Topic

LLM agent testing

Testing software that calls language models in an agent loop, where the same input can produce different behaviour between runs and the model may not call the tool a test expects.

Current clusters

build1 publisher

Why one team skipped 2,284 of 2,490 possible test runs, already settled by deterministic assertions

agent-tooltrust ran 206 live model calls instead of 2,490 and reports identical coverage, on the argument that the only thing a real LLM adds is proof that each framework adapter can surface all four verdicts.

Publishers:dev.to

Reality

Evidence45
Adoption12
Hype gap+8
Incentives60
Confidence50