Why You Shouldn’t Use LLMs for Every Decision: Building Fast, Calibrated AI Agents with Jev If you build autonomous AI agents in production, you are familiar with the latency bottleneck. A standard agent workflow operates in an iterative loop: perceive → decide → act → evaluate. In early implementations, developers defaulted to routing every step […]
Introduction Learn how to leverage AI agents to transform one requirement into reviewed specification, architecture, Flutter implementation, tests, and proof-of-release. My previous article discussed how specifying a well-defined specification can help developers and AI agents in a reliable manner. However, what would happen if an agent had to learn the product, design, implement, test, and […]
Introduction Artificial Intelligence is rapidly becoming a key component of modern enterprise applications, enabling businesses to automate workflows, understand documents, perform intelligent searches, and deliver personalized user experiences. However, building production-ready AI solutions involves much more than integrating an AI model—it requires seamless integration with existing .NET architectures while ensuring security, scalability, reliability, and governance. […]
Introduction Test automation is a core part of software development. Tools like Playwright make end-to-end testing easier with reliable browser automation, smart waits, and strong support for modern web apps. But even with these tools, a lot of work still feels repetitive. Engineers spend significant time on: Planning what to test Writing test scripts Fixing […]
Preface AI agent development is fleetly arising as one of the most instigative borders in software invention. As large language models( LLMs) continue to evolve, we witness the integration of AI agents into software ecosystems. These agents promise a future where tasks can be fulfilled seamlessly using voice, gestures, or simple prompts, barring the need […]
