Загрузка видео...

Не удалось загрузить видео

На главную

New project: a coding and formal verification agent for computational physics and applied mathematics. Auto-generate type-correct DSL code for equations and numerical schemes, autoformalize correctness properties in Lean/Isabelle/Rocq, then compile down to provably-correct C code

getjonwithit's profile picture

Jonathan Gorard

46,090 subscribers

48,693 просмотров • 12 дней назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

“Math is code. And code is math.” Carina Hong CEO Axiom on why that idea matters for AI: “For centuries, mathematicians reasoned in natural language. But because of the Curry–Howard correspondence, a proof can also be a program.” “You can translate natural-language math into formal code using systems like Lean. Lean is both a theorem-proving language and a programming language.” “That means you can generate solutions as code and then formally verify them. You can even use the same system to verify programs themselves.” “This creates a flywheel of generation and verification, where AI can both write solutions and prove that they’re correct.”
2:25

“Math is code. And code is math.” Carina Hong CEO Axiom on why that idea matters for AI: “For centuries, mathematicians reasoned in natural language. But because of the Curry–Howard correspondence, a proof can also be a program.” “You can translate natural-language math into formal code using systems like Lean. Lean is both a theorem-proving language and a programming language.” “That means you can generate solutions as code and then formally verify them. You can even use the same system to verify programs themselves.” “This creates a flywheel of generation and verification, where AI can both write solutions and prove that they’re correct.”

Forward Future

23,748 просмотров • 3 месяцев назад

I built a multimodal AI Coding Agent team with multi-agents. It has 3 AI agents working together as a team to generate and execute the code: 1. Coding Agent using o-3 mini 2. Vision Agent using Gemini 3. Code Execution Agent using o-3 mini and E2B 100% Opensource Code.
1:36

I built a multimodal AI Coding Agent team with multi-agents. It has 3 AI agents working together as a team to generate and execute the code: 1. Coding Agent using o-3 mini 2. Vision Agent using Gemini 3. Code Execution Agent using o-3 mini and E2B 100% Opensource Code.

Shubham Saboo

42,261 просмотров • 1 год назад

SHIPPED. Mistral Vibe is now the AI agent for long-horizon productivity and coding, and the home for Work mode, Code mode, the CLI, and a brand new VS Code extension. Let's go... 🧵
1:59

SHIPPED. Mistral Vibe is now the AI agent for long-horizon productivity and coding, and the home for Work mode, Code mode, the CLI, and a brand new VS Code extension. Let's go... 🧵

Mistral Vibe

88,210 просмотров • 9 дней назад

Claude Code tip: create an agent that specialises in code review and security. Then add a new memory entry with a nickname for it so you can call it anytime. My code review and security agent is called Big Tony.
0:25

Claude Code tip: create an agent that specialises in code review and security. Then add a new memory entry with a nickname for it so you can call it anytime. My code review and security agent is called Big Tony.

Richie - oss/acc

134,422 просмотров • 5 месяцев назад

Claude Code documentation agent keeps project docs up to date with Docusaurus. Created a Docusaurus site: npx create-docusaurus@latest my-docs classic Added the agent: npx claude-code-templates@latest --agent=documentation/docusaurus-expert --yes Then prompt: "Use docusaurus-expert to review that the documentation is correct and up-to-date" Now the docs stay synced with code changes. That’s how I set up as shown in the video.
0:40

Claude Code documentation agent keeps project docs up to date with Docusaurus. Created a Docusaurus site: npx create-docusaurus@latest my-docs classic Added the agent: npx claude-code-templates@latest --agent=documentation/docusaurus-expert --yes Then prompt: "Use docusaurus-expert to review that the documentation is correct and up-to-date" Now the docs stay synced with code changes. That’s how I set up as shown in the video.

