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What if your first AI agent doesn’t fail because the LLM is bad—but because you treated an agent like a chatbot? Building an AI agent is surprisingly easy. Building one that can be trusted in producti
What if the biggest mistake companies make with AI is treating agents like smarter chatbots? Many organizations are investing heavily in Large Language Models (LLMs), yet they are still building syste
After 30 years of building software systems, I’ve learned one uncomfortable truth: the hardest systems to design are not the most complex ones — they are the ones that have lost their simplicity. Why
"Adding more AI agents doesn't automatically create a smarter system. Sometimes it just creates a faster way to produce chaos." Over the past year, AI agents have become the hottest topic in software
Most APIs are easy to build. Very few are easy to evolve. The difference usually isn't the framework, language, or cloud platform. It's what the API is designed around. Many teams unknowingly design A
"Should we migrate to NoSQL to scale?" It's one of the most common questions in software architecture. Ironically, it's often the wrong question. Many engineering teams don't struggle because they cho
For years, software architecture has been built around a simple assumption: humans write code, systems execute it. That assumption is breaking. AI agents are no longer just autocomplete tools sitting
The biggest scalability problem in cloud isn't technical—it's financial. Most AWS architectures can scale. The real question is: Can your cloud bill scale slower than your traffic? Many engineering te
"If you're still designing NoSQL databases like relational databases, you're probably losing most of their advantages." Many developers learn MongoDB, DynamoDB, Cassandra, or Couchbase by replacing SQ
