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AI SRE: The Next Critical Application of AI in Software Engineering
Technology

October 1, 2025-Ben Jaderstrom, Manveer Sahota

AI SRE: The Next Critical Application of AI in Software Engineering

Software engineering has embraced code generation, but the real bottleneck is production. Downtime, degradations, and war rooms drain velocity and cost millions. This blog explains why an AI SRE is the critical next step, how it flips the script on reliability, and why it must be part of your AI strategy now.

The role of multi agent systems in making software engineers AI-native
Technology

September 26, 2025-Spiros Xanthos, Gabor Angeli, Bharat Khandelwal

The role of multi agent systems in making software engineers AI-native

Discover why most AI approaches like LLMs or individual AI agents fail in complex production environments and how multi-agent systems enable truly AI-native engineering. Learn the architectural patterns from our Stanford presentation that help engineering teams shift from AI-assisted to AI-native workflows.

When Resolve AI traced an app error through k8s to a hardware problem in just 3 minutes
Product

September 24, 2025-Iain Methe, Varun Krovvidi

When Resolve AI traced an app error through k8s to a hardware problem in just 3 minutes

Watch how Resolve AI investigates a service timeout from application logs through Kubernetes pods down to failing memory modules in a UCS blade - building a complete causation chain in 3 minutes. See the stark contrast between traditional multi-team incident response (4 teams, multiple tools, hours of coordination) and AI-native investigation that maps dependencies from app code to storage infrastructure without organizational handoffs. Learn why engineering silos slow incident response and how AI agents can reason across the entire production stack as one connected system.

How to Evaluate a Production Ready AI SRE
Technology

September 17, 2025-Mayank Agarwal, Manveer Sahota

How to Evaluate a Production Ready AI SRE

Learn how to evaluate an AI SRE to ensure they run in your unique production environments. This guide explains the five agentic pillars, six key evaluation dimensions, and enterprise readiness criteria that separate production-ready AI SRE from experiments.

Why did I choose to join Resolve AI?
Company

August 20, 2025-Daniel Pham

Why did I choose to join Resolve AI?

After 10 years at MongoDB and New Relic, Dan explains why he joined Resolve AI to solve the operational bottleneck every AI-forward engineering team will face. From observing incidents to autonomously resolving them.

Why did I choose Resolve AI as my next chapter?
Company

August 19, 2025

Why did I choose Resolve AI as my next chapter?

Software runs the world. But when it breaks, business slows. Deals stall. Customers churn. Teams lose momentum. With AI code generation accelerating how fast software is shipped, companies need Resolve now more than ever. That is why I joined Resolve AI as VP of Worldwide Sales. I am excited to partner with the most strategic customers in the world to keep their software reliable and free up their engineers to focus on innovation instead of war rooms.

You Can Try to Build an AI SRE. But Should You?
Technology

August 13, 2025-Manveer Sahota

You Can Try to Build an AI SRE. But Should You?

This blog unpacks the build-versus-buy dilemma for agentic AI SRE. We examine why nearly 95% of internal efforts stall at brittle prototypes like RAG bots and LLM wrappers, what it really takes to design a production-ready multi-agent system, and the strategic questions leaders must ask before committing scarce engineering talent.

The role of logs in making debugging conversational
Product

August 7, 2025-Priyatham Bollimpalli

The role of logs in making debugging conversational

AI generates code in seconds, but debugging production takes hours. Learn how conversational AI debugging can match the speed of modern code generation. And what role do logs play in it?

Resolve AI is now available on AWS Marketplace
Company

July 16, 2025-Manveer Sahota

Resolve AI is now available on AWS Marketplace

Resolve AI is now available in the new AI Agents and Tools category on the AWS Marketplace, as announced at the New York AWS Summit on July 16, 2025. AWS customers can now easily procure and use Resolve AI directly from the AWS Marketplace.

Is Vibe debugging the answer to effortless engineering?
Product

July 8, 2025-Steven Karis, Varun Krovvidi

Is Vibe debugging the answer to effortless engineering?

Vibe debugging is the process of using AI agents to investigate any software issue, from understanding code to troubleshooting the daily incidents that disrupt your flow. In a natural language conversation, the agent translates your intent (whether a vague question or a specific hypothesis) into the necessary tool calls, analyzes the resulting data, and delivers a synthesized answer.