Systems | Development | Analytics | API | Testing

How to ensure your AI projects are production ready

Join Kong HQ for an insightful LinkedIn Live session titled "How to Ensure Your AI Projects Are Production Ready." As AI continues to transform industries, moving from experimentation to deployment is one of the biggest challenges organizations face. In this session, our experts will dive into what it truly means for an AI project to be "production ready," discussing essential practices around scalability, reliability, governance, and observability.

When AI writes code that humans wouldn't: Testing in the age of agentic coding tools

Agentic coding tools like Cursor, GitHub Copilot, and OpenAI’s Codex are reshaping how software is developed. They enable developers to offload routine tasks and accelerate feature delivery. However, these tools also introduce new challenges – particularly in how we test and validate the code they produce.

Rethinking the Economics of Agentic AI: When 'Cheap' Gets Complicated

Everyone thinks AI is getting cheaper. But is it really? At first glance, the economics of AI seem to be improving for everyone. Thanks to continued model optimization and advances in hardware, the cost of running LLMs (also known as inference) is steadily decreasing. Developers today can access incredibly powerful models at a fraction of what it cost just a year ago. But there’s a catch.

Agentic RAG AI: Why It's the Future of BI Insights and Analytics Tools

If your BI and analytics tool isn’t powered by Agentic RAG AI, you’re missing out on advanced AI capabilities that enhance efficiency and visibility into data. Whereas agentic AI can work autonomously and without human intervention, RAGI AI combines the best information retrieval methods available with the power of AI. The result is deep knowledge of organizational data that improves over time.

AI On Snowflake

AI just got a major upgrade at! We've unveiled a suite of game-changing innovations designed to make AI on Snowflake undeniably easy, remarkably efficient, and deeply trusted. Intelligent Data Agents turning data into action Cortex AISQL supercharging SQL with AI for multimodal insights Expanded access to leading LLMs, fully governed Revolutionary ML tools to build and deploy models faster than ever.

How Distributed Rate Limiting Works with Open-Source Tools

Distributed rate limiting is essential for managing traffic across multiple servers, ensuring fairness, preventing abuse, and maintaining system reliability. Unlike local rate limiting, which works on a single server, distributed rate limiting uses a centralized datastore to enforce limits globally, making it ideal for large-scale applications and multi-node setups.