Yegor Denisov-Blanch
@yegordb
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Stanford | Research: Software Engineering Productivity | 8th grade dropout | ex-Olympic Weightlifting National Champion (Master of Sport)
Stanford, CA
Joined February 2021
I’m at Stanford and I research software engineering productivity. We have data on the performance of >50k engineers from 100s of companies. Inspired by @deedydas, our research shows:. ~9.5% of software engineers do virtually nothing: Ghost Engineers (0.1x-ers)
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RT @METR_Evals: We tested how autonomous AI agents perform on real software tasks from our recent developer productivity RCT. We found a g….
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This phenomenon highlights that there are individuals at every company who work multiple jobs just like Soham did. I want to highlight that the above estimate uses certain assumptions that can sway the numbers 30%+ in either direction. I will be writing a short paper with a.
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We found that people working multiple jobs performed significantly worse than their peers: 0.62x the global median, on average.
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Why might our initial findings underestimate the true rate?. In our initial sample of 128.5K developers, we identified only 63 holding multiple jobs (0.05%). However, this significantly underestimates reality, as our dataset includes only 1.20% (957 out of 80,000+) of global
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How did we determine if someone was overemployed?. We matched individuals across companies using employer-provided data, including names, job titles, locations, GitHub IDs, emails, employment status (full-time vs. contractor), and additional encrypted identifiers.
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How did we calculate this? . We tracked engineers actively committing code to multiple companies' repositories across multiple months. We excluded contractors, part-timers, and people switching jobs. We then extrapolated these findings to estimate global numbers.
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🧵How many software engineers secretly work 2+ jobs?. My research group at Stanford has access to private code repos covering 100K+ engineers at ~1,000 companies: ~0.5% of the world’s developers. Our data shows that 4.1% of software engineers are working 2+ jobs.
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RT @RylanSchaeffer: New position paper! Machine Learning Conferences Should Establish a “Refutations and Critiques” Track. Joint w/ @sanmi….
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Here is a related post, where we found that almost 10% of all software engineers are "Ghost Engineers" - doing no work.
I’m at Stanford and I research software engineering productivity. We have data on the performance of >50k engineers from 100s of companies. Inspired by @deedydas, our research shows:. ~9.5% of software engineers do virtually nothing: Ghost Engineers (0.1x-ers)
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My research group at Stanford has access to private code repos from 100K+ engineers at almost 1,000 companies, ~0.5% of the world’s developers. Within this "small" sample, we routinely find engineers working 2+ jobs. I estimate that easily >5% of all engineers are working 2+.
PSA: there’s a guy named Soham Parekh (in India) who works at 3-4 startups at the same time. He’s been preying on YC companies and more. Beware. I fired this guy in his first week and told him to stop lying / scamming people. He hasn’t stopped a year later. No more excuses.
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RT @RylanSchaeffer: Third #ICML2025 paper! What effect will web-scale synthetic data have on future deep generative models?. Collapse or Th….
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RT @JonSaadFalcon: How can we close the generation-verification gap when LLMs produce correct answers but fail to select them? .🧵 Introduci….
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RT @RylanSchaeffer: 🚨New preprint 🚨. Turning Down the Heat: A Critical Analysis of Min-p Sampling in Language Models. We examine min-p samp….
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Excited to be speaking in the AI Architects track of @aiDotEngineer in June!.
Announcing our speakers for the AI Architects track -- 1 of 2 tracks as part of our exclusive Leadership Track!. ⚠️PSA: Tix nearly sold out, get em here: An incredible lineup of speakers at this track, across two days, featuring:. @claybavor, Co-Founder
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I'm part of a research group at Stanford and have data on the impact of AI on software engineering productivity. We will be releasing a paper soon. Spoiler: some teams see a *decrease* in productivity, while many others a pretty sizable increase.
@deedydas Note: there are no verifiable data from independent centers created according to a uniform research method that confirm the increase in productivity when using language models for programming. On the contrary, the CEO of large companies (such as Airbnb) does not see the changes.
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Oh, is this how you get papers accepted at top ML conferences?.
I'm going to catch hell for posting but to summarize:. 1. This paper misled its way to an #ICLR2025 Oral.2. I pointed this out.3. AC rejected the paper.4. Authors complained & somehow persuaded ICLR to overrule the AC and award a Spotlight .5. AC made clear they were overruled.
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My research showing 9.5% of engineers do no work grabbed @elonmusk’s attention. I went from 8th grade dropout to researching AI at Stanford—but I could be forced to leave America tomorrow. Here's why America's immigration system is choking US innovation (link in comments)
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I’ve never shared my immigration story—until now. I lost the H1-B lottery in 2017 and was 'kicked out' of the US. I crawled my way back in 2022 after getting into Stanford, Harvard, MIT, etc. I hope Trump allows me and other AI talent to stay this time. My journey to America:. -
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