APM 360 correlates all essential telemetry data across the application stack and development cycle, such as – deployment changes, key transactions, Service Level Objects (SLOs), logs, infrastructure, errors, security, debugging, and more.

Source: https://www.helpnetsecurity.com/2023/06/26/new-relic-apm-360/

First up was a set of tools for debugging that can be used to help a prompt engineer track, trace and debug potential errors in a prompt chain (a set of prompts); the prompt chain is used together or in succession to get the ideal result.

Source: https://venturebeat.com/ai/weights-and-biases-debuts-llmops-tools-to-support-prompt-engineers/

It comes with an excellent code editor, efficient debugging capabilities, and comprehensive source control support.

Source: https://www.devicemag.com/do-i-need-xcode-on-my-mac/

Still developer-focused but not an AI infrastructure startup per se, autonomously handles small dev tasks like high-level debugging and feature requests.

Source: https://techcrunch.com/2023/09/06/5-neat-ai-startups-from-y-combinators-winter-2023-batch/

The Google Bard AI chatbot can now complete various programming and software development tasks such as code generation, code debugging, and explanation of code.

Source: https://www.digitaltrends.com/computing/everything-chatgpt-refuses-to-do/