#llm4code β Public Fediverse posts
Live and recent posts from across the Fediverse tagged #llm4code, aggregated by home.social.
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Do you use local LLM with Android Studio and IntelliJ IDEA? If yes, which one? π I am thinking to use DeepSeek Coder V2 32B for @VocabKit Kotlin Multiplatform project π€ Feel free to share your experience or opinion about it π€ #KMP #Kotlin #aicodingassistant #LLM4Code
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Do you use local LLM with Android Studio and IntelliJ IDEA? If yes, which one? π I am thinking to use DeepSeek Coder V2 32B for @VocabKit Kotlin Multiplatform project π€ Feel free to share your experience or opinion about it π€ #KMP #Kotlin #aicodingassistant #LLM4Code
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π¨ Deadline extended! π¨
Submit your work to #nlbse2026 (co-located with @icseconf #icse2026 π§π·).π NEW Paper deadline: Nov 03, 2025
Explore NLP & LLMs for Software Engineering π€π»
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π¨ Deadline extended! π¨
Submit your work to #nlbse2026 (co-located with @icseconf #icse2026 π§π·).π NEW Paper deadline: Nov 03, 2025
Explore NLP & LLMs for Software Engineering π€π»
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π¨ Deadline extended! π¨
Submit your work to #nlbse2026 (co-located with @icseconf #icse2026 π§π·).π NEW Paper deadline: Nov 03, 2025
Explore NLP & LLMs for Software Engineering π€π»
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π¨ Deadline extended! π¨
Submit your work to #nlbse2026 (co-located with @icseconf #icse2026 π§π·).π NEW Paper deadline: Nov 03, 2025
Explore NLP & LLMs for Software Engineering π€π»
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π¨ Deadline extended! π¨
Submit your work to #nlbse2026 (co-located with @icseconf #icse2026 π§π·).π NEW Paper deadline: Nov 03, 2025
Explore NLP & LLMs for Software Engineering π€π»
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When i started studying computer science at the beginning of the 1990ies, my answer to friends asking me about it was: Computer Scientists are a kind of species aiming at getting rid of themselves by working on automation to take over their jobs.
Looks like we are getting closer to that point.
#ai #vibecoding #programming #llm4code #coding #developer #softwaredevelopment
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Also at #FSE2025: Our paper assessing LLM's capabilities to handle comments in languages other than English (we look at Chinese, Dutch, English, Greek, and Polish).
Today's metrics for assessing success "fail to reliably differentiate meaningful completions from random noise"