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Stop manually making flowcharts. Try this GitHub skill with Claude Code. I found an open-source tool that turns a plain description of a software system into a clean, interactive diagram. It's called Archify, and it has more than 66,000 stars on GitHub. You add it as a skill to... an AI coding agent like Claude Code, Codex, Cursor, or OpenCode. Then you describe the system in the chat in one line. Archify turns that line into a single HTML file you can open, click through, and send to anyone. If you point your agent at an existing codebase, it reads the code and Archify maps how the pieces connect. I liked five things about it. 1. It makes five kinds of diagrams, including system maps and step-by-step workflows. 2. You can click any piece and trace what connects to it. 3. It checks the layout before it hands the diagram over, so arrows don't pile up and labels don't overlap. 4. It has dark and light themes and exports to PNG, SVG, or a short video. 5. You keep editing in plain chat, with requests like "add Redis" or "highlight the rollback path." You don't need a codebase to use it. A description in the chat is enough.show more

Alex Veremeyenko

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61,928 次观看 • 1 个月前 •via X (Twitter)

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Claude Code can now go find the right skill itself, instead of you searching for one. it's called find-skills. a small package that plugs into Claude Code, and instead of you hunting for rest, you just describe the task and it searches the whole open skills ecosystem, finds the ones that fit, and installs them for you. > tell it what you're trying to do, in plain english > it scans the skills registry and maps your task to real skills > it pulls the right ones in and sets them up half the time you don't even know a skill exists for what you're doing. now you don't have to.

Claude Code can now go find the right skill itself, instead of you searching for one. it's called find-skills. a small package that plugs into Claude Code, and instead of you hunting for rest, you just describe the task and it searches the whole open skills ecosystem, finds the ones that fit, and installs them for you. > tell it what you're trying to do, in plain english > it scans the skills registry and maps your task to real skills > it pulls the right ones in and sets them up half the time you don't even know a skill exists for what you're doing. now you don't have to.

Alvaro Cintas

38,829 次观看 • 2 个月前

I genuinely don't understand why everyone isn't using this yet Andrej Karpathy, a co-founder of OpenAI, posted a simple idea that hit 16 million views: stop using AI to write code, use it to build a second brain. You point Claude Code at a folder, drop in any source, an article, a transcript, a PDF, and Claude reads it, links it, and files it into a living wiki of everything you know. It compounds like interest, the more you feed it, the smarter it gets. Here's the whole thing: > Install Obsidian, create a vault, open it in Claude Code > Paste Karpathy's wiki idea file and tell Claude to build it > Claude makes three folders: raw for sources, wiki for its pages, a CLAUDE.md that runs it > Drop any source into raw and say "ingest this" > Ask questions across everything, forever Five minutes to set up, and you never start from a blank chat again. Full step-by-step guide with Claude and Obsidian, link below. Bookmark this

I genuinely don't understand why everyone isn't using this yet Andrej Karpathy, a co-founder of OpenAI, posted a simple idea that hit 16 million views: stop using AI to write code, use it to build a second brain. You point Claude Code at a folder, drop in any source, an article, a transcript, a PDF, and Claude reads it, links it, and files it into a living wiki of everything you know. It compounds like interest, the more you feed it, the smarter it gets. Here's the whole thing: > Install Obsidian, create a vault, open it in Claude Code > Paste Karpathy's wiki idea file and tell Claude to build it > Claude makes three folders: raw for sources, wiki for its pages, a CLAUDE.md that runs it > Drop any source into raw and say "ingest this" > Ask questions across everything, forever Five minutes to set up, and you never start from a blank chat again. Full step-by-step guide with Claude and Obsidian, link below. Bookmark this

Ridark

7,044,418 次观看 • 4 个月前

I still don't understand why everyone is not using this yet. Thanks to it, a year ago I increased my income to 17,000 dollars a month Andrey Karpathy, co-founder of OpenAI, published a simple idea that got 16 million views: stop using AI to write code, use it to build a second brain You point Claude Code to a folder, drop any source in there (an article, transcript, PDF) and Claude reads it, links it, and saves it into a living wiki of everything you know. It compounds like interest: the more you feed it, the smarter it gets Here is the gist: Install Obsidian, create a vault, open it in Claude Code Paste the file with Karpathy's wiki idea and tell Claude to build it Claude creates three folders: raw for sources, wiki for its pages, CLAUDE which runs everything Drop any source into raw and say "ingest this" Ask questions across everything, forever Five minutes to set up, and you never start with an empty chat again The full step-by-step guide is in the article. Save to bookmarks

