slack integration for team collaboration
Development — GitHub for code search, issues, and PRs
Infrastructure — Terraform and Helm configuration generation
Kubernetes — Cluster management and troubleshooting
And more — Add any MCP server for custom integrations
Bring Your Own Tools
Nova Direct includes the built-in MCP Marketplace for custom integrations. Nova Connect works through standard MCP-compatible clients, so teams can bring Nova into existing editor and CLI workflows without running the server locally.
The evolution from DevOps → SRE → Platform Engineering → AI-Assisted Platform Engineering represents more than technological progress — it's about democratizing expertise that has historically been scarce and expensive.
Traditional Model
Small teams of platform experts serve entire organizations
