Developer Tools B

Showing 1–30 of 447
  • ITmedia AI+ · JA Developer Tools extract
    「エンジニアの代替ではなく、できることを増やす」 Devin開発元が見据えるIT外注大国・日本の“伸びしろ”
    Devin maker Cognition AI targets Japan, its No. 2 user base
    Cognition AI, maker of the autonomous AI engineer Devin, says Japan is its second-largest user base after the US. In a market where about 70% of IT talent sits on the SIer (system-integrator) side, Japan head Takumi Masai says the aim is not to replace engineers but to expand what they can do.
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  • Simon Willison's Weblog · EN New Model Releases extract
    July 2026 newsletter
    Simon Willison publishes his latest monthly newsletter
    Anthropic Claude DeepSeek GPT Model Context Protocol (MCP)
    Developer Simon Willison released the latest edition of his sponsors-only monthly newsletter. It rounds up recent developments across AI models and tooling—spanning GPT, Claude, DeepSeek, Anthropic, and MCP—offering an individual's closely watched view of the fast-moving AI landscape.
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  • Simon Willison's Weblog · EN Developer Tools extract
    Quoting Greg Brockman
    Simon Willison quotes Greg Brockman on ChatGPT hooked into Slack
    GPT OpenAI
    Simon Willison highlighted a quote from OpenAI's Greg Brockman noting that many people connect ChatGPT to Slack, yet coworkers dislike being contacted by a colleague's ChatGPT. The remark captures the friction that arises as AI agents start operating inside workplace tools.
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  • Simon Willison's Weblog · EN New Model Releases extract
    datasette-apps 0.2a0
    Simon Willison releases datasette-apps 0.2a0
    Simon Willison released datasette-apps 0.2a0, an update to the Datasette extension. The release includes changes that improve building and editing Datasette Apps directly within Datasette, continuing steady development of the open-source data-exploration ecosystem.
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  • Hacker News (Front Page) · EN Developer Tools extract
    Cursor removed cost information from the usage page and CSV export
    Cursor removes cost info from usage page and CSV export, users push back
    AI code editor Cursor removed cost information from its usage page and CSV export, drawing attention on Hacker News. Users raised concerns about reduced visibility into their spending and usage, criticizing the move as a step back for transparency.
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  • Data Center Dynamics · EN Infrastructure & Hardware extract
    Sponsored: Tackling complexity in AI data centers: leveraging fully integrated solutions
    Tackling AI data-center complexity with integrated solutions (sponsored)
    Retrieval-Augmented Generation (RAG)
    A sponsored piece argues that rising densities and a growing variety of equipment and services are driving complexity in AI data centers. It contends the market needs fully integrated solutions to manage this complexity rather than piecemeal components.
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  • IEEE Spectrum (AI section) · EN Developer Tools extract
    Fridays With Bob
    IEEE Spectrum column: 'Fridays With Bob' on finding a mentor
    Software Engineering
    An IEEE Spectrum personal column in which the writer recalls being advised, 25 years ago, to find a 'rabbi'—a mentor—when starting out. The piece reflects on that mentorship and the lessons it offered over a long journalism career.
    Read original (IEEE Spectrum (AI section)) ↗
  • Hacker News (Front Page) · EN Developer Tools extract
    BMW Spider-Man in-car advertising
    BMW's in-car Spider-Man ads spark backlash over vehicle advertising
    A Hacker News thread drew attention to BMW displaying Spider-Man advertising on in-car screens. Users criticized in-vehicle ads as harming the driving experience, fueling debate over the growing role of advertising as cars become increasingly software-defined.
    Read original (Hacker News (Front Page)) ↗
  • NVIDIA Developer Blog · EN Infrastructure & Hardware extract
    Co-Designing AI Model Attention for Fast, Interactive Long-Context Inference
    NVIDIA details co-designed attention for fast long-context inference
    Generative AI Inference NVIDIA
    NVIDIA describes co-designing model attention with hardware to speed up interactive long-context inference. As agentic and long-context workloads grow, attention takes a larger share of inference time, and the approach targets that bottleneck for faster serving.
