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Most agent harnesses that have not been designed from scratch for current models are over-engineered. Chances are whatever was needed to make earlier models pe
by tosh 4mo ago
Most agent harnesses that have not been designed from scratch for current models are over-engineered.
Chances are whatever was needed to make earlier models perform well now either is no longer helping much or actively hurts performance (worse results, slower, uses more tokens …).
- bluelightning2k 4mo agoAgreed! Example: for large Eloqua/Marketo/HubSpot emails we would previously make a planner which delegated the sections to their own call. GPT5.6 can do the whole thing. The planner is unhelpful. My suggestion: feature flag your complex implementations so you can rapidly contrast with and without it. (Or a formal eval suite if you have one). If you prefer the simpler path, delete the old path. Note: the challenge is making things compatible with these tools. Obviously generating html directly has been simple for ages. (Source: mopsy.ai)