#ai-coding
The latest AI and developer news about #ai-coding, with the original source and a short summary.
The latest AI and developer news about #ai-coding, with the original source and a short summary.
Ornith-1.5 achieves open-source SOTA through self-improvement via self-generated tasks and reinforcement learning
This article presents optimization strategies to reduce token costs and improve efficiency when using Claude Code.
Zed has launched the private beta of Delta, an AI agent collaborative coding environment.
Lovable raised a $400M Series C at a $13.3B valuation.
Copilot for JetBrains v1.15 supports enterprise policy management and Ollama BYOK.
The era of discounted AI coding tokens is ending, making cost and fundamental skill management increasingly important.
Oracle has prohibited contributions of AI-generated code and content to OpenJDK.
Slash commands in the GitHub Copilot app streamline session management and task planning.
Kimi K3 has been officially integrated into GitHub Copilot and is now available for use.
This article outlines the process of deploying a web app built with Antigravity and Firebase to kt cloud AI NEXUS.
The Rust project has formalized rules for LLM usage in the rust-lang/rust contribution process.
The Qwen development team teased the launch of a 27B model and key specifications for upcoming models.
MirrorCode evaluated long-horizon autonomous coding ability and revealed Claude Opus 4.7's results.
An AI agent automatically tested COBOL-to-Java conversion results to increase code path coverage.
On 111 SWE problems, Fable 5 recorded the highest resolve rate at 64.5%.
GCC will not accept legally significant contributions generated by LLMs.
xAI has unveiled 'Build Mode,' which instantly turns users' ideas into websites, apps, games, and more.
This introduces a learning plan based on Amazon Bedrock for organizational management and control, going beyond individual-level use of Claude Code.
Grok Build has launched a Workflow feature that orchestrates hundreds of parallel agents.
Cursor launched Router, which automatically selects the optimal model for a task, cutting costs by 60%.
Cursor revealed the results of an experiment showing that an Agent Swarm structure improves the efficiency and economics of complex coding tasks.
The Bun team used 64 AI agents to rewrite 530,000 lines of code into Rust in just 11 days.
This is a dictionary summarizing key concepts and terminology related to AI coding, created by Matt Pocock.
The proliferation of AI coding tools is increasing the maintenance burden on open source projects and threatening the ecosystem.