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  • Simon Willison's Weblog · EN Developer Tools extract
    Oxide and Friends: The Open Weight Revolution with Simon Willison
    'Oxide and Friends' discusses the open-weight revolution with Simon Willison
    Anthropic Claude DeepSeek Microsoft OpenAI
    On the Oxide and Friends podcast, Bryan Cantrill and Adam Leventhal hosted Simon Willison for a conversation on 'the open weight revolution.' Referencing DeepSeek, Anthropic, OpenAI, and Microsoft, they discussed how the rise of open-weight models is reshaping the AI industry.
    Read original (Simon Willison's Weblog) ↗
  • arXiv cs.CL (Computation and Language) · EN Infrastructure & Hardware
    TokTier: Exact Stateful Tokenization for Agentic LLM Serving
    AI Agents GPT
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  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction
    AI Agents Llama Meta
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  • arXiv cs.LG (Machine Learning) · EN Multimodal
    Differentially Private Nonparametric Modal Learning with Applications to Regression and Clustering
    Retrieval-Augmented Generation (RAG)
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  • arXiv cs.LG (Machine Learning) · EN Infrastructure & Hardware
    Sign compression for Muon: SignMuon, MuonSign, and the Limits of Error Feedback
    GPT
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  • arXiv cs.LG (Machine Learning) · EN Developer Tools
    Freeze, Then Select: Structured Field Adapters and Stability-Validated Weak Selection for PDE Discovery from Sparse Observations
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  • arXiv cs.LG (Machine Learning) · EN Inference & Efficiency
    GQ-FSL: Green Quantized Federated Split Learning
    Neural Network Quantization
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  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    Development of FDD-ON: an Ontology for VAV HVAC System Fault Detection and Diagnostics
    Retrieval-Augmented Generation (RAG)
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    AgentHPOBench: A Benchmark For Evaluating LLM Agents as Sequential Hyperparameter Optimizers
    AI Agents Machine Learning Software Engineering
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  • arXiv cs.AI (Artificial Intelligence) · EN Infrastructure & Hardware
    CENDRe: Concept Extraction with Natural Domain Representations
    Neural Network Reinforcement Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    When Does On-Policy Interaction Help? Representational Tradeoffs in Value-Based Imitation Learning
    Neural Network Reinforcement Learning Robotics
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  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    A Human-Centered Validation of the Explainability-Performance Coefficient
    Deep Learning Neural Network
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  • arXiv cs.CL (Computation and Language) · EN Multimodal
    WCM: A World Critic Model for Vision-Language-Action Reinforcement Learning
    Computer Vision Machine Learning Neural Network Reinforcement Learning
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  • arXiv cs.LG (Machine Learning) · EN Infrastructure & Hardware
    TOOD: Task-Aware Out-of-Distribution Score Calibration for Continual Learners
    Reinforcement Learning
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  • arXiv cs.CL (Computation and Language) · EN Inference & Efficiency
    ResKV: Reconstructing Omitted Attention Contributions for Fixed-Budget KV Cache Compression
    Inference
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  • arXiv cs.CL (Computation and Language) · EN Multimodal
    Sycophancy Undermines Epistemic Vigilance in Cooperative Vision-Language Tasks
    Computer Vision Reinforcement Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN Developer Tools
    MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models
    Meta Neural Network
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  • arXiv cs.LG (Machine Learning) · EN Developer Tools
    Pyramidal Width Can Increase Under Vertex Insertion
    Neural Network
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    ARB: A Matched Authorship-Rewriting Benchmark Dataset for AI-Text Detector Evaluation
    GPT Llama Mistral
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  • arXiv cs.LG (Machine Learning) · EN New Model Releases
    A Neurosymbolic Approach for Explainable Early Diagnosis of Alzheimer's Disease
    Reinforcement Learning
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  • arXiv cs.AI (Artificial Intelligence) · EN New Model Releases
    TerraNova: A Foundation Model for the Anthropocene
    Embeddings Neural Network Retrieval-Augmented Generation (RAG) Transformer
    Read original (arXiv cs.AI (Artificial Intelligence)) ↗