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。

Codiff 0.1 is out * Fast Local Code Reviews * Optional LLM Walkthroughs * Inline Review Comments This is the best companion for reviewing output of coding agents. macOS Release:

Christoph Nakazawa

33,875 subscribers

77,966 次观看 • 19 天前 •via X (Twitter)

教育科学技术

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

Code reviews are changing forever! CodeRabbit's AI-powered platform is revolutionising how we do code reviews. Imagine a team of seasoned experts in the form of AI agents reviewing every PR that is made. 100% FREE for open-source projects.

Code reviews are changing forever! CodeRabbit's AI-powered platform is revolutionising how we do code reviews. Imagine a team of seasoned experts in the form of AI agents reviewing every PR that is made. 100% FREE for open-source projects.

Akshay 🚀

33,421 次观看 • 1 年前

I’ve been working on dunk. It’s a terminal diff reviewer where you mark issues inline, then let a coding agent fix them. It started as a fork of hunk, but I stripped it down to the loop I need: review → my comments → agent fixes I’m spending time reviewing code and leaving comments for agents rather than writing code myself. But in most tools, that feedback loop still feels broken. dunk is a simple way to make it work across Claude Code, Codex, Pi, etc.

I’ve been working on dunk. It’s a terminal diff reviewer where you mark issues inline, then let a coding agent fix them. It started as a fork of hunk, but I stripped it down to the loop I need: review → my comments → agent fixes I’m spending time reviewing code and leaving comments for agents rather than writing code myself. But in most tools, that feedback loop still feels broken. dunk is a simple way to make it work across Claude Code, Codex, Pi, etc.

Amir Salihefendić

13,051 次观看 • 25 天前

🪐 Cantina Code Demo Release 🪐 A new era for security reviews is starting. We will continue to roll out updates and features to make this the best code review experience across any industry. Available to all Cantina researchers to explore below👇

🪐 Cantina Code Demo Release 🪐 A new era for security reviews is starting. We will continue to roll out updates and features to make this the best code review experience across any industry. Available to all Cantina researchers to explore below👇

Cantina 🪐

26,541 次观看 • 2 年前

Python Coding challenge - Day 34 | What is the output of the following Python code? Solutions -

Python Coding challenge - Day 34 | What is the output of the following Python code? Solutions -

Python Coding

25,308 次观看 • 2 年前

Anthropic Boris Cherny says the role of programmers is shifting from writing code to orchestrating agents "it's more about reviewing code than writing code" complex tasks still require manual coding, but those windows are shrinking. eventually, managing agents will become the core of programming

Anthropic Boris Cherny says the role of programmers is shifting from writing code to orchestrating agents "it's more about reviewing code than writing code" complex tasks still require manual coding, but those windows are shrinking. eventually, managing agents will become the core of programming

Haider.

137,886 次观看 • 1 年前

Announcing Linear Reviews. A modern code review experience for humans and agents. Join the waitlist for early access:

Announcing Linear Reviews. A modern code review experience for humans and agents. Join the waitlist for early access:

Linear

409,013 次观看 • 4 个月前

Grok Build is coming. Not autocomplete… a full coding agent. You describe it. Grok plans, codes, and debugs. Up to 8 agents run in parallel. Apps, sites, full repos. Built from plain English. Arena Mode picks the best output. The local CLI keeps your code private. This isn’t “help me code.” It just builds. xAI Grok

Grok Build is coming. Not autocomplete… a full coding agent. You describe it. Grok plans, codes, and debugs. Up to 8 agents run in parallel. Apps, sites, full repos. Built from plain English. Arena Mode picks the best output. The local CLI keeps your code private. This isn’t “help me code.” It just builds. xAI Grok

Mario Nawfal

193,387 次观看 • 28 天前

The bottleneck in coding is now the time it takes a human to review agent-generated code. But existing review UIs don't work well for agents. So we built a new one into Amp.

The bottleneck in coding is now the time it takes a human to review agent-generated code. But existing review UIs don't work well for agents. So we built a new one into Amp.

Beyang

62,900 次观看 • 7 个月前

📢Excited to release GoEx⚡️a runtime for LLM-generated actions like code, API calls, and more. Featuring "post-facto validation" for assessing LLM actions after execution 🔍 Key to our approach is "undo" 🔄 and "damage confinement" abstractions to manage unintended actions & risks. This paves the way for fully autonomous LLM agents, enhancing interaction between apps & services with human-out-of-loop🚀 Blog: Code: Paper:

📢Excited to release GoEx⚡️a runtime for LLM-generated actions like code, API calls, and more. Featuring "post-facto validation" for assessing LLM actions after execution 🔍 Key to our approach is "undo" 🔄 and "damage confinement" abstractions to manage unintended actions & risks. This paves the way for fully autonomous LLM agents, enhancing interaction between apps & services with human-out-of-loop🚀 Blog: Code: Paper:

Shishir Patil

57,977 次观看 • 2 年前

And we're live!! Still think Sonnet 3.7 is the best model at writing and reviewing code? Try yourself - Contribute to the first human leaderboard for code review - We'll crown the first model to get to 1000 wins as the best PR review model 🏆

And we're live!! Still think Sonnet 3.7 is the best model at writing and reviewing code? Try yourself - Contribute to the first human leaderboard for code review - We'll crown the first model to get to 1000 wins as the best PR review model 🏆

Aiswarya Sankar

32,142 次观看 • 1 年前

Anthropic’s Boris Cherny argues that for certain modern, model-friendly codebases, especially TypeScript/React projects, coding is already effectively "solved". AI agents can write nearly 100% of the code, while humans shift from hand-coding to directing, reviewing, integrating, and scaling many small PRs at once.

