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Announcing Rootly AI Labs: Accelerating Reliability Engineering Through Community-Driven Innovation

Announcing Rootly AI Labs: Accelerating Reliability Engineering Through Community-Driven Innovation

Reliability engineering is evolving quickly—and AI is the catalyst. That’s why we’re excited to unveil Rootly AI Labs, a community-focused program dedicated to reshaping reliability through open collaboration, innovative prototypes, and cutting-edge research.

Sylvain Kalache

Sylvain Kalache

April 25, 2025
5 mins
Llama 4 underperforms: a benchmark against coding-centric models

Llama 4 underperforms: a benchmark against coding-centric models

Rootly AI Labs analyzes the performance of Meta’s Llama 4 models and finds they underperform compared to competitors like Claude 3.5 Sonnet and Qwen2.5

Sylvain Kalache

Sylvain Kalache

April 11, 2025
6 mins
Introducing the Rootly MCP Server

Introducing the Rootly MCP Server

Connect Rootly to Cursor, Claude or Copilot with our open source MCP Server, available on GitHub.

Sylvain Kalache

Sylvain Kalache

March 20, 2025
5 mins
Introducing Rootly’s API AI-Agent-First Approach

Introducing Rootly’s API AI-Agent-First Approach

Rootly’s AI-agent-first API, built on the Agents JSON standard, enables LLM-powered agents to automate workflows, streamline data handling, and enhance incident response.

Sylvain Kalache

Sylvain Kalache

February 25, 2025
3 mins
Classifying Error Logs with AI: Can DeepSeek R1 Outperform GPT-4o and Llama 3?

Classifying Error Logs with AI: Can DeepSeek R1 Outperform GPT-4o and Llama 3?

Can a smaller AI model outperform a larger one? A distilled version of DeepSeek R1 (70B) outperformed Llama and nearly matched GPT-4o in classifying error logs. These results suggest that model efficiency, not just size, is key to AI performance in incident management.

Sylvain Kalache

Sylvain Kalache

February 19, 2025
6 mins