Agentic Eval is still massively under-resourced as a field
1:17 AM · Jun 11, 2026 · 1K Views
Hugging Face CTO Julien Chaumond claims the field of agentic AI evaluation is massively under-resourced
Story Overview
Hugging Face co-founder and CTO Julien Chaumond flagged that testing and benchmarking autonomous AI agents receives far too little funding, tooling, and researcher focus, a point raised in a brief social media post that drew immediate pushback from research engineer Florian Brand as too sweeping to endorse.
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Open Question
Benchmarks Need Better Yardsticks
Replies in the thread asked whether the shortage centers on agent harness standardization or on using agents themselves to probe models, underscoring how little shared data exists to measure the actual shortfall.
Developer Impact
Progress Could Stall Without More Eyes
If evaluation infrastructure stays thin, shipping reliable multi-step agents risks staying a game of trial and error, though no figures on run costs, adoption gaps, or researcher headcount were supplied to size the problem.
Sentiment
Positive users agree the agentic evaluation field is a crucial blind spot essential for building reliable agents, while negative users call the warning too broad or criticize skipping evaluations to promote products.
Pos
50.0%
Neg
50.0%
4 comments with sentiment.
Cluster Engagement
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VIEWS153LIKES3
Florian Brand@xeophon
@julien_c too broad of a statement to agree with
Julien Chaumond@julien_c
Agentic Eval is still massively under-resourced as a field
1hViews 153Likes 3Bookmarks 0
REPLIES1
broadfield-dev@broadfield_dev
@julien_c what is that? Evaluating agent harnesses? or using agent harnesses to evaluate model weights?
I've been wanting to evaluate my DIY harness, so fully agree that we need that.
1hViews 11
Mariusz Kurman@mkurman88
@julien_c I'm working on one, but it's quite expensive to evaluate frontier models at scale. I tried to evaluate Fable at least on the same 10-case sample, but it burned $3 during the first 30 steps, so I gave up.
42mViews 17
Clark@clark__labs
@julien_c and essential to build rock solid agents
55mViews 11
tsunami_crypto@ls_brd
@julien_c feels like everyone just ships and hopes for the best
whats the biggest thing missing in eval infra rn?
1hViews 6
Miko @doctormiko@sigmoid.social@micbucci
@julien_c Please define. Do you mean evals with agents or evals for agents?
20mViews 4
broadfield-dev@broadfield_dev
@julien_c tokens per task accuracy by model used error rate
1hViews 2
Everlier@Everlier
@julien_c Especially after promptfoo acquihire
9mViews 1
Chestuits@Chestu_eth
@julien_c Yeah this feels like a huge blind spot
Everyone is building agents but no one is measuring them properly
1hViews 1
Invincible@InvincibleEdge
@julien_c too many ppl skip the eval part and skip straight to shilling
1h
Blissy@BlissyOnX
@julien_c the ROI of good evals compounds silently tho
people wont notice until its too late
1h