Anthropic’s Boris Cherny argues that for certain modern, model-friendly codebases, especially TypeScript/React projects, coding is already effectively "solved". AI agents can write nearly 100% of the code, while humans shift from hand-coding to directing, reviewing, integrating, and scaling many small PRs at once.

Chubby♨️

32,117 次观看 • 1 个月前

What is the best LLM for agentic software engineering? Today, we're releasing The OpenHands Index to answer this question. It's the first broad-coverage benchmark for AI coding agents, comparing them on accuracy, cost, and runtime across 5 task domains.

What is the best LLM for agentic software engineering? Today, we're releasing The OpenHands Index to answer this question. It's the first broad-coverage benchmark for AI coding agents, comparing them on accuracy, cost, and runtime across 5 task domains.

OpenHands

31,591 次观看 • 4 个月前

Codiff: A beautiful, extremely fast local diff viewer I review SO MUCH code locally these days. I asked Codex to build it using and Thanks amadeus and Jacob. Amazing software. It took 16 minutes to build this. It's amazing.

Codiff: A beautiful, extremely fast local diff viewer I review SO MUCH code locally these days. I asked Codex to build it using and Thanks amadeus and Jacob. Amazing software. It took 16 minutes to build this. It's amazing.

Christoph Nakazawa

61,616 次观看 • 21 天前

Temporal CEO Samar Birwadker says GitHub was designed for humans, but is now at the mercy of agents. "Agents are starting to get more and more long-lived, more asynchronous, and more mission-critical." "For example, if you pick coding agents alone, is something like GitHub was designed for humans collaborate and create [pull requests] right now." "Now a lot of code is being generated by these agents, and they're the ones creating these PRs essentially, and even code review process is being automated by other agents." "So now this entire system backend, which is being built for human consumption, is now at the mercy of these agents kind of using it for their own coordination and collaboration."

Temporal CEO Samar Birwadker says GitHub was designed for humans, but is now at the mercy of agents. "Agents are starting to get more and more long-lived, more asynchronous, and more mission-critical." "For example, if you pick coding agents alone, is something like GitHub was designed for humans collaborate and create [pull requests] right now." "Now a lot of code is being generated by these agents, and they're the ones creating these PRs essentially, and even code review process is being automated by other agents." "So now this entire system backend, which is being built for human consumption, is now at the mercy of these agents kind of using it for their own coordination and collaboration."

MTS

26,902 次观看 • 27 天前

How are coding agents changing software engineering? Yapped for 15 minutes about new Cursor data we published, including: 1. Why lines of code is an imperfect measure of AI progress 2. Balancing intelligence/cost/speed for models 3. Code reviews with "Mega PRs" (1000+ lines)

How are coding agents changing software engineering? Yapped for 15 minutes about new Cursor data we published, including: 1. Why lines of code is an imperfect measure of AI progress 2. Balancing intelligence/cost/speed for models 3. Code reviews with "Mega PRs" (1000+ lines)

Lee Robinson

55,688 次观看 • 7 天前

100% Grok coding It might depend on the language, but I got the impression that the code output volume at once is the richest✍️ The coding itself, along with its input materials and output destinations, all feel like they're part of Elon Musk 's evolving circular activities. The full code is posted in the reply⬇️

100% Grok coding It might depend on the language, but I got the impression that the code output volume at once is the richest✍️ The coding itself, along with its input materials and output destinations, all feel like they're part of Elon Musk 's evolving circular activities. The full code is posted in the reply⬇️

Yohei Nishitsuji

52,249 次观看 • 9 个月前

AI code reviews are promising, BUT they're hard to control and currently all closed source. That's why we built GPTLint: It's an automated code review tool powered by both ASTs and LLMs – the best part is it's a 100% OSS standard that works w/ any LLM 🔥

AI code reviews are promising, BUT they're hard to control and currently all closed source. That's why we built GPTLint: It's an automated code review tool powered by both ASTs and LLMs – the best part is it's a 100% OSS standard that works w/ any LLM 🔥

Travis Fischer

37,332 次观看 • 2 年前

🚨Gemini 3.0 Pro - ECP. one shot in 2 Min Holy Shit Guys Gemini made GAMEBOY with original games This is literally my favourite the level of detail is beyond any LLM till date , this is the best output i have ever seen Prompt and code pen link in thread

🚨Gemini 3.0 Pro - ECP. one shot in 2 Min Holy Shit Guys Gemini made GAMEBOY with original games This is literally my favourite the level of detail is beyond any LLM till date , this is the best output i have ever seen Prompt and code pen link in thread

Chetaslua

63,440 次观看 • 7 个月前

Meet Superconductor. A native macOS app for agentic engineering, built to go fast. No Electron. No Tauri. 100% Rust. Manage all of your coding agents without friction. We're in Alpha:

Meet Superconductor. A native macOS app for agentic engineering, built to go fast. No Electron. No Tauri. 100% Rust. Manage all of your coding agents without friction. We're in Alpha:

super.engineering

401,362 次观看 • 1 个月前

Introducing canvas—your coding surface in ChatGPT. ✏️ Edit code inline 🐛 Review code and fix bugs 💬 Add logs and comments 🚢 Port to different languages We’ll be adding more to canvas over time. ChatGPT Plus and Team users can try the beta starting today.

Introducing canvas—your coding surface in ChatGPT. ✏️ Edit code inline 🐛 Review code and fix bugs 💬 Add logs and comments 🚢 Port to different languages We’ll be adding more to canvas over time. ChatGPT Plus and Team users can try the beta starting today.

OpenAI Developers

934,392 次观看 • 1 年前