The latest AI news, launches, models, companies and research — collected from official sources, research feeds and reporting, grouped into stories and ranked by the BharatHunt Trend Score.
Updated 2 hours ago116 stories in the last 24 hours
166 stories
Hackers hit AI coding tool OpenCode, running up charges on users’ AI accounts. It centres on Claude Code, and also names Cursor. Reported by TechCrunch. Bharat Hunt files it under AI Coding and AI Tools — the section covering code generation, developer agents, IDEs and software engineering.
Microsoft thinks its new Copilot ‘super app’ will be as influential as Office. It centres on Microsoft, and also names GitHub Copilot. Reported by The Verge. Bharat Hunt files it under AI Coding and AI Tools — the section covering code generation, developer agents, IDEs and software engineering.
Building intelligent enterprises: why developers must bridge code and business reality. Reported by YourStory. Bharat Hunt files it under AI Coding and Enterprise AI, and tracks it as India coverage — the section covering code generation, developer agents, IDEs and software engineering.
DoubtLess: Training-Free Contrastive Decoding for Efficient Reasoning. It centres on Reasoning Models, and also names Benchmarks and Inference. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
AesCode: Aesthetic Code Generation with Decoupled Cross-Modal Rewards. It centres on Benchmarks, and also names GPT and Claude. Reported by arXiv. Bharat Hunt files it under AI Coding — the section covering code generation, developer agents, IDEs and software engineering.
Coding Agents for Generalized Task and Motion Planning Problems. It centres on Claude Code, and also names GPT and Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
SWE-DIVE: Multi-Turn Coding Agent Evaluation with Dynamic User Simulation. It centres on Benchmarks, and also names GitHub. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Research — the section covering code generation, developer agents, IDEs and software engineering.
Code Comprehensor: Hierarchical Documentation and Cross-Modal Retrieval for Large Repositories. It centres on Model Context Protocol, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Agents — the section covering code generation, developer agents, IDEs and software engineering.
FrugalEvo: Towards Cost-Aware LLM-Guided Program Evolution. It centres on Benchmarks, and also names GPT. Reported by arXiv. Bharat Hunt files it under AI Coding — the section covering code generation, developer agents, IDEs and software engineering. Open the original report for the full detail.
MRVQ: One Resident Index for Dimension- and Rate-Elastic Vector Search. Reported by arXiv. Bharat Hunt files it under AI Coding — the section covering code generation, developer agents, IDEs and software engineering. Open the original report for the full detail.
AutoCompact: Learning When to Compact Context in Long-Horizon Coding Agents. It centres on Fine-tuning, and also names Inference. Reported by arXiv. Bharat Hunt files it under AI Coding and AI Models — the section covering code generation, developer agents, IDEs and software engineering.
Turbo Harness: Instance-Adaptive Harness Optimization. It centres on Inference, and also names Benchmarks. Reported by arXiv. Bharat Hunt files it under AI Coding — the section covering code generation, developer agents, IDEs and software engineering. Open the original report for the full detail.
Bharat Hunt links to original reporting and does not republish it. Headlines and links belong to their publishers; summaries and the trend ranking are ours. All AI stories
Stories in the last 24 hours, against the 24 before it. A change is shown only where the earlier window had enough coverage to compare against.
Our own 0-100 ranking, not an industry metric and not anyone else’s “trending” number. It combines how recently a story was covered (32%), how many independent publications covered it (28%), how fast that coverage is arriving right now (20%), how reliable those sources are (12%) and how many people opened the story (8%).
A story we cannot date carries no score at all rather than a made-up one, so some cards show no badge. Summaries are written by Bharat Hunt from the headline and the coverage — the original article is always the source of truth, and every link goes to the publisher.