devin
30 articles about devin in AI news
Why Claude Code's 80.8% SWE-Bench Score and 1M Context Window Beat Codex
Claude Code's 80.8% SWE-Bench score, 1M token context, and local execution make it the top choice for senior devs—use `claude code` in your terminal for complex codebase work.
SemiAnalysis: Perplexity Slack Bot Beats Claude in Internal Trial
SemiAnalysis found Perplexity's Slack bot beats Claude in internal trial. 96% token budget goes to Anthropic, but usage may shift.
Anthropic's Jack Clark: ~60% chance of automated AI R&D by 2028
Anthropic's Jack Clark forecasts ~30% chance of automated AI R&D by 2027 and ~60%+ by 2028, driven by coding gains and agents.
GPT-5.5 + Codex Combines App Building, Browser Use, Image Gen
@intheworldofai claims GPT-5.5 + Codex is a super app better than Claude Code, with 7 capabilities including app building, debugging, browser use, and image generation.
Delegate Launches: An AI Agent You Hand Work To and Walk Away
A new AI agent called Delegate lets users assign work and walk away, with the agent handling execution autonomously. The launch signals a shift toward hands-off AI assistants that manage complex tasks independently.
OpenCLAW-P2P v6.0 Cuts Paper Lookup Latency to <50ms
OpenCLAW-P2P v6.0 introduces a multi-layer persistence architecture and live reference verification, reducing paper retrieval latency from >3s to <50ms and operating with 14 autonomous agents that scored 50+ papers.
Free-Claude-Code Proxy Routes Anthropic API to Free NVIDIA NIM Models
A developer released free-claude-code, a proxy that intercepts Claude Code's API calls and routes them to free NVIDIA NIM endpoints, unlocking free access to models like Kimi K2 and GLM 4.7. This bypasses Anthropic's subscription fees and adds remote execution via a Telegram bot.
Swiss AI Lab Ships Pixel-Based Agents That Control Real Phones
A Swiss AI lab has developed agents that interact with smartphones by processing screen pixels and simulating touch, eliminating the need for app-specific APIs or integrations. This approach mirrors human interaction and could generalize across any app interface.
Claude's Cowork Adds Live Dashboards Connected to Apps & Files
Anthropic expanded its Claude Cowork collaborative workspace with live artifacts. Users can now create dashboards and trackers that pull live data from connected apps and files.
Skill-RAG Uses Hidden-State Probes to Trigger Retrieval Only When Needed
Researchers introduced Skill-RAG, a system that uses hidden-state probing to detect when an LLM is about to fail, triggering targeted retrieval. This improves over uniform RAG baselines on HotpotQA, Natural Questions, and TriviaQA.
OpenAI Weekly Active Users Stagnate Since February, Growth Goal Challenged
OpenAI's weekly active user count has shown no increase since February 2024, according to an analysis. This stagnation presents a headwind to the company's stated ambition of reaching one billion users.
Geoffrey Hinton: AI Breaks Historical Job Replacement Cycle
AI pioneer Geoffrey Hinton states that unlike past technological revolutions, AI can replace both physical and intellectual labor simultaneously, breaking the historical cycle of job displacement and creation.
OpenAI Engineer Processed 210B Tokens, Sparking AI Efficiency Debate
An OpenAI engineer processed 210 billion tokens in one week, equivalent to 33 Wikipedia-sized datasets. This extreme usage spotlights a growing trend where high AI consumption by engineers leads to a 10x cost increase and a high volume of discarded code.
Omar Sar Uses Opus 4.7 Agent to Turn Podcasts into Self-Improving Wikis
AI researcher Omar Sar automated podcast consumption using an Opus 4.7 agent that extracts insights, generates analysis, and builds interactive HTML/JS artifacts. The system creates a self-improving knowledge wiki for agentic research workflows.
New Protocol Enables Self-Improving AI Agents with Auditable Lineage
Researchers have proposed a formal protocol for creating self-improving AI agent systems. The framework enables agents to autonomously evaluate and implement upgrades while maintaining auditable lineage and safe rollback options.
