@mattpocockuk Mid task compacts in a goal are not a problem as long as you have a clear spec issue listed in the goal text and clear acceptance criteria
@mattpocockuk@LukeberryPi grill-with-docs is too tightly coupled
We have our docs website hosted on `docs`.
It should just find the current conventions for where things live
/setup-matt-pocock-skills is a skill smell!
Really, it can not deduce itself that I use github??!?
@mattpocockuk Do you have any proof that for new models such as Sol and Fable the dumb zone start at 150k tokens.
My main experience is that, the more context I give them, the better the results are. Things like discussion transcripts, slack threads etc.
@mattpocockuk I don't agree. I think you underestimate how "much context/effort" a good discussion or implementation with an agent often requires in big long lived codebases/companies.
@mattpocockuk I use something similar, but it is more like:
Grill -> High level issues (6 week plan)
Then for each issue, I grill it again before implementing, because things change all the time:
Grill -> Update issue -> Goal -> Review -> Merge
@mattpocockuk I wonder if there is any evidence that this dumb zone is really this bad still with new models. I have had grilling sessions taking taking many hours. I let the agent record all decisions, and research sources in a md file, so it would survive compacting. This seems to work fine.
@mattpocockuk@kentcdodds Some might say that is a premature optimization 😅 I think there is something to say for using docs/.md files over skills for many cases!
Excited about this: got a lightweight async_hooks compatibility shim working in the browser for vitest-plugin-rsc.
This should allow us run Next’s real cookies() and headers() request-context code in browser-mode RSC tests, without mocking those APIs.
@kettanaito
Excited about this: got a lightweight async_hooks compatibility shim working in the browser for vitest-plugin-rsc.
This should allow us run Next’s real cookies() and headers() request-context code in browser-mode RSC tests, without mocking those APIs.
@kettanaito
@thdxr I agree, but how do you get that while:
- being able to still colocate code with test
- keep the ability to statically decide which tests to needs to run
- be fast enough to get feedback back in seconds
- have code coverage of all paths without blowing up your e2e suite
I've been driving GPT5.5 on low reasoning for the last week+ and it's very good, very efficient. Haven't been tempted to reach for Opus at all. And it's more succinct than Kimi too. Huge leap forward for @OpenAI 👌