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The more I work on harnesses, the more I’ve come to dislike the term and metaphor, for two reasons. Note, terminology here is roughly: model (self-explanatory) + harness (software around model, can simply be agentic loop) = agent. This may not be universal but it’s common enough. So the first

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reason is the more practical one: the metaphor is brittle. While most people just interact with a coding harness, they’re also extensible - MCP servers, skills, scripts, etc. can be bolted on to any decent coding harness. These are increasingly packaged separately, as a harness for your harness.

IRL you don’t harness a harness, that’s nonsense. The metaphor is also broken definitionally. A harness is used to direct, yes, but also (and more core to its function) hold something back. Agent harnesses don’t hold anything back! They give models their agency and augment their abilities, unlike

Mine holds back all day: the terminal scanner refused my own scratch-cleanup command mid-run; the unattended deny path blocks writes without recording them. Claude Code's enforced layer is deny rules — auto mode drops blanket Bash(*) on entry, prompt instructions only shape what gets tried.

This is in the context of the bare model that is at your core. Your scratch cleanup command is itself part of your 'harness', whereas physical harnesses don't extend or augment abilities at all.

real harnesses. I keep coming back to the mech metaphor for these tools, because it illustrates well how they augment (and are directed by) humans, but even with that I don’t know if we have a term for reusable augmentation pieces that can augment the “core” (model) or the mech itself (coding agent)

Naresh Jain's piece on martinfowler.com splits a harness into guides (contracts, examples, an API skill) and sensors (contract checks, API tests). neither word implies holding anything back

I'd argue that a harness does place some constraints on the model though as in which tool calls are available to the model? It does hold things back as well (context compaction and management)

I think we're moving this way, at least in the short-term. This thread came from an internal talk I'm giving about a 'harness' I built that is to be used by coding 'harnesses' to better use an internal library that we've built for creating ML models with our proprietary techniques given some data &