Daniel San

68,498 просмотров • 8 месяцев назад

Your code, your rules. Gemini in Android Studio is here to help 🤝 Set up your coding style and tech stack using Rules in the Prompt Library, and watch Gemini adapt to generate code that fits your project →
0:22

Your code, your rules. Gemini in Android Studio is here to help 🤝 Set up your coding style and tech stack using Rules in the Prompt Library, and watch Gemini adapt to generate code that fits your project →

Android Developers

11,723 просмотров • 8 месяцев назад

🧠 Want to give your coding agent new capabilities? Use Agent Skills in Visual Studio Code! Agent skills let you package instructions and resources into reusable capabilities for your agent. Skills can be loaded on demand and called directly from chat using slash commands like /skill-name. Learn more:
0:26

🧠 Want to give your coding agent new capabilities? Use Agent Skills in Visual Studio Code! Agent skills let you package instructions and resources into reusable capabilities for your agent. Skills can be loaded on demand and called directly from chat using slash commands like /skill-name. Learn more:

Visual Studio Code

55,070 просмотров • 2 месяцев назад

How do you actually formally verify the code underpinning Ethereum's future? In this episode (the finale of the lean Ethereum miniseries), Nico sits down with Alex Hicks (Alexander Hicks), lead of Protocol Snarkification at the Ethereum Foundation, to break down formal verification from first principles. They cover: – What formal verification actually is and the trust boundaries between proof assistants, SMT solvers, and kernels – The full verification stack for RISC-V ZKVMs: from SAIL specs to constraint extraction to soundness proofs – Why writing constraints directly in Lean makes proofs 10–100x more ergonomic – How AI is now proving hard theorems in hours for $200 — and what that unlocks for the whole pipeline They also explore the boundaries problem, why specs can have bugs too, and the end goal of a full Lean stack that bypasses Rust and LLVM entirely. Listen to the full episode ------------------------------------------------------------ TIMECODES: 09:16 – What is formal verification? Proof assistants vs SMT solvers 18:33 – Formal verification of code: specs, semantics, and trust boundaries 29:30 – Formally verifying the Lean Ethereum stack: RISC-V ZKVMs in focus 33:02 – Extracting ZKVM constraints into Lean and proving soundness 36:35 – Writing constraints directly in Lean: 10–100x better proof ergonomics 44:02 – Proving Polishchuk–Spielman in 8 hours for $200 with AI 51:01 – The end goal: a full Lean stack bypassing Rust and LLVM
56:07

How do you actually formally verify the code underpinning Ethereum's future? In this episode (the finale of the lean Ethereum miniseries), Nico sits down with Alex Hicks (Alexander Hicks), lead of Protocol Snarkification at the Ethereum Foundation, to break down formal verification from first principles. They cover: – What formal verification actually is and the trust boundaries between proof assistants, SMT solvers, and kernels – The full verification stack for RISC-V ZKVMs: from SAIL specs to constraint extraction to soundness proofs – Why writing constraints directly in Lean makes proofs 10–100x more ergonomic – How AI is now proving hard theorems in hours for $200 — and what that unlocks for the whole pipeline They also explore the boundaries problem, why specs can have bugs too, and the end goal of a full Lean stack that bypasses Rust and LLVM entirely. Listen to the full episode ------------------------------------------------------------ TIMECODES: 09:16 – What is formal verification? Proof assistants vs SMT solvers 18:33 – Formal verification of code: specs, semantics, and trust boundaries 29:30 – Formally verifying the Lean Ethereum stack: RISC-V ZKVMs in focus 33:02 – Extracting ZKVM constraints into Lean and proving soundness 36:35 – Writing constraints directly in Lean: 10–100x better proof ergonomics 44:02 – Proving Polishchuk–Spielman in 8 hours for $200 with AI 51:01 – The end goal: a full Lean stack bypassing Rust and LLVM

Zero Knowledge Podcast

14,996 просмотров • 2 месяцев назад

AI Coding Agent for Hardware Optimized Code Diana AI hardware is still constrained by software. However, with reasoning models like Deepseek R1 or OpenAI o1 and o3, AI could generate hardware-optimized code that rivals—or surpasses—human CUDA code.
1:01

AI Coding Agent for Hardware Optimized Code Diana AI hardware is still constrained by software. However, with reasoning models like Deepseek R1 or OpenAI o1 and o3, AI could generate hardware-optimized code that rivals—or surpasses—human CUDA code.

