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30 articles about code search in AI news

BitGo's New MCP Server: Query Crypto Docs & API Directly from Claude Code

BitGo's new MCP server lets Claude Code search and interact with institutional crypto documentation and API references using natural language prompts.

95% relevant

Codex 'Chronicle' Research Preview Adds Memory for Daily Developer Context

A research preview of 'Chronicle' for Codex has been released. It enables the AI coding assistant to accumulate memories from a developer's daily workflow to improve context.

93% relevant

Clerk: Auto-Summarize Every Claude Code Session into Searchable Markdown

Install Clerk to automatically generate Markdown summaries of every Claude Code session, making your debugging, research, and architecture decisions searchable across projects.

99% relevant

Grainulator: The MCP-Powered Research Plugin That Forces Claude Code to Prove Its Claims

Grainulator transforms Claude Code into a research engine with typed claims, conflict detection, and confidence scoring—forcing AI to prove its work.

100% relevant

Replace Claude Code's Context-Stuffing with git-semantic for Team-Wide Semantic Search

A new tool, git-semantic, lets teams build and share a semantic search index of their codebase via Git, eliminating redundant API calls and enabling faster, more accurate Claude Code queries.

96% relevant

Stop Using Elaborate Personas: Research Shows They Degrade Claude Code Output

Scientific research reveals common Claude Code prompting practices—like elaborate personas and multi-agent teams—are measurably wrong and hurt performance.

95% relevant

Substack MCP Plus: Research Any Niche Before You Write a Line of Code

Install the Substack MCP server to turn Claude Code into a research assistant that analyzes publications, discovers writers, and inspects posts to validate project ideas.

70% relevant

Add Semantic Search to Claude Code with pmem: A Local RAG That Cuts Token Costs 75%

Install pmem, a local RAG MCP server, to give Claude Code instant semantic search over your entire project's history, slashing token usage for file retrieval.

95% relevant

How to Use Claude Code's 'Grad Student' Research Mode for Complex Problem-Solving

Claude Code's advanced reasoning can now tackle complex research tasks like a grad student. Here's how to prompt it for 'vibe physics' and deep technical analysis.

62% relevant

Claude Code's New Research Mode: How to Apply Scientific Coding Breakthroughs to Your Projects

Claude Code's Research Mode, powered by Opus 4.6, can accelerate complex scientific coding. Here's how to configure it for your own data-intensive workflows.

95% relevant

China's DeepSeek-R1: Open-Source AI Agent Runs Locally with Web Search, Code Generation, and Built-In Computer

Chinese AI company DeepSeek has released DeepSeek-R1, a fully open-source AI agent that runs locally on personal computers with web search capabilities, code generation, and built-in computer functionality. The model represents a significant move toward accessible, self-contained AI systems outside the dominant U.S. ecosystem.

99% relevant

Turn Claude Code Into an Autonomous Research Agent with This MIT-Licensed Skill

A new, generalized 'ResearcherSkill' for Claude Code automates systematic code experiments, letting you optimize any measurable function, not just ML models.

90% relevant

How Academics Are Using CLAUDE.md to Automate Research Code

A new presentation reveals how researchers use Claude Code's CLAUDE.md to automate literature reviews, data analysis, and paper writing workflows.

95% relevant

How to Use Claude Code for Deep Research Projects Like Genealogy

A developer used Claude Code with a specialized agent to automate complex genealogy research, creating a structured knowledge vault and a custom web app.

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SAPO: A One-Line Code Fix for Training Stable AI Search Agents

Researchers propose SAPO, a simple modification to stabilize reinforcement learning for search agents, preventing catastrophic training collapse. It delivers +10.6% performance gains with minimal code changes.

77% relevant

Martian Researchers Unveil Code Review Bench: A Neutral Benchmark for AI Coding Assistants

Researchers from DeepMind, Anthropic, and Meta have launched Code Review Bench, a new benchmark designed to objectively evaluate AI code review capabilities without commercial bias. This collaborative effort aims to establish standardized measurement for how well AI models can analyze, critique, and improve code.

