News / #code Tag Code 221 articles archived under #code · RSS Sign in to follow Hugging Face Daily Papers research 27d ago Fewer Clarifications, Better Code: Benchmarking Cross-Session Personalized Ambiguity Adaptation in Coding Assistants Abstract AI-assisted coding increasingly translates informal user intent into executable software, yet coding requests often contain ambiguities that recur in user-specific ways across tasks and sessions. Existing disambiguation methods typically address each ambiguous request… 15 arXiv — Machine Learning research 27d ago Simulation Code Generation for Fluid Systems using Large Language Models: Benchmarking Models and Prompting Strategies arXiv:2607.29389v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated a strong ability to generate syntactically correct code from natural-language specifications. In this study, we explore how LLMs can be harnessed to automatically translate a neutral… 26 Hacker News — AI on Front Page community 28d ago Cursor removed cost information from the usage page and CSV export Article URL: https://forum.cursor.com/t/usage-page-to-token-amount-what/167153 Comments URL: https://news.ycombinator.com/item?id=49135257 Points: 200 # Comments: 84 9 arXiv — Machine Learning research 1mo ago RLPF: Reinforcement Learning from Performance Feedback for Code Generation arXiv:2607.27271v1 Announce Type: new Abstract: Code models are increasingly trained with execution feedback, but most training signals still stop at correctness. This leaves an important gap for systems code: two programs can pass the same tests while differing greatly in… 8 GitHub Blog — AI & ML official-blog 1mo ago Stacked sessions and pull requests in the GitHub Copilot app Learn how I modernized an old codebase of mine using stacked sessions and pull requests in the GitHub Copilot app. The post Stacked sessions and pull requests in the GitHub Copilot app appeared first on The GitHub Blog . 13 r/MachineLearning community 1mo ago I taught an LSTM to move a mouse like a human [P] Precursor was recently released. It's a bot detector that uses cursor tracking. I thought it would be a fun challenge to train a deep neural network that could learn human mouse movements. It's an 2-layer LSTM model with a Mixture Density Network at the end. The results are… 19 arXiv — Machine Learning research 1mo ago From Interface to Inference: Eliciting Any-Order Inference from Any-Order Models arXiv:2607.26504v1 Announce Type: new Abstract: Many discrete reasoning tasks, such as code generation, are inherently non-causal: programmers move between high-level structure and local details, a process we call any-order inference. For autoregressive language models, which… 12 arXiv — NLP / Computation & Language research 1mo ago (Im)Paired Programming: Coding Agents Improve Productivity but Harm Understanding arXiv:2607.26375v1 Announce Type: new Abstract: Coding agents (e.g., Cursor) improve developer productivity by optimizing task completion, but shifting users from writing code to prompting and reviewing may harm their understanding, impeding oversight, learning, and… 35 NVIDIA Developer Blog official-blog 1mo ago How to Self-Host a Validated AI Coding Assistant with NVIDIA NeMo Guardrails Deploying an AI coding assistant in a regulated, sovereign, or source-sensitive environment, often comes with challenges. Three common issues are: the source... 33 Hacker News — AI on Front Page community 1mo ago Document-borne AI worms can self-propagate through Copilot for Word Article URL: https://enklypesalt.com/posts/context-collapse-part3-ai-worming-through-word/ Comments URL: https://news.ycombinator.com/item?id=49096188 Points: 220 # Comments: 177 20 arXiv — NLP / Computation & Language research 1mo ago Beyond "What to Retrieve": Uncertainty in Retrieval-Augmented Code Generation arXiv:2607.24884v1 Announce Type: cross Abstract: Repository-level code generation relies on heterogeneous evidence whose relevance, compatibility, and completeness are inherently uncertain. Similar-code examples, repository context, and project-specific APIs may provide… 14 TechCrunch — AI news-outlet 1mo ago Cursor makes its biggest India push yet ahead of SpaceX acquisition with localized pricing Cursor says India is now its third-largest market globally and plans to expand local hiring and enterprise sales. 23 GitHub Blog — AI & ML official-blog 1mo ago The harness is all you need (mostly) A practical GitHub Copilot workflow for prototyping, planning, implementing, and reviewing software without chasing every new AI tool. The post The harness is all you need (mostly) appeared first on The GitHub Blog . 