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How to Mock AI APIs Using proxymock

APIs often represent the cutting edge of the technology space. This is especially true with Artificial Intelligence – as AI has evolved from speculative technology to mass adoption, it has shown up significantly in APIs as a modality and mechanism. However, as with all new technologies, using AI APIs comes with significant challenges.

Introducing Audiences: AI That Tailors Incident Communication to Every Stakeholder

When incidents strike, clear communication is crucial — but one size doesn't fit all. Customer support needs to know what users are experiencing and possible workarounds, execs need business impact updates and timelines, and engineers need deep technical details. Manually juggling these different communication needs is time-consuming, error-prone, and frustrating when every minute counts.

What Is AI Autonomous Debugging? A Deep Dive into the Future of Software Troubleshooting

In the fast-paced world of software development, debugging remains one of the most time-consuming and complex tasks for engineers. Modern observability tools that use logs, metrics, and traces help developers gain insights into system behavior, but they still require manual effort to identify and fix issues.

Monitor GitHub Copilot with Datadog

AI-powered coding tools are becoming more commonplace within developer workflows. GitHub Copilot is a popular AI coding assistant that can be integrated directly into IDEs or as a standalone chat interface. This tool helps you write code faster and with less effort by auto-completing code in real time, generating blocks of code from natural language prompts, and answering your questions to help you get over coding hurdles and roadblocks.

Building a serverless GenAI API with FastAPI, AWS, and CircleCI

The advancement of AI has empowered businesses to incorporate intelligent automation into their applications. A serverless Generative AI (GenAI) API enables developers to harness cutting-edge AI models without the burden of infrastructure management. This guide walks you through building a scalable and cost-effective GenAI API using FastAPI, a high-performance Python framework with built-in async support and seamless AWS integration.

Enhancing Patient Care Through Integrated IT and Communication Solutions

Healthcare is changing fast, and technology is playing a huge role in making it better. Imagine doctors, nurses, and caregivers working together smoothly, sharing patient information instantly, and making decisions faster. That's the power of integrated IT and communication solutions in healthcare.

Retrieving All Keys in Redis: Commands & Best Practices

Need to list all the keys in your Redis database? If you're debugging an issue or just checking what's stored, retrieving all keys is a useful skill for any developer. This guide covers everything you need to know—from the basic commands to the performance implications—so you can query Redis efficiently without slowing things down.

Generating Calculated Fields From Natural Language

If you’ve been using Honeycomb for a bit, you know that Calculated Fields (otherwise known as derived columns) are a powerful way to transform your events to a format that’s easier to query and understand. However, they use a lisp-esque language that can be difficult to read and a pain to write. If you dislike making Calculated Fields and want something a little easier, here’s a generative AI prompt that can generate them from natural language.

Marty Weiner's AI Predictions: What to Expect in the Next 2 Years

Recorded at Civo Navigate San Francisco 2025, Marty Weiner, co-founder of VerifyYou and former CTO of Reddit, delivers a shocking talk on the current state of AI and its rapid progression. From its impact on various industries to its potential effects on the economy and job market, Marty explores the exciting and terrifying aspects of AI. He also discusses the concept of AGI and its potential implications for civilization. Watch to learn more about the future of AI and what it means for humanity.