I still don't understand why everyone is not using this yet. Thanks to it, a year ago I increased my income to 17,000 dollars a month Andrey Karpathy, co-founder of OpenAI, published a simple idea that got 16 million views: stop using AI to write code, use it to build a second brain You point Claude Code to a folder, drop any source in there (an article, transcript, PDF) and Claude reads it, links it, and saves it into a living wiki of everything you know. It compounds like interest: the more you feed it, the smarter it gets Here is the gist: Install Obsidian, create a vault, open it in Claude Code Paste the file with Karpathy's wiki idea and tell Claude to build it Claude creates three folders: raw for sources, wiki for its pages, CLAUDE which runs everything Drop any source into raw and say "ingest this" Ask questions across everything, forever Five minutes to set up, and you never start with an empty chat again The full step-by-step guide is in the article. Save to bookmarks

Bober_smart

2,887,374 次观看 • 2 个月前

Give Opus 5.5 𝗮 𝗰𝗹𝗶𝗰𝗸𝗮𝗯𝗹𝗲 𝗺𝗼𝘁𝗶𝗼𝗻 𝗱𝗶𝗰𝘁𝗶𝗼𝗻𝗮𝗿𝘆: 𝟭𝟮𝟬 𝗺𝗼𝘃𝗶𝗻𝗴 𝘀𝗮𝗺𝗽𝗹𝗲𝘀, each labelled with its name and a ready-made prompt. Click the ones you like, and Claude Code builds them into your video or site. Five packs: motion graphics, camera moves and transitions, UI components, landing page and web effects, and photo looks and lighting. Four steps: 1. Paste the line at the end into Claude Code to install the skill 2. Tell it "Open the motion-prompt library" 3. Tick the samples you like in the gallery and press "Send to AI" 4. Back in Claude Code, say "Edit the opening of this video like this" It gets each sample's motion spec and reference code, and it works with Remotion, CSS or Canvas. Without the skill, press "Copy picks" and paste them in. Paste this into Claude Code and it installs itself 👇 "Read and install the motion-prompt skill in this environment. When it is installed, tell me how to use it in three lines."

Give Opus 5.5 𝗮 𝗰𝗹𝗶𝗰𝗸𝗮𝗯𝗹𝗲 𝗺𝗼𝘁𝗶𝗼𝗻 𝗱𝗶𝗰𝘁𝗶𝗼𝗻𝗮𝗿𝘆: 𝟭𝟮𝟬 𝗺𝗼𝘃𝗶𝗻𝗴 𝘀𝗮𝗺𝗽𝗹𝗲𝘀, each labelled with its name and a ready-made prompt. Click the ones you like, and Claude Code builds them into your video or site. Five packs: motion graphics, camera moves and transitions, UI components, landing page and web effects, and photo looks and lighting. Four steps: 1. Paste the line at the end into Claude Code to install the skill 2. Tell it "Open the motion-prompt library" 3. Tick the samples you like in the gallery and press "Send to AI" 4. Back in Claude Code, say "Edit the opening of this video like this" It gets each sample's motion spec and reference code, and it works with Remotion, CSS or Canvas. Without the skill, press "Copy picks" and paste them in. Paste this into Claude Code and it installs itself 👇 "Read and install the motion-prompt skill in this environment. When it is installed, tell me how to use it in three lines."

Vox

63,173 次观看 • 20 天前

You can now review the code written by Claude Code, Codex, OpenCode, and more directly in Warp, and send inline comments straight to the agent. It's like a PR review without having to leave your terminal. Try it out!

You can now review the code written by Claude Code, Codex, OpenCode, and more directly in Warp, and send inline comments straight to the agent. It's like a PR review without having to leave your terminal. Try it out!

