SpectraLoRA: GNN -> Raman
Arcadia Science released SpectraLoRA, a method that post-trains the 22.5-million-parameter DetaNet equivariant graph neural network using SO(3)-equivariant LoRA to predict Hessians, vibrational freque…
Arcadia Science released SpectraLoRA, a method that post-trains the 22.5-million-parameter DetaNet equivariant graph neural network using SO(3)-equivariant LoRA to predict Hessians, vibrational freque…
A new product, "Claude Code Agents," offers five prebuilt AI specialists for a one-time payment, targeting solo founders who cannot afford traditional hires or recurring SaaS subscriptions. The agents…
Microsoft unveiled new developer tools at its Build conference, including the Surface RTX Spark Dev Box, Coreutils for Windows, and an air-gapped GitHub offering. The company also introduced Execution…
A developer built an AI interview coach that runs entirely in the browser with no backend, accounts, or subscriptions, requiring only a free API key. The tool conducts full mock interviews across beha…
A developer known as @nyaomaru built changelog-bot, an open-source CLI and GitHub Action that automatically generates and updates CHANGELOG.md files from Git history, pull requests, and release notes.…
A new open-source AI agent platform called OpenSkynet has been released, enabling users to deploy autonomous agents for web browsing, coding, and task management through a single command-line installa…
GitHub switched Copilot from request-based subscriptions to a token-usage billing model on June 1, 2026, with subscriptions now granting monthly AI Credits at a rate of 1 credit per $0.01 of usage. De…
A developer built a React UI component library for an experimental agent SDK and needed to reuse those styled components in an Obsidian plugin without rewriting them. The challenge was that the plugin…
Developer Sahil Mane completed AutoFlow, a stock market automation platform built with React, Node.js, MongoDB, and n8n that had been unfinished for months. The platform includes paper trading, portfo…
GitHub has implemented usage-based billing for all Copilot plans, replacing previous flat-rate pricing. Users who exceed their included AI credits can enable additional spending by updating their budg…
Microsoft announced seven new MAI models at its Build conference, including the flagship MAI-Thinking-1 reasoning model built with clean data lineage and no third-party distillation. The company relea…
A developer built a tool called ClaudeActivity that parses Claude Code session logs and generates visual HTML reports. The tool reveals repository traversal patterns, edited files, session heatmaps, c…
A developer built MangoGuard, an edge AI system that detects mango diseases directly on an Arduino Nano microcontroller without requiring cloud connectivity or internet access. The quantized MobileNet…
TradingAgents, an open-source multi-agent LLM trading framework with 82,356 GitHub stars and 15,978 forks, includes a `SqliteSaver` checkpointer that writes a separate SQLite database per ticker to sa…
GitHub moved Copilot from Premium Request Units to AI Credits this week, and developers reported on Reddit that a single Claude Sonnet prompt consumed half a month of credits and a $100 Max plan could…
A developer who founded SaaS products Seafile and SeaTable launched SeaTicket, an AI agent that consolidates support from GitHub, email, and forums into a single platform. The tool automatically pulls…
GitHub has expanded its Copilot cloud agent to support scheduling and event-based automation, allowing the agent to wake up autonomously, inspect repositories, make changes, and open pull requests wit…
A coding agent on a development team opened a pull request calling a function that had been deleted 19 days prior, because its semantic index was rebuilt from a working copy 21 days behind main. The a…
A developer replicated Chad Fowler's study on LLM default coding languages using local models, finding that most models default to Python when task context is ambiguous. The glm-4.7-flash model produc…
CodeRabbit VP of AI David Loker argues that building an internal AI code review tool costs far more than engineering teams anticipate, with annualized expenses ranging from $650,000 to $2 million for …