agent slop
a useful counterweight to full-autonomy rhetoric; sharp framing for where automation helps versus where incomplete evals/datasets drift into low-quality optimization.
What it is: Langfuse post/article on automating the AI engineering loop without producing “agent slop”.
Gist: argues the whole AI engineering loop can now technically be automated, instrumentation, monitoring, dataset building, testing, deployment, but full automation is a trap when human judgment is the product. Keep humans close to trace review, target definition, and quality-bar decisions.
Newsletter angle: “automate the loop, but not your taste” / “agent slop is what happens when evals become the whole target.”
Note: extracted via FXTwitter article payload; fetch was truncated but core argument and key terms were captured.