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@nvandessel

nic van dessel

nvandessel
San Francisco, CA

I build open-source developer tools, with a goal to improve how AI coding agents work. I'm inspired by science, and do my best to follow the scientific method. I value honesty, and do not like to make bold claims about what my systems do, without validation and proof.

What I'm building:

  • floop — Spreading activation memory for AI coding agents. Captures corrections as durable behaviors and retrieves them by context. Grounded in cognitive science (ACT-R, Hebbian learning).
  • frond — Agent-first CLI for managing stacked PRs with DAG dependencies. Single binary, zero config, JSON output for agent integration.
  • floop-bench — Open benchmark measuring whether agents actually learn from corrections, using SWE-bench Verified. All results published honestly.
@nvandessel

Simply looking to offset my AI subscription cost, which powers the development of these tools.

Featured work

  1. nvandessel/floop

    Spreading activation memory for AI coding agents - corrections in, context-aware behaviors out.

    Go 21
  2. nvandessel/frond

    Agent-first CLI for managing stacked PRs with DAG dependencies on GitHub.

    Go 4
  3. nvandessel/floop-bench

    Open benchmark evaluating floop's impact on coding agent performance using SWE-bench Verified

    Python 1

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