Загрузка видео...

Не удалось загрузить видео

На главную

why Mario Zechner built an opinionated ai coding agent - the pi agent father pod

waghnakh_21's profile picture

Mayank Gupta🧑🏻‍💻

7,517 subscribers

30,578 просмотров • 6 месяцев 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

people of pi, share it with people that don't yet know about the amazing agent pi - thanks to Mario Zechner
13:31

people of pi, share it with people that don't yet know about the amazing agent pi - thanks to Mario Zechner

Etisha Garg

24,287 просмотров • 5 месяцев назад

1. Augment Agent is the first AI coding assistant designed for professional software engineers working with large codebases. I built an Amazon clone using Augment Agent in just a few minutes.
0:36

1. Augment Agent is the first AI coding assistant designed for professional software engineers working with large codebases. I built an Amazon clone using Augment Agent in just a few minutes.

Poonam Soni

60,089 просмотров • 1 год назад

🎙️ State of Agentic Coding with Armin Ronacher ⇌ and Ben returns In this episode: - how Armin teamed up w/ Mario Zechner on Pi - the end of subsidized tokens? - why coding traces are valuable - GitHub, what might come next, and more!
1:38:22

🎙️ State of Agentic Coding with Armin Ronacher ⇌ and Ben returns In this episode: - how Armin teamed up w/ Mario Zechner on Pi - the end of subsidized tokens? - why coding traces are valuable - GitHub, what might come next, and more!

Ben Vinegar

96,999 просмотров • 4 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

42,281 просмотров • 1 год назад

pi-web-access is an extension that provides web search (and more) for Pi coding agent. The latest update introduces a new UX pattern: you can hit `Ctrl+S` to intercept agent searches mid-flight to inspect and curate exactly what makes it into the agent conversation. pi install npm:pi-web-access
0:34

pi-web-access is an extension that provides web search (and more) for Pi coding agent. The latest update introduces a new UX pattern: you can hit `Ctrl+S` to intercept agent searches mid-flight to inspect and curate exactly what makes it into the agent conversation. pi install npm:pi-web-access

Nico Bailon

29,352 просмотров • 7 месяцев назад

People of pi. Welcome to the meta coding agent harness 0.50.0. npm install -g @mariozechner/pi-coding-agent - Bundle your extensions, skills, prompt templates, and skills as pi packages, distribute via NPM or git - Hot-reload everything via /reload A 🧵 of possibilities (1/x)
0:25

People of pi. Welcome to the meta coding agent harness 0.50.0. npm install -g @mariozechner/pi-coding-agent - Bundle your extensions, skills, prompt templates, and skills as pi packages, distribute via NPM or git - Hot-reload everything via /reload A 🧵 of possibilities (1/x)

Mario Zechner

36,105 просмотров • 8 месяцев назад

i tested a fully local ai coding setup: gemma4 from Google DeepMind running through LM Studio, paired with pi which is a minimal open source coding harness this is part 1 of a two part series. here we cover the why and the complete hands-on setup 0:00 - Running a coding agent fully local 0:47 - Why Pi as the coding agent harness 1:39 - Why Gemma 4 and which variant to pick 2:44 - Architecture: Pi, LM Studio and Gemma 4 3:45 - LM Studio setup and model download 5:01 - Starting the local server 5:19 - API sanity check with curl 6:08 - Installing the Pi coding agent 6:20 - Configuring models.json for local models 8:20 - First run: selecting the model in Pi 8:58 - Fixing the context length error 10:16 - Testing the working setup 10:50 - What is coming in Part 2
11:32

i tested a fully local ai coding setup: gemma4 from Google DeepMind running through LM Studio, paired with pi which is a minimal open source coding harness this is part 1 of a two part series. here we cover the why and the complete hands-on setup 0:00 - Running a coding agent fully local 0:47 - Why Pi as the coding agent harness 1:39 - Why Gemma 4 and which variant to pick 2:44 - Architecture: Pi, LM Studio and Gemma 4 3:45 - LM Studio setup and model download 5:01 - Starting the local server 5:19 - API sanity check with curl 6:08 - Installing the Pi coding agent 6:20 - Configuring models.json for local models 8:20 - First run: selecting the model in Pi 8:58 - Fixing the context length error 10:16 - Testing the working setup 10:50 - What is coming in Part 2

Nidhi Singh

16,289 просмотров • 3 месяцев назад

Shopify CEO Tobi Lütke called Pi "the most interesting agent harness" - a tiny, open-source framework built by a single developer that powers OpenClaw and is changing how builders think about AI agents. In this clip, Dave Killeen (Field CPO at Pendo) breaks down why Pi matters, how it compares to Manus, and why the real magic in AI isn't the language model itself - it's the orchestration layer around it. Pi is a lightweight agent harness that lets developers build smarter AI experiences by leveraging models like Claude, GPT, and Gemini through better orchestration, not bigger models. If you're building AI products, coding agents, or exploring the new world of harness engineering, this is essential context. We discuss why Manus gave users a far better experience than talking directly to an LLM, and why open-source tools like Pi could be the future of agent development.
0:47