Y Combinator

60,089 просмотров • 1 год назад

Warp Code launched yesterday — here’s what’s new: - Top coding agent: #3 SWE-bench, 52% Terminal-Bench - Built-in code review - Native editor - Slash Commands, Project Rules, and more We’re already seeing millions more lines of code shipped through Warp.
2:57

Warp Code launched yesterday — here’s what’s new: - Top coding agent: #3 SWE-bench, 52% Terminal-Bench - Built-in code review - Native editor - Slash Commands, Project Rules, and more We’re already seeing millions more lines of code shipped through Warp.

Warp

11,745 просмотров • 9 месяцев назад

AI-powered coding, built for developers. 💡 Gemini Code Assist for individuals now brings: ⚡ Up to 180K code completions/month 🤖 AI-powered code reviews for GitHub 🛠️ Coding assistance in VS Code and JetBrains IDEs Start building →
0:31

AI-powered coding, built for developers. 💡 Gemini Code Assist for individuals now brings: ⚡ Up to 180K code completions/month 🤖 AI-powered code reviews for GitHub 🛠️ Coding assistance in VS Code and JetBrains IDEs Start building →

Google for Developers

40,025 просмотров • 1 год назад

Now in VS Code stable: Agent Skills, the open standard created by Anthropic. These folders of instructions, scripts, and resources can be loaded to perform specialized tasks, allowing you to teach the coding agent new capabilities and provide domain-specific knowledge.
1:28

Now in VS Code stable: Agent Skills, the open standard created by Anthropic. These folders of instructions, scripts, and resources can be loaded to perform specialized tasks, allowing you to teach the coding agent new capabilities and provide domain-specific knowledge.

Visual Studio Code

116,296 просмотров • 4 месяцев назад

OpenAI Codex is now integrated directly in Visual Studio Code through the new Agent Sessions view - and can be powered by your GitHub Copilot subscription. Try it out now with VS Code Insiders and a Copilot Pro+ subscription. Happy coding!
0:32

OpenAI Codex is now integrated directly in Visual Studio Code through the new Agent Sessions view - and can be powered by your GitHub Copilot subscription. Try it out now with VS Code Insiders and a Copilot Pro+ subscription. Happy coding!

Visual Studio Code

334,902 просмотров • 7 месяцев назад

We've built a massive verification bottleneck: • 72% of developers use AI to generate code every day • 96% of them don't fully trust it Writing code is now free. All the work now is verifying that the code does what it's supposed to. According to a new State of Code Survey, almost half of the respondents believe the number one skill that will matter most in the coming years is "reviewing and validating AI-generated code for quality and security". Not prompt engineering or vibe-coding, but checking AI's work.
3:44

We've built a massive verification bottleneck: • 72% of developers use AI to generate code every day • 96% of them don't fully trust it Writing code is now free. All the work now is verifying that the code does what it's supposed to. According to a new State of Code Survey, almost half of the respondents believe the number one skill that will matter most in the coming years is "reviewing and validating AI-generated code for quality and security". Not prompt engineering or vibe-coding, but checking AI's work.

Santiago

16,299 просмотров • 4 месяцев назад

Experience UI development at the speed of AI in Android Studio, available in the Otter 3 Feature Drop → Type commands like "make buttons blue" and let Agent Mode generate and validate the Compose code for you.
0:33

Experience UI development at the speed of AI in Android Studio, available in the Otter 3 Feature Drop → Type commands like "make buttons blue" and let Agent Mode generate and validate the Compose code for you.

