saturatedfat
I don’t think you can get the same satisfaction out of these tools if what you want to do is not novel.
If you are exploring the space of possibilities for which there are no clear solutions, then you have to think hard. Take on wildly more ambitious projects. Try to do something you don’t think you can do. And work with them to get there.
dspy is declarative. you say what you want.
dspy says “if you can say what you want in my format, I will let you extract as much value from current LLMs as possible” with its inference strategies (RLM, COT; “modules”) and optimizers (GEPA).
gas town is … given a plan, i will wrangle agents to complete the plan. you may specify workflows (protomolecules/molecules) that will be repeatedly executed.
the control flow is good about capturing delegation. the mayor writes plans, and polecats do the work. you could represent gas town as a dspy program in a while loop, where each polecat loops until its hooked work is done. when work is finished, its sent to the merge queue and integrated.
gas town uses mostly ephemeral agents as the units for doing work .
you could in theory write gas town with dspy . the execution layer is just an abstraction . gas town operates on beads as state . you could funnel these beads thru a dspy program as well.
the parallels imo are mostly just structured orchestration .
i hope this comes off as sane. 2026 will be a fun year.
think about how this thing is interacting with your codebase. it can read one file at a time. sections of files.
in this UX, is it ergonomic to go hunting for patterns and conventions? if u have to linearly process every single thing u look at every time you do something, how are you supposed to have “peripheral vision”? if you have amnesia, how do you continue to do good work in a codebase given you’re a skilled engineer?
it is different from you. that is OK. it doesn’t mean its stupid. it means it needs different accomodations to perform as well as you do. accomodations IRL exist for a reason, different people work differently and have different strengths and weaknesses. just like humans, you get the most out of them if you meet and work with them from where they’re at.
(gist: evals as a service)
Also, do you guys do something similar to: https://github.com/frankfralick/dripgrep ?
(for the curious, the README for this repo is 100% worth taking a look at!)
Had a couple questions:
- how far does the $50/mo get you?
- what's the battery life like/going to be like?
- do yall allow people or plan to allow people to swap out (some) of the models or orchestrate them yourself, at least incrementally? say I want to fine-tune my own maurice personality
https://www.darinkishore.com/posts/mcp#building-tools-that-l...
That+fish is an amazing introduction to the shell. Totally new avenue for learning and being immersed quickly.