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AI Engineering at incident.io

Working on AI in incident management means there's no playbook. No million blogs. Just building at the forefront of what's possible with AI models.In this video, Martha, Product Engineer on our AI team, talks about what it's really like working with AI that helps engineers respond to incidents faster. This covers the shift from traditional engineering, learning the personalities of different AI models, and why you need to embrace constant change when new models drop all the time.

The Need for Clean in the AI Era

In the AI era, software and new models are being born at a breakneck pace—but they’re also bringing a lot of “baggage” into the world. While AI coding agents are busy accelerating innovation, they’re also excellent at generating a massive byproduct: “digital dust.” Between obsolete releases, orphaned dependencies, and massive model versions, your repository may soon start to look more like a digital junk drawer than a streamlined machine.

How to Make AI-Generated Code Reliable with Runtime Context

AI coding assistants like Cursor and Claude Code are driving massive productivity gains, yet they have introduced a critical validation gap in the software delivery lifecycle. While these tools excel at generating syntax, they lack visibility into live production environments. This article explains how Runtime Context, the missing nervous system of AI development, secures production by moving from probabilistic guessing to deterministic, live code validation.

The AI infrastructure gap: why agents fail on fragmented stacks

The initial hype of AI agents is hitting a hard reality: a clever prompt is not a production strategy. As organizations move from experimentation to operationalizing AI in 2026, a systemic bottleneck has emerged: It is not the model's intelligence; it is the model’s context and its access to the right tools. When an AI agent lacks access to live, grounded platform data, it guesses.

Use AI to turn any JSON API into a dashboard in minutes with the Infinity data source plugin and Grafana Assistant

The internet is full of fascinating data just waiting to be visualized and queried. And with the latest update to Grafana Cloud, you can start doing it in minutes. Through public APIs, you can access information about global earthquake activity, weather forecasts, music catalogs, and millions of other datasets. And then there's all the data that sits inside company APIs, partner services, and internal platforms that power everyday products and operations.

AI Merge Conflict Resolution + Commit Messages in GitKraken Desktop

AI-assisted merge conflict resolution is changing how developers handle Git workflows. Watch GitKraken Ambassador Kevin Bost demonstrate AI-powered features that eliminate merge conflict dread, clean up messy commit history, and generate contextual commit messages in seconds.

How Ecommerce Brands Are Using AI to Scale Faster and Spend Less

Running an ecommerce business has never been easy. Between managing inventory, writing product descriptions, handling customer service, and keeping up with marketing demands, the workload can feel endless. But something has changed in the last couple of years. Artificial intelligence has moved from being a buzzword in tech circles to becoming a practical, everyday tool that ecommerce brands of all sizes are using to grow without burning through their budgets.

8 AI Video Generators for Marketing Agencies Ranked by Iteration Speed

Tuesday morning. A brief lands: ten ads due Friday-no crew, no studio. Yesterday that meant panic; today you open one of the fastest-iterating AI video generators, type a prompt, and watch a finished clip appear before the coffee cools. Speed is the new creative currency. Yet platforms differ. Some surface concept loops in seconds, others render polished talking-head explainers in minutes. Which tool truly wins the sprint from prompt to publish?