Chamath: AI Coding Agents Erase the '10x Engineer' Advantage
Chamath Palihapitiya argues AI coding agents are eliminating the '10x engineer' by making the most efficient code paths obvious to all, similar to how AI solved chess. This reduces technical differentiation and shifts the basis of engineering value.
Claude Code Reverse-Engineered: 98.4% of Codebase is Operational Harness
A reverse-engineering analysis of Claude Code reveals only 1.6% of its codebase is AI decision logic, with the rest being operational infrastructure. This challenges current agent design paradigms by prioritizing a robust deterministic harness over complex model routing.
Cabinet Launches Open-Source 'Startup OS' with 20 AI Agents
Cabinet, an open-source 'Startup OS,' has launched, offering a suite of 20 AI agents designed to automate various business functions. The platform is positioned as a free alternative to paid AI team solutions.
Ethan Mollick on AI's Impact: 'Everything Is Someone's Life Work' No Longer True
AI researcher Ethan Mollick notes the foundational assumption that 'everything around me is somebody's life work' is being invalidated by generative AI, signaling a profound shift in how we value human output.
Autogenesis Protocol Enables Self-Evolving AI Agents Without Retraining
A new paper introduces Autogenesis, a self-evolving agent protocol. Agents can assess their own shortcomings, propose and test improvements, and update their operational framework in a continuous loop.
Google's 'TestPilot' AI Agent Debugs Integration Tests from Logs
Google introduced TestPilot, an AI agent that diagnoses integration test failures by sifting through logs and suggesting code fixes. It autonomously resolved 15% of real-world Python test failures in an experiment.
MCP vs CLI: The Hidden War for AI Agent Tool Integration
A fundamental architectural debate pits Anthropic's standardized Model Context Protocol (MCP) against traditional CLI execution for AI agent tool use. The choice between safety/standardization (MCP) and flexibility/speed (CLI) will shape enterprise AI deployment.
OpenAI Codex Gains Screen Control, Long-Run Agents, and 90+ Plugins
OpenAI has upgraded Codex from a code-completion tool to an agentic macOS assistant that can see/click screens, run for weeks autonomously, and integrate with 90+ dev tools. This marks a strategic move into persistent, multi-modal coding agents.
OpenAI Codex Update Adds macOS Agent, Browser, Memory; 3M Weekly Users
OpenAI released a major Codex update featuring background macOS automation, an in-app browser, persistent memory, and 90+ plugins. With 3M weekly users and nearly half of usage now non-coding, Codex is being repositioned as a general work agent.
GPT-5.4 Spends 3 Hours Optimizing Embedding Model for Qualcomm NPU
An X user observed GPT-5.4 working for three hours to optimize an embedding model specifically for the Qualcomm NPU. This suggests a practical application of advanced AI for hardware-specific model tuning.
Emergent AI Launches Work Stress Copilot, Integrates with Slack & Teams
Emergent AI has launched a new 'Work Stress Copilot' agent that integrates with Slack and Microsoft Teams to autonomously manage calendar scheduling, email triage, and meeting prep. The tool aims to directly reduce cognitive load by automating repetitive administrative work.
MiniMax M2.7 Used by AtomicBot to Generate Flappy Bird Clone
A developer used the open-source MiniMax M2.7 frontier model to generate a complete, playable desktop game from a text prompt. This demonstrates practical code generation for creative applications.
OpenAI Agents SDK Gains Containerized Execution & Step Control
OpenAI has released new capabilities for its Agents SDK, including containerized execution and granular step control, giving developers more tools to build and manage long-running AI agents.
Humwork AI Launches A2P Marketplace, Shifts Humans to On-Demand Fallback
Humwork AI has launched a marketplace where AI agents execute work end-to-end, fundamentally shifting the labor model from peer-to-peer (P2P) to agent-to-peer (A2P). This repositions humans from default workers to an on-demand fallback layer, a significant threshold for AI agent economics.
AiScientist Agent Uses 'File-as-Bus' to Score 81.82% on MLE-Bench Lite
Researchers introduced AiScientist, an autonomous ML research agent that uses a 'File-as-Bus' architecture for state management. It scores 81.82% on MLE-Bench Lite, with the file system contributing 31.82 points of that performance.