Warp

223,394 次观看 • 7 个月前

your agent already does the work. reports. research. plans. full websites. then it dies in a chat reply. or a .md file. or a localhost page nobody else can open. showly fixes the last step. it's an agent artifact cloud. connect the agent you already use. claude code, codex, cursor, openclaw, hermes. ask it to deliver the work as a page. you review it privately. you decide who sees it. password, specific emails, your company domain, or fully public. then you share one link. every update is saved. go back to any version whenever you want. done isn't "the agent answered." done is an artifact with a link. first reply: start free. no credit card.

your agent already does the work. reports. research. plans. full websites. then it dies in a chat reply. or a .md file. or a localhost page nobody else can open. showly fixes the last step. it's an agent artifact cloud. connect the agent you already use. claude code, codex, cursor, openclaw, hermes. ask it to deliver the work as a page. you review it privately. you decide who sees it. password, specific emails, your company domain, or fully public. then you share one link. every update is saved. go back to any version whenever you want. done isn't "the agent answered." done is an artifact with a link. first reply: start free. no credit card.

Iris Hayes

44,421 次观看 • 1 个月前

ANTHROPIC JUST TURNED AI AGENTS INTO GIT REPOS Anthropic shipped "ant" - a CLI that runs every Claude API endpoint straight from your terminal. The headline isn't the terminal access. It's that you can now version-control an AI agent as YAML in Git and have CI sync it to the Claude Platform, the same way you ship code. - Every API resource is a subcommand: messages, models, files, agents, sessions - Define an agent in a YAML file, check it into your repo, and keep it in sync with one update command - Spin up a session, send it an event, then pull every event and tool call back from the same CLI - Claude Code knows how to drive ant out of the box - it shells out and reads the results with no glue code Agents just stopped being prompts you babysit and became infrastructure you deploy.

ANTHROPIC JUST TURNED AI AGENTS INTO GIT REPOS Anthropic shipped "ant" - a CLI that runs every Claude API endpoint straight from your terminal. The headline isn't the terminal access. It's that you can now version-control an AI agent as YAML in Git and have CI sync it to the Claude Platform, the same way you ship code. - Every API resource is a subcommand: messages, models, files, agents, sessions - Define an agent in a YAML file, check it into your repo, and keep it in sync with one update command - Spin up a session, send it an event, then pull every event and tool call back from the same CLI - Claude Code knows how to drive ant out of the box - it shells out and reads the results with no glue code Agents just stopped being prompts you babysit and became infrastructure you deploy.

BuBBliK

200,690 次观看 • 5 个月前

I built a thing using Jev. Have you ever been annoyed by not finding an old Claude Code or Codex chat? => Now you can just describe what it was about and Jev finds it in milliseconds. Open Source:

I built a thing using Jev. Have you ever been annoyed by not finding an old Claude Code or Codex chat? => Now you can just describe what it was about and Jev finds it in milliseconds. Open Source:

Florian S

85,808 次观看 • 1 个月前

STOP STORING NOTES. START COMPILING THEM. a pile of notes isn't memory. it's accumulation wearing memory's clothes. these 7 repos build the other kind, where Claude reads a source once and links it to everything you already have. copy the list: graphify: turns a codebase with its docs, SQL schemas, configs and PDFs into a queryable knowledge graph. 127k stars Understand-Anything: maps a project's code, docs or wiki into a graph you can search and query from your coding assistant. 86k stars claude-obsidian: lets Claude Code build and maintain a Markdown knowledge base in Obsidian, with source-backed notes and grounded answers. 15k stars obsidian-second-brain: gives Claude Code long-term memory as plain markdown notes in an Obsidian vault. 4.8k stars claude-code-memory-setup: an Obsidian vault as persistent memory, graphs for your codebase, and a pipeline that saves insights from your chats. 1k stars second-brain: an Obsidian knowledge base the LLM maintains, built on Karpathy's LLM Wiki pattern. 727 stars llm-wikid: an agent compiles your raw sources into cross-linked wiki pages in Obsidian. 420 stars none of them is your second brain. they're the compiler. the brain is what you feed it pick one and feed it your first 50 sources. before that, a compiled wiki behaves like a plain search engine, so don't quit early. the full setup is in the article

