正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

AI coding agents are moving past “write me code.” They can now build, review, and improve the same project. So we connected Claude Code to Step 3.7 flash and gave it a real task.

Future Stacked

283,486 subscribers

231,171 次观看 • 3 个月前 •via X (Twitter)

新闻政治科学技术

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Most AI coding agents can write code. But what happens when you give one agent an entire project and tell it to figure everything out? I put EvoX Agent to the test. Here’s what happened ↓

Most AI coding agents can write code. But what happens when you give one agent an entire project and tell it to figure everything out? I put EvoX Agent to the test. Here’s what happened ↓

GrowAIHub

55,857 次观看 • 1 个月前

Claude Code Desktop now opens a new window for each session This makes it much easier to visualize multiple Claude Code agents running in parallel My current stack depends on the task: - Ghostty: when starting a project. Bash commands, git, env variables, provider connections. All manual through the terminal with a Claude panel running alongside. - Claude Code Desktop: once everything is configured. GitHub connected, CLAUDE.md, Skills, subagents and Hooks ready. Claude Code runs on its own, no more terminal setup, just panels running and outputs to review. - VSCode: when I need to review code by hand. I use it less and less, but there are moments where I have to confirm Claude got it right. I usually open the Claude extension inside VSCode, but it lacks most of the CLI features so it's limited Solid update. Worth trying once your workflows are already set up 👇

Claude Code Desktop now opens a new window for each session This makes it much easier to visualize multiple Claude Code agents running in parallel My current stack depends on the task: - Ghostty: when starting a project. Bash commands, git, env variables, provider connections. All manual through the terminal with a Claude panel running alongside. - Claude Code Desktop: once everything is configured. GitHub connected, CLAUDE.md, Skills, subagents and Hooks ready. Claude Code runs on its own, no more terminal setup, just panels running and outputs to review. - VSCode: when I need to review code by hand. I use it less and less, but there are moments where I have to confirm Claude got it right. I usually open the Claude extension inside VSCode, but it lacks most of the CLI features so it's limited Solid update. Worth trying once your workflows are already set up 👇

Daniel San

38,806 次观看 • 4 个月前

Meet Muse Spark 1.2 and Muse Code, the agent built to run it against your coding challenges. Now in beta. Together they take a task from idea to production, and deploy teams of agents that plan, write and refine across your repos. Start building now:

Meet Muse Spark 1.2 and Muse Code, the agent built to run it against your coding challenges. Now in beta. Together they take a task from idea to production, and deploy teams of agents that plan, write and refine across your repos. Start building now:

Meta for Developers

155,499 次观看 • 2 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 • 2 个月前

Transform a research idea into a paper end-to-end Turn Claude Code or Codex into research agents that can build an experiment tree + write LaTex to summarize everything they did and watch it all happen live in one workspace Try it out now with /write-paper on OpenResearch:

Transform a research idea into a paper end-to-end Turn Claude Code or Codex into research agents that can build an experiment tree + write LaTex to summarize everything they did and watch it all happen live in one workspace Try it out now with /write-paper on OpenResearch:

alphaXiv

51,122 次观看 • 1 个月前

Claude Code feels completely different once you install this. Anthropic quietly released an official plugin called claude-code-setup and it basically turns Claude Code from “pretty good” into an actual AI dev environment. It scans your project and recommends: → hooks → skills → MCP servers → subagents → automations Then sets everything up step-by-step for you. Most people are using Claude Code completely vanilla… which is why their experience feels messy. The real power comes from the ecosystem around it. Install: /plugin install claude-code-setup@claude-plugins-official Bookmark this before you forget it.

Claude Code feels completely different once you install this. Anthropic quietly released an official plugin called claude-code-setup and it basically turns Claude Code from “pretty good” into an actual AI dev environment. It scans your project and recommends: → hooks → skills → MCP servers → subagents → automations Then sets everything up step-by-step for you. Most people are using Claude Code completely vanilla… which is why their experience feels messy. The real power comes from the ecosystem around it. Install: /plugin install claude-code-setup@claude-plugins-official Bookmark this before you forget it.

Suryansh Tiwari

1,551,606 次观看 • 4 个月前

Claude is now available in public preview in Microsoft Foundry. Microsoft Azure customers can now use Claude Sonnet 4.5, Haiku 4.5, and Opus 4.1 to build applications and enterprise agents, and to power Claude Code.

Claude is now available in public preview in Microsoft Foundry. Microsoft Azure customers can now use Claude Sonnet 4.5, Haiku 4.5, and Opus 4.1 to build applications and enterprise agents, and to power Claude Code.

Claude

147,137 次观看 • 10 个月前

I had to write the same Claude Code prompt 40 times in one month. Good news! Anthropic already made them. The official Claude Code prompts are sorted by task and role in the documentation and are ready to be copied and pasted. These prompts were drawn from what our teams use on a daily basis while working with Claude Code. Examples of the types of tasks these prompts cover include: * Planning * Debugging * Code review * Security * Automation Even better, each prompt describes why it works and what you're trying to achieve. This helps you learn what makes a good prompt, and eventually craft your own versions. The prompts are completely free, and we have the link below ⬇️

I had to write the same Claude Code prompt 40 times in one month. Good news! Anthropic already made them. The official Claude Code prompts are sorted by task and role in the documentation and are ready to be copied and pasted. These prompts were drawn from what our teams use on a daily basis while working with Claude Code. Examples of the types of tasks these prompts cover include: * Planning * Debugging * Code review * Security * Automation Even better, each prompt describes why it works and what you're trying to achieve. This helps you learn what makes a good prompt, and eventually craft your own versions. The prompts are completely free, and we have the link below ⬇️

Charlie Hills

17,461 次观看 • 1 个月前

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

223,236 次观看 • 6 个月前

🚨Breaking: Ox Alpha is GLM 5.3 Flash by Z.ai! It's already available in Kilo, so we put it to the test. We gave the same prompt to both GLM 5.3 Flash and Gemini 3.7 Flash: Build a spectral audio visualizer. Costs: GLM 5.3 Flash: $0.01 Gemini 3.7 Flash: $0.17 17x cheaper for GLM 5.3 Flash. Who won on one-shot results?

