Formats · Latest news
New features, redesigns, and commercial changes in AI products and applications.
267 top picks all-time · 173 in the past 30 days · chosen from 4,033 items collected all-time
Top picks 261–267 of 267
Quoc Le@quocleixXAI score62AIGoogle's Gemini 3 Deep Think mode is now available in the Gemini app for Ultra users.
Why it matters: The post names the access tier and the coding and scientific task focus, which helps readers judge whether the mode fits their work.
AICognition introduces SWE-grep and SWE-grep-mini, fast agentic models trained with reinforcement learning for multi-turn context retrieval in coding tasks.
Why it matters: The post explains the speed-intelligence tradeoff in agentic code search, showing how parallel tool calls and RL training change the cost of retrieving context for coding agents.
AICognition launched the official DeepWiki Model Context Protocol server, which is free and requires no login or authentication.
Why it matters: The source names the three tools and the access path, showing how indexed GitHub repositories can be queried programmatically without login.
AICognition has released Devin 2.1, which reports its confidence in completing tasks using green, yellow, and red ratings.
Why it matters: The post explains how Devin now shows confidence scores and asks clarifying questions, which changes how teams can decide which tasks to hand over.
AICognition has released Devin 2.0, a new agent-native IDE experience with a flexible plan starting at $20.
Why it matters: The release adds planning, codebase search, and auto-generated wikis to Devin, showing how an agent can prepare work before executing it.
AICognition is making Devin generally available to engineering teams starting at $500 a month, with no seat limits and access to its Slack integration, IDE extension, and API. The post recommends starting with small frontend bugs, first-draft PRs for backlog tasks, and targeted refactors, and shares open-source PR sessions where Devin resolved issues for projects including Anthropic MCP, Zod, and nanoGPT.
Why it matters: The post shows concrete open-source PR examples and the tasks where Devin works best, helping teams judge where an autonomous coding agent fits their workflow.
AICognition introduces Devin as an AI software engineer that can plan and execute complex engineering tasks with a shell, code editor, and browser.
Why it matters: The post pairs Devin's end-to-end task demos with SWE-bench results against prior models, letting readers weigh the claimed capability against the evaluation setup.