agent evaluation frameworks

[DIRECT] "Infrastructure configuration can swing agentic coding benchmarks by several percentage points—sometimes more than the leaderboard gap between top models" — Article quantifies a previously un

Define success before you build: Separate trajectories into outcome, process, and style goals." — Article explicitly presents a framework for evaluating agents by decomposing success criteria into thr

the best way to understand what language models can do is to push them to their limits, and then study where they start to break down" — Author advocates for empirical testing methodology: pushing LLM

glm 4.7 flash is a really underrated local model for agentic work" — GLM 4.7 Flash proven viable for agent deployment despite being underestimated, expanding the tool palette for local agentic systems

The call for 'independent checks' and transparency about human intervention supports the need for standardized evaluation frameworks that capture context, scaffolding, and human loop involvement.