STOP STORING NOTES. START COMPILING THEM. a pile of notes isn't memory. it's accumulation wearing memory's clothes. these 7 repos build the other kind, where Claude reads a source once and links it to everything you already have. copy the list: graphify: turns a codebase with its docs, SQL schemas, configs and PDFs into a queryable knowledge graph. 127k stars Understand-Anything: maps a project's code, docs or wiki into a graph you can search and query from your coding assistant. 86k stars claude-obsidian: lets Claude Code build and maintain a Markdown knowledge base in Obsidian, with source-backed notes and grounded answers. 15k stars obsidian-second-brain: gives Claude Code long-term memory as plain markdown notes in an Obsidian vault. 4.8k stars claude-code-memory-setup: an Obsidian vault as persistent memory, graphs for your codebase, and a pipeline that saves insights from your chats. 1k stars second-brain: an Obsidian knowledge base the LLM maintains, built on Karpathy's LLM Wiki pattern. 727 stars llm-wikid: an agent compiles your raw sources into cross-linked wiki pages in Obsidian. 420 stars none of them is your second brain. they're the compiler. the brain is what you feed it pick one and feed it your first 50 sources. before that, a compiled wiki behaves like a plain search engine, so don't quit early. the full setup is in the article

rvaniaaa

61,287 次观看 • 21 天前

We built the best codebase search to give any agent grounded information from GitHub repos. Introducing Sandbox Search. Point it at any repo, and we’ll spin up a secure coding agent in its own sandbox to do research for you. Use inside claude code, openclaw, cursor, and more.

We built the best codebase search to give any agent grounded information from GitHub repos. Introducing Sandbox Search. Point it at any repo, and we’ll spin up a secure coding agent in its own sandbox to do research for you. Use inside claude code, openclaw, cursor, and more.

Arlan

12,412 次观看 • 7 个月前

It is becoming f*cking dangerous: I don't understand why everyone still isn't doing this, thanks to this I reached an income of $12,000 as early as 3 months ago Andrej Karpathy, co-founder of OpenAI, shared a straightforward concept that blew up with over 23 million views: stop relying on AI strictly for coding and start using it to construct your own personal knowledge engine Point Claude Code to a folder, toss in raw materials (whether it's an article, a video transcript, or a PDF) and Claude processes everything, links relevant topics together, and organizes it into a self-updating wiki of your personal knowledge. It acts like compound interest: the more information you add, the more capable it becomes Here is the exact breakdown: Set up Obsidian, create a fresh vault, and open it using Claude Code Supply Karpathy's wiki layout prompt and instruct Claude to build the architecture Claude automatically sets up three components: a ⁠raw⁠ directory for source files, a ⁠wiki⁠ directory for processed pages, and a ⁠CLAUDE.md⁠ control file to run the system Dump any document into the ⁠raw⁠ folder and run "ingest this" Query your entire knowledge repository at any time, indefinitely It takes just five minutes to configure, eliminating the need to ever start a conversation with a completely blank context window again Check the link below for the complete step-by-step walkthrough on setting up Claude with Obsidian Bookmark this post for later

It is becoming f*cking dangerous: I don't understand why everyone still isn't doing this, thanks to this I reached an income of $12,000 as early as 3 months ago Andrej Karpathy, co-founder of OpenAI, shared a straightforward concept that blew up with over 23 million views: stop relying on AI strictly for coding and start using it to construct your own personal knowledge engine Point Claude Code to a folder, toss in raw materials (whether it's an article, a video transcript, or a PDF) and Claude processes everything, links relevant topics together, and organizes it into a self-updating wiki of your personal knowledge. It acts like compound interest: the more information you add, the more capable it becomes Here is the exact breakdown: Set up Obsidian, create a fresh vault, and open it using Claude Code Supply Karpathy's wiki layout prompt and instruct Claude to build the architecture Claude automatically sets up three components: a ⁠raw⁠ directory for source files, a ⁠wiki⁠ directory for processed pages, and a ⁠CLAUDE.md⁠ control file to run the system Dump any document into the ⁠raw⁠ folder and run "ingest this" Query your entire knowledge repository at any time, indefinitely It takes just five minutes to configure, eliminating the need to ever start a conversation with a completely blank context window again Check the link below for the complete step-by-step walkthrough on setting up Claude with Obsidian Bookmark this post for later

Bober_smart

83,494 次观看 • 22 天前

OpenClaw, but built for normal people. Sim is an open-source platform that lets you build AI agent workflows on a drag-and-drop canvas. Connect them to channels like Telegram and WhatsApp and deploy without writing a single line of code. They also have a built-in Copilot that generates entire workflows from plain English, which you can then tweak and customize in the UI. Key features: - Free and open-source (Apache 2.0) - Vector store integration for RAG-grounded agents - Self-host with one command (`npx simstudio`) - Run fully local with Ollama, no API keys needed - Supports vLLM for production-grade self-hosted inference The thing I really like about Sim is the level of control you get. You can add conditional branching, parallel execution, human-in-the-loop approval gates, and even nest workflows inside other workflows. Everything is visible on the canvas, so you know exactly what your agent is doing at every step. And you can build a workflow in Sim, deploy it as an MCP server, and plug it into any agent, including OpenClaw. I've shared the link to Sim's GitHub repo in the next tweet.