14 GitHub Blog — AI & ML official-blog 1mo ago GitHub Copilot app for Beginners: Getting started New to the GitHub Copilot app? Learn how to start projects, work with AI agents, explore canvases, and streamline your development workflow. The post GitHub Copilot app for Beginners: Getting started appeared first on The GitHub Blog . 7 r/LocalLLaMA community 1mo ago Is it worth getting 128GB MacBook Pro? Will it ever be comparable to today’s frontier models for coding? I am a long time iOS app developer. In the last year I have been using Cursor+Claude/others to assist with app development. I am concerned that the current low pricing will disappear eventually. I am pricing out a new laptop with the intention of using local models instead. New… 35 r/LocalLLaMA community 1mo ago CachyLLama: llama.cpp fork with persistent SSD-backed KV caching for local agent workflows If you run local agentic coding harnesses (Aider, Claude Code, etc.), prompt evaluation usually eats up most of your execution time. Every turn re-evaluates thousands of identical prefix tokens_system prompts, tool schemas, and conversation history. CachyLLama is a llama.cpp… 19 r/LocalLLaMA community 1mo ago Setup for always on assistant I have a dual 3090 rig that I use as coding assistant and while it works, it draws a lot of electricity. Now I want to add another rig that I can keep on all the time, or maybe a vps if that is suitable. This rig should run an assistant model that should be fairly intelligent… 10 arXiv — Machine Learning research 1mo ago Scaling Closed-Loop Feature Channel Configuration with LLMs arXiv:2607.20516v1 Announce Type: new Abstract: Promising initial results in closed-loop large-language-model-based channel-configuration search demonstrated that neural-network widths can be optimized directly through executable code generation and accuracy feedback. However,… 35 arXiv — Machine Learning research 1mo ago Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation arXiv:2607.20908v1 Announce Type: new Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has emerged as a powerful technique to enhance the reasoning capacity of LLMs for optimized code generation. However, existing RLVR approaches primarily rely on outcome-based… 7 arXiv — NLP / Computation & Language research 1mo ago Learn2Zinc: Fine-tuning Small Language Models for Text-to-Model Translation in MiniZinc arXiv:2607.20456v1 Announce Type: new Abstract: Large language models excel at code generation for mainstream programming languages but struggle with rare, domain-specific languages such as MiniZinc, a constraint modeling language for combinatorial problems. We investigate… 33 arXiv — NLP / Computation & Language research 1mo ago Demonstrating GenDB: Instance-Optimized and Customized Query Processing Code Generation via LLM Agents arXiv:2607.20630v1 Announce Type: cross Abstract: Traditional query processing engines require continuous development and extensions to support new techniques and user requirements, and in some cases, entirely new systems must be built from scratch. However, these engines are… 34 arXiv — NLP / Computation & Language research 1mo ago WaveformQA: Benchmarking LLM Temporal Reasoning on Digital Waveforms arXiv:2607.20638v1 Announce Type: cross Abstract: Large Language Models (LLMs) have demonstrated strong capabilities in code generation and reasoning, yet their ability to perform temporal reasoning over digital waveform data remains largely unexplored. Although reasoning over… 18 GitHub Blog — AI & ML official-blog 1mo ago Copilot vs. raw API access: What are you actually paying for? Copilot now bills usage at listed API rates. Compare direct model access with the coding workflow, policy, and harness work around it. The post Copilot vs. raw API access: What are you actually paying for? appeared first on The GitHub Blog . 35 Hugging Face Daily Papers research 1mo ago H^2SD: Hybrid Hindsight Self-Distillation Abstract Reinforcement learning with verifiable rewards (RLVR) has substantially improved the reasoning capabilities of large language models on tasks such as mathematical reasoning and code generation. However, most RLVR methods assign a scalar outcome reward to an entire… 7 arXiv — Machine Learning research 1mo ago Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals arXiv:2607.18860v1 Announce Type: new Abstract: Thermal runaway in lithium-ion batteries poses a major safety risk to electric vehicles and energy storage systems. Current early-warning methods depend mainly on temperature and may therefore miss mechanical precursors that emerge… 29 arXiv — NLP / Computation & Language research 1mo ago H$^2$SD: Hybrid Hindsight Self-Distillation arXiv:2607.18955v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) has substantially improved the reasoning capabilities of large language models on tasks such as mathematical reasoning and code generation. However, most RLVR methods assign a… 24 arXiv — NLP / Computation & Language research 1mo ago The Librarian Who Refused to Code: Model-Dependent Identity Enactment in LLM Code Generation arXiv:2607.17420v1 Announce Type: new Abstract: Biographical personas are widely used in system prompts, but their effects on code generation are rarely evaluated under controlled, pre-registered conditions. We tested four prompt conditions (no persona, two engineer personas,… 13 arXiv — NLP / Computation & Language research 1mo ago Dependency-Guided Code Generation: Structured Matrix Decomposition and Consistency-Guided Refinement arXiv:2607.16692v1 Announce Type: cross Abstract: The increasing complexity of modern software systems has made automated code generation a fundamental task in software engineering. However, existing approaches often fail to adequately capture the intricate, multi-level… 36 Hacker News — AI on Front Page community 1mo ago Agent swarms and the new model economics Article URL: https://cursor.com/blog/agent-swarm-model-economics Comments URL: https://news.ycombinator.com/item?id=48982535 Points: 205 # Comments: 91 27 arXiv — Machine Learning research 1mo ago Towards Reliable AI-Assisted Analog Design: Template-Constrained LLM Agents for SAR ADC Generation arXiv:2607.14165v1 Announce Type: cross Abstract: While Large Language Models (LLMs) have demonstrated significant capability in software code generation, their application to analog Electronic Design Automation (EDA) is bottlenecked. Owing to limited circuit topology… 33 arXiv — Machine Learning research 1mo ago Quantize with Confidence? An Empirical Study of Quantization for Code Generation arXiv:2607.14181v1 Announce Type: cross Abstract: The growing adoption of local inference frameworks such as Ollama has made it increasingly common for developers to run large code models on laptops and other resource-constrained hardware. In these settings, post-training… 14 arXiv — Machine Learning research 1mo ago Quantum Circuit Vision: Cost-Aware Evaluation of Visual AI Agents for Quantum Code Generation arXiv:2607.10057v1 Announce Type: cross Abstract: Can AI agents visually comprehend quantum circuit diagrams and generate verified executable code--and at what cost? We present Quantum Circuit Vision, a cost-aware evaluation framework for multimodal AI agents on quantum circuit… 11 arXiv — NLP / Computation & Language research 1mo ago Declarative by Design, Assistable Only by Convention: Benchmarking Multi-Agent Frameworks for AI-Assistability arXiv:2602.11198v2 Announce Type: replace Abstract: Multi-agent frameworks (MAFs) promise to simplify LLM-driven software development, yet no principled metric captures how well AI coding assistants can generate correct, framework-specific code. We introduce… 8 MIT News — AI research 1mo ago Can AI build a jet engine? JARVIS Challenge tests role of AI copilots in tough-tech engineering MIT students designed, built, and tested a jet engine with AI copilots, assessing AI’s usefulness in developing high-performance aerospace systems. 38 Hacker News — AI on Front Page community 1mo ago Cursor 0day: When Full Disclosure Becomes the Only Protection Left Article URL: https://mindgard.ai/blog/cursor-0day-when-full-disclosure-becomes-the-only-protection-left Comments URL: https://news.ycombinator.com/item?id=48910676 Points: 207 # Comments: 86 22 Vercel — AI dev-tools 1mo ago Vercel Plugin now available in VS Code and GitHub Copilot CLI The Vercel Plugin is now available in VS Code and the GitHub Copilot CLI. GitHub Copilot now has Vercel platform knowledge on demand, with skills for Next.js, AI SDK, Vercel Functions, and more. The Vercel plugin also helps Copilot stay up to date with the latest Vercel APIs and… 28 r/LocalLLaMA community 1mo ago I benched quad 5060Tis for code generation with Qwen3.6-27B so you don't have to (it's really good) WEIRD DISCLAIMER: none of this was written by an LLM until you get to the Github repo/site, which was obviously assembled by your friend and mine, Ser Claudric. so if this reads like an ADHD-ass brain wrote it, that's because -- wait for it -- it did. very strange doing a… 36 GitHub Blog — AI & ML official-blog 1mo ago Better tools made Copilot code review worse. Here’s how we actually improved it. How migrating Copilot code review to shared Unix-style code exploration tools reduced review cost by reshaping agent