@GeoffreyHuntley It will continue making sense until training set stops being relevant. Agents are much more effective with TS/React because there's so much training data.
I imagine, after a while, there won't be any code, just **live** apps with runtime coding hidden from humans.
@GeoffreyHuntley funny coincidence, I'm planning to release a runtime patching dotnet lib soon. 100% written by my own workflow-based AI agent, win/linux/macos. just need some free time to put it all together as a product. thinking of targeting it for testing at first.
retweets appreciated
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@pierceboggan@itsmattchan@BrigitMurtaugh Just a small example so I don't look like a whiner.
This suggestion keeps appearing, no matter how many times I go back to the previous line and then press Enter. So there's enough time for a "proper" suggestion. And this suggestion quality is somehow the norm lately.
@pierceboggan@itsmattchan@BrigitMurtaugh Honestly, tab completion is more of a nuisance that I have to fight now. It was great a year ago. How did better models result in worse tab performance? Honestly, as a paid client since beta, I'm quite mad about this.
@GeoffreyHuntley@AmpCode@_dhamidi I think I already have an account at [email protected]. Just didn't get a chance to properly try it out. But credits would be nice, thanks!
Unfortunately I don't know @_dhamidi. I'm a lone consultant, don't really know anybody 😀
@GeoffreyHuntley@AmpCode Modes are nice because they are like hardcoded prompts with a designated name. You can reference that name in other modes/prompts, and be sure that LLM won't do anything stupid (since all available modes are listed in a system prompt)
@ErikEJ@jsuarezruiz I tried it this weekend with .NET 10 Preview 4. Had an issue where .cs files in the same directory didn't get picked up. I needed to share a few util methods between multiple .cs scripts.
What's going on with GitHub Copilot in Rider? Lately, it has become completely unusable. Suggestions are missing or plain incorrect.
@JetBrainsRider@github
@GeoffreyHuntley Even the best thinking models are bad at analyzing the existing code. Sometimes it takes 10 seconds to find an issue where LLM struggled for 10 minutes. We could give LLMs semantic trees, but we could also wait until they get better. The latter strategy usually wins.
Spec-based development is the vibe coding we were promised
1) Ask Claude Code to modify specs
2) Create spec diff using git, and ask to implement changes + tests
3) Repeat
There are some steps in between, but this is the main idea
@GeoffreyHuntley@k_cieslak Specs will play a huge role in AI development workflow.
My idea is to use TypeScript to enforce specific rules in the spec so that the project wouldn't compile if, for example, the tests are missing.