OpenClaw, but built for normal people. Sim is an open-source platform that lets you build AI agent workflows on a drag-and-drop canvas. Connect them to channels like Telegram and WhatsApp and deploy without writing a single line of code. They also have a built-in Copilot that generates entire workflows from plain English, which you can then tweak and customize in the UI. Key features: - Free and open-source (Apache 2.0) - Vector store integration for RAG-grounded agents - Self-host with one command (`npx simstudio`) - Run fully local with Ollama, no API keys needed - Supports vLLM for production-grade self-hosted inference The thing I really like about Sim is the level of control you get. You can add conditional branching, parallel execution, human-in-the-loop approval gates, and even nest workflows inside other workflows. Everything is visible on the canvas, so you know exactly what your agent is doing at every step. And you can build a workflow in Sim, deploy it as an MCP server, and plug it into any agent, including OpenClaw. I've shared the link to Sim's GitHub repo in the next tweet.

Akshay 🚀

52,426 次观看 • 8 个月前

if you use claude code, this will save you real money. the problem: every time you make an edit, your ai rereads the whole codebase to figure out what changed. tens of thousands of tokens, every turn, for context it already had. this repo fixes it. it’s called code review graph, and it just maps your entire codebase: every file, every function, every connection laid out so you can see the actual shape of your project how to set up (2 min): 1. pip install code-review-graph 2. code-review-graph install - auto-configures Claude Code, Cursor, Codex, Gemini CLI + more 3. code-review-graph build change one function, and it traces exactly what that touches... every caller, every dependent file, every test. your ai only reads what's affected, not the whole repo. and the savings are wild. a task that used to burn ~100,000 tokens (about a dollar) now runs closer to a penny.

if you use claude code, this will save you real money. the problem: every time you make an edit, your ai rereads the whole codebase to figure out what changed. tens of thousands of tokens, every turn, for context it already had. this repo fixes it. it’s called code review graph, and it just maps your entire codebase: every file, every function, every connection laid out so you can see the actual shape of your project how to set up (2 min): 1. pip install code-review-graph 2. code-review-graph install - auto-configures Claude Code, Cursor, Codex, Gemini CLI + more 3. code-review-graph build change one function, and it traces exactly what that touches... every caller, every dependent file, every test. your ai only reads what's affected, not the whole repo. and the savings are wild. a task that used to burn ~100,000 tokens (about a dollar) now runs closer to a penny.

Alvaro Cintas

75,596 次观看 • 3 个月前

✨ [ This week on ] is finally live because Piotrek Bodera asked me to finish it and then I in turn asked Claude Code to finish it 😝 It goes into members chat and summarizes what happened in the top channels this week It also checks your current location (for me Brazil) and puts that channel on top of the email, because that's most relevant for you If you click the channel it deep links you into that country's channel in Telegram, and if you click a user it goes to their web profile It's a fun way to stay up to date and also keep people involved in the chat (the core of the community) 😊👌 ✅ Another todo wiped off my list!

@levelsio

16,469 次观看 • 8 个月前

I just open-sourced my /learn skill. Learn anything with agents and HTML artifacts. I have been learning about all kinds of topics with it. Install the skill and interact with any agent to help you through any topic. Ask it to generate visual and interactive artifacts and help you go deeper or generate knowledge checks (e.g., quizzes). Upskilling myself on any topic is one of the most impactful ways I have been able to use AI agents. If you are a DAIR Academy pro member, you can use it with our AI Builder. Skill: Try now:

I just open-sourced my /learn skill. Learn anything with agents and HTML artifacts. I have been learning about all kinds of topics with it. Install the skill and interact with any agent to help you through any topic. Ask it to generate visual and interactive artifacts and help you go deeper or generate knowledge checks (e.g., quizzes). Upskilling myself on any topic is one of the most impactful ways I have been able to use AI agents. If you are a DAIR Academy pro member, you can use it with our AI Builder. Skill: Try now:

elvis

35,433 次观看 • 4 个月前

Introducing Pages on Superset is now Paradev mobile Your agents can now deliver interactive demos, mockups, and reports as Pages you can review from your phone. Ask an agent to build a feature, compare designs, or investigate a problem. It can put the result in a Page with the context you need to review it and give feedback. A few ways to use it: • Feature work: try an interactive demo, then inspect the code in the PR. • Design reviews: compare mockups and before-and-after screenshots. • Investigations: explore findings, charts, and recommendations in one place. To try it, ask your agent to build a feature and create a Page for you to review.