85% relevant

How Claude Code's Tool Search Saves 90% of Your Context Window

Tool search automatically defers MCP tool definitions, replacing them with a single search tool that loads tools on-demand, preserving your context window for actual work.

100% relevant

Claude Code's New Cybersecurity Guardrails: How to Keep Your Security Research Flowing

Claude Opus 4.6 is now aggressively blocking cybersecurity prompts. Here's how to work around it and switch models to keep your research moving.

100% relevant

Karpathy's AI Research Agent: 630 Lines of Code That Could Reshape Machine Learning

Andrej Karpathy has released an open-source AI agent that autonomously runs ML research loops—modifying architectures, tuning hyperparameters, and committing improvements to Git while requiring minimal human oversight.

95% relevant

From Code to Discovery: The Next Frontier of AI Agents in Research

AI researcher Omar Saray predicts a shift from 'agentic coding' to 'agentic research'—where AI systems will autonomously conduct scientific discovery. This evolution promises to accelerate innovation across disciplines.

85% relevant

PetClaw AI Agent Automates Research Stack, Replaces $200/Month Tools

A developer claims PetClaw's desktop AI agent automated their entire research workflow—browsing, sourcing, dashboard building—and saved it as a reusable skill, replacing multiple paid tools. No code was written.

87% relevant

Walmart Research Proposes Unified Training for Sponsored Search Retrieval

A new arXiv preprint details Walmart's novel bi-encoder training framework for sponsored search retrieval. It addresses the limitations of using user engagement as a sole training signal by combining graded relevance labels, retrieval priors, and engagement data. The method outperformed the production system in offline and online tests.

99% relevant

Laid-Off Engineer Open-Sources AI Job Search System 'career-ops'

A developer created 'career-ops'—an open-source AI job search system that evaluates job offers, generates tailored application materials, and filters opportunities. The tool uses Claude Code to process job descriptions against a user's CV and has gained 8.2k GitHub stars.

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OpenAI President Teases 'Spud' Model, Two Years of Research

OpenAI President Greg Brockman briefly mentioned an upcoming model codenamed 'Spud', stating it represents 'two years worth of research that is coming to fruition.' No technical details or release timeline were provided.

87% relevant

CMU Research Identifies 'Biggest Unlock' for Coding Agents: Strategic Test Execution

New research from Carnegie Mellon University suggests the key advancement for AI coding agents lies not in raw code generation, but in developing strategies for how to run and interpret tests. This shifts focus from LLM capability to agentic reasoning.

87% relevant

OpenAI Shifts Sora Team to World-Model Research, Reportedly Cancels Video Model for Compute

A report claims OpenAI has redirected its Sora team to focus on world-model research for robotics and canceled the video model to free compute for a new, powerful LLM codenamed 'Spud.'

95% relevant

Cursor Launches Instant Grep: Millisecond Local Search Across Millions of Files

Cursor has launched Instant Grep, a local search tool that performs millisecond-level regex searches across millions of files. The feature is integrated into the Cursor IDE, targeting developers needing fast, offline code navigation.

85% relevant

An AI Agent Autonomously Tuned a Model and Beat Grid Search

A developer set up an AI agent to autonomously experiment with and tune a model's hyperparameters. The agent, working unattended, modified code and ran short training cycles, ultimately outperforming a traditional grid search.

100% relevant

OpenAI Targets First 'AI Intern' by September 2028, Building Toward Autonomous Researchers

OpenAI plans to deploy its first 'AI intern' by September and aims for a full autonomous research system by 2028. The effort builds on reasoning models and agent systems like Codex, which have shown dramatic productivity gains but still face reliability and safety challenges.

95% relevant

Dexter: An Autonomous AI Agent for Deep Financial Research, Open-Sourced on GitHub

An open-source AI agent named Dexter autonomously conducts deep financial research, pulling real-time data, self-checking analysis, and iterating until confident. Described as 'Claude Code, but for finance,' it breaks down complex financial questions.

85% relevant