workflows around pull request evidence. The post Better tools made Copilot code review worse. Here’s how we actually improved it. appeared first on The… 31 arXiv — Machine Learning research 1mo ago Selective Left-Shift: Turning Test-Time Compute and Difficulty-based Curation into Training Data for Low-Resource Code Generation arXiv:2607.07748v1 Announce Type: new Abstract: Large Language Models achieve strong code generation for high resource languages like Python and Java but suffer sharp performance drops on Low-Resource Programming Languages~(LRPLs) such as Julia. Improving Small Language… 16 arXiv — NLP / Computation & Language research 1mo ago An Online Reference-Free Evaluation Framework for Flowchart Image-to-Code Generation arXiv:2602.13376v2 Announce Type: replace-cross Abstract: Vision-Language Models (VLMs) are increasingly used in document processing pipelines to convert flowchart images into structured code (e.g., Mermaid). In production, these systems process arbitrary inputs for which no… 21 TechCrunch — AI news-outlet 1mo ago OpenAI says GPT 5.6 is the ‘preferred model’ for Microsoft Copilot 365 amid breakup chatter OpenAI's new family of models will continue to power Microsoft's suite of workplace and productivity apps. 28 ThursdAI news-outlet 1mo ago AI WorldCup (or superbowl?) GPT-5.6 lands mid-show, Zuck returns to X for Muse Spark 1.1, GPT-Live talks while it listens & Grok 4.5 trained with Cursor, Fable extended - ThursdAI - Jul 9, 2026 From Weights & Biases & CoreWeave: OpenAI launched GPT-5.6 in the middle of our live show, Mark Zuckerberg came back to Twitter to announce a Meta frontier model, and we hit the breaking news btn 3x 13 Latent.Space news-outlet 1mo ago [AINews] SpaceXAI launches Grok 4.5, first Opus-class model post Cursor acquisition SpaceXAI continues to move faster than any other frontier lab on earth. 20 arXiv — NLP / Computation & Language research 1mo ago Large Language Models (LLMs) and Generative AI in Cybersecurity and Privacy: A Survey of Dual-Use Risks, AI-Generated Malware, Explainability, and Defensive Strategies arXiv:2607.06963v1 Announce Type: cross Abstract: Large Language Models (LLMs) and generative AI (GenAI) systems, such as ChatGPT, Claude, Gemini, LLaMA, Copilot, Stable Diffusion by OpenAI, Anthropic, Google, Meta, Microsoft, Stability AI, respectively, are revolutionizing… 5 arXiv — NLP / Computation & Language research 1mo ago Learning from Execution: Self-Evolving Memory for Private-Library Code Generation arXiv:2604.24222v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have achieved strong performance on general code generation, but their effectiveness drops sharply in enterprise settings where software development relies on internal private libraries absent… 19 OpenAI official-blog 1mo ago GPT-5.6 is now the preferred model in Microsoft 365 Copilot Learn how GPT-5.6 powers Microsoft 365 Copilot with stronger AI capabilities across Word, Excel, PowerPoint, Chat, and Cowork for faster, higher-quality work. 23 GitHub Blog — AI & ML official-blog 1mo ago How GitHub Copilot enables zero DNS configuration for GitHub Pages Go from an empty repository to a live custom domain with HTTPS in about 14 minutes, without manually editing a single DNS record. The post How GitHub Copilot enables zero DNS configuration for GitHub Pages appeared first on The GitHub Blog . 34 arXiv — NLP / Computation & Language research 1mo ago SecureCode: A Production-Grade Multi-Turn Dataset for Training Security-Aware Code Generation Models arXiv:2512.18542v3 Announce Type: replace-cross Abstract: AI coding assistants produce vulnerable code in 45\% of security-relevant scenarios~\cite{veracode2025}, yet no public training dataset teaches both traditional web security and AI/ML-specific defenses in a format… 33 Hugging Face Daily Papers research 1mo ago dOPSD: On-Policy Self-Distillation for Diffusion Language Models Abstract Diffusion large language models face challenges in reasoning enhancement through post-training, but a novel on-policy self-distillation method using internal denoising trajectories improves mathematical reasoning and code generation performance. Generated by… 19 arXiv — NLP / Computation & Language research 1mo ago What You See Is What You Get: Observation-Aligned Supervision for Chart-to-Code Generation arXiv:2607.04726v1 Announce Type: new Abstract: Chart-to-code generation is commonly trained with supervised fine-tuning on reference plotting scripts, implicitly treating the gold code as a fully observable target. We argue that this assumption is often invalid: many chart… 4 Page 2 of 5 · 221 articles ← Newer Older →