Introducing Pages on Superset is now Paradev mobile Your agents can now deliver interactive demos, mockups, and reports as Pages you can review from your phone. Ask an agent to build a feature, compare designs, or investigate a problem. It can put the result in a Page with the context you need to review it and give feedback. A few ways to use it: • Feature work: try an interactive demo, then inspect the code in the PR. • Design reviews: compare mockups and before-and-after screenshots. • Investigations: explore findings, charts, and recommendations in one place. To try it, ask your agent to build a feature and create a Page for you to review.

Kiet

86,170 次观看 • 1 个月前

Claude Code upgraded my grandma’s old TV to a real Smart TV with one prompt... For years she couldn’t watch anything on it. Netflix wouldn’t open. YouTube kept saying “update required”. The TV was stuck on software from 2018 and the company stopped caring about it a long time ago So I typed one line into Claude Code: flash my Android TV to the new Smart TV firmware Here’s what it did, in simple words: → It found the TV on her Wi-Fi and connected to it → It checked the model and the old system. Android 9 → It put the TV into update mode and installed a brand new system. 6.4 GB in about 41 seconds → It checked every part of the install, then restarted the TV The TV came back on with a new system, 4K HDR and a voice assistant. Then Claude installed YouTube, Netflix, Prime Video, Spotify, Disney+ and the Play Store by itself Same TV. Same remote. Zero dollars She thinks I bought her a new one Want to try it on an old TV at home: step 1 → open Claude Code and paste the prompt from the first comment step 2 → it checks your exact model and finds the official update for it step 3 → it tells you what it’s going to do before it touches anything What old device should I bring back to life next?

Rikitan

50,914 次观看 • 12 天前

Claude Code just reverse-engineered my Wi-Fi router... found why it was so f*cking slow and fixed it in 5 minutes check yours, here's full guide step by step: step 1 → paste prompt below into Claude Code with photo of your router and tell it what's wrong. If you just want a diagnosis, it works too step 2 → it gives you one command to save your router password to your keychain, run it - the password never touches the chat step 3 → Claude shows each fix with the old and new value, you just say yes step 4 → the rest is on Claude: it backs up every setting, finds what's killing your speed (crowded channel, wrong band, narrow width, old WI-FI mode, lag) and re-tests after every fix the result: before and after speed in one line, and a router that takes orders from chat: "who's on my WI-FI", "reboot the router" and other... p.s: works with most routers, if yours is different, just tell Claude Code and it'll find another way in Try right now, don't forget me later. Then read article below shows how to reverse-engineer anything:

Claude Code just reverse-engineered my Wi-Fi router... found why it was so f*cking slow and fixed it in 5 minutes check yours, here's full guide step by step: step 1 → paste prompt below into Claude Code with photo of your router and tell it what's wrong. If you just want a diagnosis, it works too step 2 → it gives you one command to save your router password to your keychain, run it - the password never touches the chat step 3 → Claude shows each fix with the old and new value, you just say yes step 4 → the rest is on Claude: it backs up every setting, finds what's killing your speed (crowded channel, wrong band, narrow width, old WI-FI mode, lag) and re-tests after every fix the result: before and after speed in one line, and a router that takes orders from chat: "who's on my WI-FI", "reboot the router" and other... p.s: works with most routers, if yours is different, just tell Claude Code and it'll find another way in Try right now, don't forget me later. Then read article below shows how to reverse-engineer anything:

codila

220,256 次观看 • 17 天前

The best way to use o1 in Cursor: Let it analyze and explain the codebase to you o1 is extremely good at this. You can jump into any new codebase and quickly get a good understanding of it

The best way to use o1 in Cursor: Let it analyze and explain the codebase to you o1 is extremely good at this. You can jump into any new codebase and quickly get a good understanding of it

Moritz Kremb

87,335 次观看 • 1 年前