Building Better Agents through End-to-End Evals (dev.to)dev
36 points by @ryan_stevens in dev.to · 42h ago · 10 dev
Deeply understand the task at hand The biggest mistake teams make with agents is...
Tech / DEV · hot matching “agents”
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I built a lie detector for AI coding agents. Then I read the rules. (dev.to)dev
26 points by @dannwaneri in dev.to · 21h ago · 16 dev
When an AI agent commits a change to code, it makes a claim about what it changed: "fixed typos" or... -
Memory Isn’t Learning: Why AI Agents Keep Making the Same Mistakes (dev.to)dev
18 points by @sparsh_jain_ai in dev.to · 42h ago · 6 dev
Have you ever told your AI agent something important, only to realize a few conversations later that... -
Your Financial Agent Passed Every Eval. Can You Defend Its Decision? (dev.to)dev
18 points by @aniveera1 in dev.to · 42h ago · 4 dev
In audit, the opinion is the product, and an opinion is only as good as its basis. Being right isn’t... -
If You Never Do Anything Else to Fix Your Prompts, Do This One Thing (dev.to)dev
15 points by @randalschwartz in dev.to · 4d ago · 7 dev
Why do LLMs confidently invent APIs that have never existed in the history of the universe? It is not a memory defect. Agents hallucinated because they were committed to the prompt—and Fernando Flores solved the root cause in 1986.