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@DataChaz frames the problem bluntly

2026-07-28 · 16:37 UTC ·@DataChaz ·0 min read

Brief

ReactorfieldAI's new 4-week fellowship (announced 2026-07-28) embeds forward-deployed engineers into pre-Series-A labs to integrate agent-based systems directly into R&D pipelines. Framing science as lagging behind engineering, founders James Sinka and @berkbuilds position the program as building the necessary "harnesses" so frontier models (protein design, complex searches) work in real lab workflows.

Why it matters

@DataChaz frames the problem bluntly: "SOFTWARE ENGINEERS MOVED TO AGENTS. MOST SCIENTISTS ARE STILL STUCK IN CHAT WINDOWS," arguing scientists lag behind engineers in adopting agent-based workflows.

Key details

  • @ReactorfieldAI launched a 4-week fellowship (announced 2026-07-28) that embeds forward-deployed engineers into pre-Series-A labs to "wire agents into real R&D pipelines."
  • The program was built by James Sinka (@jamessinka) and @berkbuilds to make scientists and deep‑tech startups AI-native, arguing frontier models (e.g., for protein design and complex searches) need engineering "harnesses" to be useful in labs.
Source evidence

SOFTWARE ENGINEERS MOVED TO AGENTS. MOST SCIENTISTS ARE STILL STUCK IN CHAT WINDOWS

@ReactorfieldAI just launched a 4-week fellowship to change that 🔥

Instead of just talking about AI, they embed forward-deployed engineers into pre-Series-A labs to wire agents into real R&D pipelines.

Sure, frontier models can design proteins and run complex searches, but you have to build the harnesses first!

This fellowship does exactly that.

Check it out 👀↓

Video

James Sinka - Boston & SF (@jamessinka)

AI transformed coding, science is next

@ReactorfieldAI makes scientists and deep tech startups AI-native

Built by me and @berkbuilds to accelerate science with frontier AI

Video

— https://nitter.net/jamessinka/status/2082133419924869535#m