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@kashyechuri

@cursor_ai

SF Katılım Mart 2022
322 Takip Edilen1K Takipçiler
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kash
kash@kashyechuri·
Guide to getting the most out of coding agents (from the Cursor team): - plan before coding. when agent runs don't match what you wanted, revert changes and go back to the plan - let the agent find context, you don’t need to manually tag every file - start new conversations when switching tasks or if the agent seems confused - @ past chats instead of copy pasting whole conversations - rules = static context that applies to every conversation. start simple. add rules only when you notice the agent making the same mistake repeatedly. - skills = workflows agents can invoke when needed. you can set up hooks that keep agents grinding until all tests pass (see full guide below) - agents can process images directly from prompts (screenshots, design files, image paths). you can scribble on a piece of paper then share with Cursor - review review review - review during generation with the diff view - after the agent finishes, click review → find issues to run a dedicated review pass - use Bugbot for automated review on your PRs - for significant changes, ask the agent to generate architecture diagrams - run multiple agents in parallel, Cursor automatically creates and manages git worktrees for parallel agents. you can also run the same prompt across multiple models simultaneously - delegate tasks you’d add to a todo list to cloud agents (trigger agents from Slack with “@ Cursor”) - use debug mode when standard agent interactions struggle with a bug. provide detailed context about how to reproduce the issue. the more specific you are, the more useful instrumentation the agent adds. - devs who get the most from agents share a few traits: write specific prompts, iterate on their setup, review carefully, give agent verifiable goals, treat agents as capable collaborators
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Michael Feldstein
Michael Feldstein@msfeldstein·
Great first week on Cursor CLI with @luist188 We shipped a lot Rough edges sanded down And here's a thread with a few new features we added Lots to still do, feedback always welcome
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Cursor
Cursor@cursor_ai·
Cursor Automations now support event-based triggers for Sentry. Set up agents that automatically respond to new issues, investigate root causes, open PRs with fixes, and post summaries to Slack.
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Cursor
Cursor@cursor_ai·
We’re introducing Cursor 3. It is simpler, more powerful, and built for a world where all code is written by agents, while keeping the depth of a development environment.
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lauren
lauren@potetotes·
This week I joined @cursor_ai! It's been incredible watching this small but mighty team and I'm excited to be a part of ushering in the third era of AI software development. Very grateful to the @reactjs team and @meta for the opportunity to have worked on React for the past 6 years. Shipping React Compiler at React Conf is going to be one of the major highlights of my career. I will hopefully continue to still be able to contribute to React in my own time.
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Aman Sanger
Aman Sanger@amanrsanger·
We're increasing capacity for Composer 2, 2x more usage all weekend! Try it out!
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Cursor
Cursor@cursor_ai·
Composer 2 is now available in Cursor.
Cursor tweet media
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Cursor
Cursor@cursor_ai·
Over 30 new plugins are now available on the Cursor Marketplace.
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Lee Robinson
Lee Robinson@leerob·
You can now use Cursor with 30+ ACP clients, including OpenClaw 🦞 This means complete access to Composer 1.5, codebase indexing and semantic search, and more! Here's an example with avante.nvim
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Michael Truell
Michael Truell@mntruell·
Will be doing an AMA tomorrow at noon PT! Will try to answer as much as I can about Cursor, models, AI coding, etc.
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Cursor
Cursor@cursor_ai·
Semantic search significantly improves coding agent performance. For very large codebases, Cursor's indexing process is now several orders of magnitude faster. cursor.com/blog/secure-co…
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kash
kash@kashyechuri·
Subagents are available in Cursor 2.4. Your agent can now spawn workers to tackle parts of a task in parallel. Each one gets its own context and can be configured with custom prompts, tools, and models.
Cursor@cursor_ai

Cursor now uses subagents to complete parts of a task in parallel. Subagents lead to faster overall execution and better context usage. They also let agents work on longer-running tasks. Also new: Cursor can generate images, ask clarifying questions, and more.

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