Do you use local LLM with Android Studio and IntelliJ IDEA? If yes, which one? 👀 I am thinking to use DeepSeek Coder V2 32B for @VocabKit Kotlin Multiplatform project 🤔 Feel free to share your experience or opinion about it 🤝 #KMP #Kotlin #aicodingassistant #LLM4Code

🚨 Deadline extended! 🚨
Submit your work to #nlbse2026 (co-located with @icseconf #icse2026 🇧🇷).

📅 NEW Paper deadline: Nov 03, 2025

Explore NLP & LLMs for Software Engineering 🤖💻

👉 https://nlbse2026.github.io


#NLP #LLM #SoftwareEngineering #LLM4Code

Home - Natural Language-Based Software Engineering

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

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"

https://conf.researchr.org/details/promise-2025/promise-2025-papers/3/A-Qualitative-Investigation-into-LLM-Generated-Multilingual-Code-Comments-and-Automat

#llm #llm4code

A Qualitative Investigation into LLM-Generated Multilingual Code Comments and Automatic Evaluation Metrics (PROMISE 2025) - PROMISE 2025

The International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE) is an annual forum for researchers and practitioners to present, discuss and exchange ideas, results, expertise and experiences in construction and/or application of predictive models, artificial intelligence, and data analytics in software engineering. PROMISE encourages researchers to publicly share their data in order to provide interdisciplinary research between the software engineering and data mining communities, and seek for verifiable and repeatable experiments that are useful in ...

Implication of different #AI models in autonomous vehicles

https://www.listentoyourmuse.com/implication-of-different-ai-models-in-autonomous-vehicles

If you are interested in the subject of the reliability and ethics of autonomous vehicles, and would like us to cover it in another issue, please let us know.

#Vehicles #AutonomousVehicles #DeepLearning #ContextualAI #LLM #llm4code #SelfDriving #machinelearning #Technology

Muse™ - Implication of different AI models in autonomous vehicles

Having looked at the different levels of autonomous vehicle automation, let's move on to the different layers that make up the software of autonomous vehicles. In the software section, we can distinguish 3 main layers: scene perception and localization, Motion planning and decision-making and Simula

Muse™

Curious about how to build and deploy real-world LLM applications? Our new book, LLM Engineer's Handbook is here to guide you through this entire process with a practical use -case.

Heres where u can find this amazing resource:
https://packt.link/fR4Bb

#llmops #LLMs #awssagemaker #llama #web3 #LLM4code #llmsecurity

Amazon.com

My impression after looking a bit into different #LLM4code benchmarks is that people seem to be too concerned with making benchmarks large and unbiased, and not sufficiently concerned with making them meaningful.

What's the best dataset of non-trivial #LLM4code benchmarks for Java?

CoderEval code is too simple for my purposes, and ClassEval only seems to have Python?

(preferably realistic code, not programming competitions)

#fuckyou #programmers !!!

I do not need you!
How does it feel being replaced by a massive data centre juicing up 350,000,000 Kilo watts of energy just to boot up!!!

Hahaha losers!!!12!

#LLMs #llm4code #AI #claudeai

🚀 Introducing ReSym (CCS'24): our new binary analysis technique, an LLM+static analysis solution that recovers source code from binaries by generating names, types, and layouts of variables and data structures from stripped binaries. Discover more in our full paper : https://tinyurl.com/resym24

(with coauthors Danning Xie, Zhuo Zhang, Nan Jiang, Xiangzhe Xu, and Xiangyu Zhang)

#LLM4code #CyberSecurity #ReverseEngineering #AI #LLM #MachineLearning #CCS #CCS2024