The 3 hardest technical problems I hit building an AI agent that calls real APIs
Not a launch post. Just things I wish someone had written down before I spent a month figuring them out. 1. LLMs send partial payloads on write operations You ask the agent to update a record. It sends only the fields you mentioned in the prompt. The PUT request goes through, returns 200, and you've silently wiped every field you didn't specify. The fix: before every write call, fetch the...
What’s the biggest challenge you’ve faced using AI agents in production?
I’ve been experimenting a lot with AI agents connected to APIs recently. They’re powerful, but I keep running into issues like: lack of control over what gets executed difficulty handling auth safely limited visibility into what actually happened Curious — for those building with agents, what’s been the hardest part in real-world use? Would love to hear your experience.