🚨Breaking: Ox Alpha is GLM 5.3 Flash by Z.ai! It's already available in Kilo, so we put it to the test. We gave the same prompt to both GLM 5.3 Flash and Gemini 3.7 Flash: Build a spectral audio visualizer. Costs: GLM 5.3 Flash: $0.01 Gemini 3.7 Flash: $0.17 17x cheaper for GLM 5.3 Flash. Who won on one-shot results?

Kilo (acq. by Anaconda)

21,683 次观看 • 1 个月前

Today, AI can generate tons of code—but how do we know if it's good? That's why we built Sculptor: the first coding agent environment. Sculptor helps you catch issues, write tests, and improve your code—all while you work in your favorite editor.

Today, AI can generate tons of code—but how do we know if it's good? That's why we built Sculptor: the first coding agent environment. Sculptor helps you catch issues, write tests, and improve your code—all while you work in your favorite editor.

Kanjun 🐙

137,491 次观看 • 1 年前

What an absolute time to be alive, multi project agentic coding. We are orchestration machines now. We review code, and make sure its good. We ship faster than we ever could before. We are techno vampires

What an absolute time to be alive, multi project agentic coding. We are orchestration machines now. We review code, and make sure its good. We ship faster than we ever could before. We are techno vampires

Steven (っ♡◡♡)っ

21,346 次观看 • 4 个月前

Users can explore how different AI agents analyze the same market task and compare their outputs through the platform. It is a product experience built around agent performance, task execution, and real usage. AI agents are becoming measurable digital workers.

Users can explore how different AI agents analyze the same market task and compare their outputs through the platform. It is a product experience built around agent performance, task execution, and real usage. AI agents are becoming measurable digital workers.

OKAI Official

10,762 次观看 • 4 个月前

AURK now integrates Google AI Studio models. Build, deploy, and run Google-powered AI agents directly inside AURK using drag and drop workflows. No code to write. No infra to manage. Agents deploy and run continuously.

AURK now integrates Google AI Studio models. Build, deploy, and run Google-powered AI agents directly inside AURK using drag and drop workflows. No code to write. No infra to manage. Agents deploy and run continuously.

AURK AI

14,112 次观看 • 8 个月前

Developers are so cooked this AI tool can now build agentic AI apps like Cursor, Perplexity, and Gamma.. full coding agents, research agents, presentation builders is the world's first vibe coding platform that let's you build agentic AI apps. 4 insane examples:

Developers are so cooked this AI tool can now build agentic AI apps like Cursor, Perplexity, and Gamma.. full coding agents, research agents, presentation builders is the world's first vibe coding platform that let's you build agentic AI apps. 4 insane examples:

Robin Delta

15,218 次观看 • 8 个月前

We put grok 4.5 and opus 4.8 head to head on the same browser task, on Hyperbrowser Sandboxes. We then asked it to open a page in a real sandboxed browser and pull the title. Grok build on Grok 4.5, Claude code on Opus 4.8, identical setup. Grok 4.5 came out ahead ↓

We put grok 4.5 and opus 4.8 head to head on the same browser task, on Hyperbrowser Sandboxes. We then asked it to open a page in a real sandboxed browser and pull the title. Grok build on Grok 4.5, Claude code on Opus 4.8, identical setup. Grok 4.5 came out ahead ↓

Hyperbrowser

406,488 次观看 • 3 个月前

Those building AI coding agents will eventually hit the same wall: No matter how smart the model is, the moment you ask it to write production-ready code with the latest libraries, it starts hallucinating. Everyone is building coding agents these days, but most of them run into the same issue: They're coding with outdated documentation. The root cause isn't the model. It's the retrieval layer. If you are building an AI agent that needs information from specific domains such as code, law, academia, and finance Sign up, connect it to your agent, and you'll see the difference immediately.

Those building AI coding agents will eventually hit the same wall: No matter how smart the model is, the moment you ask it to write production-ready code with the latest libraries, it starts hallucinating. Everyone is building coding agents these days, but most of them run into the same issue: They're coding with outdated documentation. The root cause isn't the model. It's the retrieval layer. If you are building an AI agent that needs information from specific domains such as code, law, academia, and finance Sign up, connect it to your agent, and you'll see the difference immediately.

Jafar Najafov

19,873 次观看 • 2 个月前

We shipped Claude Code as a research preview a year ago today. Developers have used it to build weekend projects, ship production apps, write code at the world's largest companies, and help plan a Mars rover drive. We built it, and you showed us what it was for.

We shipped Claude Code as a research preview a year ago today. Developers have used it to build weekend projects, ship production apps, write code at the world's largest companies, and help plan a Mars rover drive. We built it, and you showed us what it was for.

Boris Cherny

340,163 次观看 • 7 个月前