Android Studio

10,688 просмотров • 4 месяцев назад

Introducing Claude Code for research. Listen’s Research Agent lets you analyze data, quantify insights, and generate research deliverables all in Listen, much like how developers use Claude Code.
0:55

Introducing Claude Code for research. Listen’s Research Agent lets you analyze data, quantify insights, and generate research deliverables all in Listen, much like how developers use Claude Code.

Alfred Wahlforss

645,047 просмотров • 3 месяцев назад

But he applied correct physics this time 🤕
0:39

But he applied correct physics this time 🤕

Cartoon Non Stop

28,558 просмотров • 5 месяцев назад

I built an agent for researching, coding, and running generative art animations for 16-segment displays. Will open source code and hardware design files soon.
0:29

I built an agent for researching, coding, and running generative art animations for 16-segment displays. Will open source code and hardware design files soon.

Kath Korevec

121,237 просмотров • 3 месяцев назад

8 rules to improve your AI coding agent. All of these rules work with Claude Code, Cursor, VS Code, and with most programming languages. Automating these rules will 10x the code quality and security produced by your AI coding agents. 1. Dependency checks - Prevent your agent from suggesting insecure libraries based on outdated training data. 2. Secret exposure - Auto-fix the use of hardcoded credentials introduced by your coding agent. 3. File and function size - Automatically refactor any files or functions that exceed a reasonable length. 4. Complexity and parameter limits - Simplify overly complex code written by the agent. 5. SQL Injection - Auto-fix all database interactions with unsanitized user input. 6. Unused variables and imports - Detect and remove dead code. 7. Detect invisible unicode characters in AI rules files - Remove zero-width spaces, direction overrides, and other invisible characters that can hide malicious behavior. 8. Insecure OpenAI API usage - Enforce use of secure OpenAI endpoints, proper authentication, and context isolation Here is how you can automate this: Install the Codacy extension. This will give you access to a CLI for local scanning and an MCP server for agent communication. From here on out, every time you need to generate some code: 1. Your agent will write the code 2. It will then call Codacy's CLI to check it 3. It will find any issues in real time 4. Your coding agent will fix the issues 5. When the code passes all checks, you are done Level of effort on your side: literally zero! Code quality and security because of this: 100x better! Here is the link to download the extension for your IDE: Thanks to the Codacy team for collaborating with me on this post.
3:50

8 rules to improve your AI coding agent. All of these rules work with Claude Code, Cursor, VS Code, and with most programming languages. Automating these rules will 10x the code quality and security produced by your AI coding agents. 1. Dependency checks - Prevent your agent from suggesting insecure libraries based on outdated training data. 2. Secret exposure - Auto-fix the use of hardcoded credentials introduced by your coding agent. 3. File and function size - Automatically refactor any files or functions that exceed a reasonable length. 4. Complexity and parameter limits - Simplify overly complex code written by the agent. 5. SQL Injection - Auto-fix all database interactions with unsanitized user input. 6. Unused variables and imports - Detect and remove dead code. 7. Detect invisible unicode characters in AI rules files - Remove zero-width spaces, direction overrides, and other invisible characters that can hide malicious behavior. 8. Insecure OpenAI API usage - Enforce use of secure OpenAI endpoints, proper authentication, and context isolation Here is how you can automate this: Install the Codacy extension. This will give you access to a CLI for local scanning and an MCP server for agent communication. From here on out, every time you need to generate some code: 1. Your agent will write the code 2. It will then call Codacy's CLI to check it 3. It will find any issues in real time 4. Your coding agent will fix the issues 5. When the code passes all checks, you are done Level of effort on your side: literally zero! Code quality and security because of this: 100x better! Here is the link to download the extension for your IDE: Thanks to the Codacy team for collaborating with me on this post.

Santiago

48,469 просмотров • 7 месяцев назад