Shopify CEO Tobi Lütke called Pi "the most interesting agent harness" - a tiny, open-source framework built by a single developer that powers OpenClaw and is changing how builders think about AI agents. In this clip, Dave Killeen (Field CPO at Pendo) breaks down why Pi matters, how it compares to Manus, and why the real magic in AI isn't the language model itself - it's the orchestration layer around it. Pi is a lightweight agent harness that lets developers build smarter AI experiences by leveraging models like Claude, GPT, and Gemini through better orchestration, not bigger models. If you're building AI products, coding agents, or exploring the new world of harness engineering, this is essential context. We discuss why Manus gave users a far better experience than talking directly to an LLM, and why open-source tools like Pi could be the future of agent development.

Aakash Gupta

10,774 просмотров • 14 дней назад

I built an AI agent to receive my parcel deliveries. I had to act act like a delivery guy to test the AI agent. It worked.
1:35

I built an AI agent to receive my parcel deliveries. I had to act act like a delivery guy to test the AI agent. It worked.

Pooja

159,958 просмотров • 1 год назад

Claude Code is the best coding agent on the market, but there is a catch: you have to keep your terminal open. This is why we built Terragon: use Claude Code as a background agent.
0:48

Claude Code is the best coding agent on the market, but there is a catch: you have to keep your terminal open. This is why we built Terragon: use Claude Code as a background agent.

Sawyer Hood

151,045 просмотров • 1 год назад

Pi is a minimalist open source coding agent. It’s powerful but it has no built-in security, so I integrated Daytona sandboxes: - Each coding session gets an isolated sandbox - Live preview URLs - Your work is synced to a branch on GitHub
0:39

Pi is a minimalist open source coding agent. It’s powerful but it has no built-in security, so I integrated Daytona sandboxes: - Each coding session gets an isolated sandbox - Live preview URLs - Your work is synced to a branch on GitHub

James Murdza

13,373 просмотров • 3 месяцев назад

Move from idea to production-ready agents in hours with the updated ADK and our AI-native coding skills. Use Agent Studio to convert prompts into functional agents, or leverage Agent Garden's pre-built blueprints to jumpstart your multi-agent systems →
1:09

Move from idea to production-ready agents in hours with the updated ADK and our AI-native coding skills. Use Agent Studio to convert prompts into functional agents, or leverage Agent Garden's pre-built blueprints to jumpstart your multi-agent systems →

Google Cloud Tech

22,545 просмотров • 5 месяцев назад

Is there such a thing as the Vienna School of Agentic Coding? 🇦🇹✨ Find out in our latest mini doc featuring Mario Zechner and Armin Ronacher Watch it here: Mario Zechner, Armin Ronacher ⇌
0:23

Is there such a thing as the Vienna School of Agentic Coding? 🇦🇹✨ Find out in our latest mini doc featuring Mario Zechner and Armin Ronacher Watch it here: Mario Zechner, Armin Ronacher ⇌

Cult.Repo

27,169 просмотров • 3 месяцев назад

Claude Agent is now available in your JetBrains IDE’s AI chat! ✨ The new agent leverages Anthropic models, including the freshly released Claude 4.5 Sonnet. ✨ No extra plugins. No extra subscriptions. Just advanced AI coding built in. Learn more 👉
0:21

Claude Agent is now available in your JetBrains IDE’s AI chat! ✨ The new agent leverages Anthropic models, including the freshly released Claude 4.5 Sonnet. ✨ No extra plugins. No extra subscriptions. Just advanced AI coding built in. Learn more 👉

JetBrains

25,856 просмотров • 1 год назад

I lied. pi 0.37.8 is my final holiday gift. npm install -g @mariozechner/pi-coding-agent git clone pi -r pi-doom /doom Enjoy DOOM in your coding harness* *terminals with Kitty keyboard protocol support only
1:10

I lied. pi 0.37.8 is my final holiday gift. npm install -g @mariozechner/pi-coding-agent git clone pi -r pi-doom /doom Enjoy DOOM in your coding harness* *terminals with Kitty keyboard protocol support only

Mario Zechner

11,234 просмотров • 8 месяцев назад

I built an AI data visualization Agent. The AI Agent can automatically generate the code and visualize the data using code interpreter sandbox. 100% Opensource Code with step-by-step tutorial.
1:40

I built an AI data visualization Agent. The AI Agent can automatically generate the code and visualize the data using code interpreter sandbox. 100% Opensource Code with step-by-step tutorial.

Shubham Saboo

68,488 просмотров • 1 год назад

I built an AI agent army… Here’s what most people are missing
1:49

I built an AI agent army… Here’s what most people are missing

Nick O’Neill

91,039 просмотров • 7 месяцев назад