10 Agent Testing Strategy Mistakes That Cost Real Money
I’ve seen 3 production agent deployments fail this month. All 3 made the same 10 agent testing strategy mistakes. Each mistake adds up and can lead to costly consequences that can put your project behind schedule or, worse, lead to a product that doesn’t perform as
How to Set Up Monitoring with OpenAI API: A Step-by-Step Guide
If you’re wondering how to set up monitoring for the OpenAI API, you’re in the right place. This process is vital, especially as reliance on AI technologies grows and the performance of API calls directly impacts the user experience. Here’s how we’re going to
Best DSPy Alternatives in 2026: The Honest Truth
After a solid run with DSPy for 8 months in production: it’s decent for simple tasks, but painful when you push it towards anything complex.
Context
I’ve used DSPy extensively as part of a startup project that aimed to build a personalized recommendation system for e-commerce. We
Mistral API vs Groq: Which One for Startups?
2023 statistics indicate that over 40% of startups failed due to a lack of market need, according to the well-known statistic from CB Insights. Building a product that addresses actual needs is crucial, and choosing the right tool plays an essential role in that. Depending on your
Create a Multi-Agent System with Milvus: A Practical Step-by-Step Guide
We’re building a multi-agent system with Milvus that will help us tackle complex data problems in AI applications. If you think this sounds trivial, think again—multi-agent systems (MAS) could be the key to smarter, more efficient software that scales. We’re talking about systems where agents
Implementing Caching with Groq: A Step-by-Step Tutorial
In building applications that require speedy data retrieval, we’re going to implement caching with Groq to not only speed things up but also improve efficiency—making our application capable of handling complex queries with ease.
Prerequisites
Implementing Tool Calling with FAISS: A Step-by-Step Guide
We’re building a tool calling system with FAISS that can efficiently manage millions of embeddings for similarity search. With the explosion of data being generated, knowing how to implement FAISS for fast nearest neighbor searches is more important than ever.
Prerequisites
After 8 months with Milvus: it’s serviceable for specific use-cases but maddeningly inconsistent for larger projects.
As a developer in the field of data-driven applications, finding the right solutions for managing and querying vector data has been crucial. I started using Milvus about 8 months ago in a project focused on image and text similarity
How to Set Up Monitoring with TGI: A Detailed Step-by-Step Tutorial
If you’re working with TGI (Text Generation Inference), you’re probably already aware of its potential for generating text that’s both relevant and contextually aware. But what about keeping an eye on how it performs? Implementing a proper monitoring system is as crucial as the
FastAPI vs tRPC: Which One for Production
FastAPI has amassed a whopping 96,340 stars on GitHub, while tRPC is fresh on the block. But stars don’t ship features. When debating FastAPI vs tRPC, it’s crucial to weigh each framework’s capabilities, performance, and overall approach to RESTful API design.