Загрузка видео...

Не удалось загрузить видео

На главную

Teach your repo how to run itself 🦾💨 Introducing Keystone: a self-configuring agent inside a sandboxed @Modal container that generates a working dev container for any repo → pip install imbue-keystone

imbue_ai's profile picture

Imbue

10,043 subscribers

18,960 просмотров • 5 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

Spinning up LangChainGo? This walkthrough shows how to launch a working agent with Docker Compose using the compose-for-agents repo. Local dev or cloud offload, one command to run. Watch here: Repo:
0:41

Spinning up LangChainGo? This walkthrough shows how to launch a working agent with Docker Compose using the compose-for-agents repo. Local dev or cloud offload, one command to run. Watch here: Repo:

Docker

39,642 просмотров • 11 месяцев назад

ExplainThisRepo is live 🥳 A CLI package tool that explains any GitHub repo in plain English. It fetches a repo’s README + metadata and generates a human readable file in one command. try it: `pip install explainthisrepo explainthisrepo owner/repo` A thread 🧵
0:37

ExplainThisRepo is live 🥳 A CLI package tool that explains any GitHub repo in plain English. It fetches a repo’s README + metadata and generates a human readable file in one command. try it: `pip install explainthisrepo explainthisrepo owner/repo` A thread 🧵

Caleb Wodi | Calebthenics

14,396 просмотров • 7 месяцев назад

Announcing skillgrade - the easiest way to evaluate your agent skills All you need is two commands: skillgrade init # create evals skillgrade # run them By default evals run in a safe sandboxed docker container
0:56

Announcing skillgrade - the easiest way to evaluate your agent skills All you need is two commands: skillgrade init # create evals skillgrade # run them By default evals run in a safe sandboxed docker container

Minko Gechev

45,051 просмотров • 5 месяцев назад

Introducing Dial-a-Repo Pick up your phone and talk to any public GitHub repository.
5:12

Introducing Dial-a-Repo Pick up your phone and talk to any public GitHub repository.

Zeke Sikelianos

16,099 просмотров • 22 дней назад

Just built a GitHub CLI extension that turns any repo into a roguelike dungeon crawler. Procedurally generated, deterministic worlds unique to each repo + SHA. Built with GitHub Copilot CLI for DEV Community’s challenge, ⭐️
2:19

Just built a GitHub CLI extension that turns any repo into a roguelike dungeon crawler. Procedurally generated, deterministic worlds unique to each repo + SHA. Built with GitHub Copilot CLI for DEV Community’s challenge, ⭐️

Lee Reilly 

17,863 просмотров • 7 месяцев назад

Your AI agent is writing code nobody reviewed and running it on your machine. Most teams answer "where does it run" with a container and a hope. Introducing CreateOS Sandbox. Run code you cannot trust, with the networking, egress control, and self-hosting you need. 🧵
0:20

Your AI agent is writing code nobody reviewed and running it on your machine. Most teams answer "where does it run" with a container and a hope. Introducing CreateOS Sandbox. Run code you cannot trust, with the networking, egress control, and self-hosting you need. 🧵

CreateOS

13,874 просмотров • 2 месяцев назад

Introducing container use for agents. Go from babysitting one agent at a time to enabling many agents to work safely and independently with your preferred stack.
1:43

Introducing container use for agents. Go from babysitting one agent at a time to enabling many agents to work safely and independently with your preferred stack.

Dagger

30,379 просмотров • 1 год назад

This is actually useful. LangChain just released OpenWiki. It's an open-source agent that creates a wiki for your codebase, connects it to your coding agent, and keeps it updated as your repo changes. Your AI coding agent gets long-term repo context without stuffing everything into CLAUDE.md. Here's how to setup. Save this.
6:18

This is actually useful. LangChain just released OpenWiki. It's an open-source agent that creates a wiki for your codebase, connects it to your coding agent, and keeps it updated as your repo changes. Your AI coding agent gets long-term repo context without stuffing everything into CLAUDE.md. Here's how to setup. Save this.

Min Choi

125,815 просмотров • 2 месяцев назад

Top 1 upgrade for your development environment: Start using Dev Containers. During every cohort of my Machine Learning Engineering program, 100+ developers try to run a complex system on their computers. I was wasting 10+ hours every week troubleshooting individual configurations. It was exhausting! I started using Dev Container, and now people are up and running in 2 minutes with no issues. Dev Containers are probably one of the best upgrades you'll make to your environment. They asked me to record a video in class to show them how to create a Dev Container for any project. Here is that video.
23:58

Top 1 upgrade for your development environment: Start using Dev Containers. During every cohort of my Machine Learning Engineering program, 100+ developers try to run a complex system on their computers. I was wasting 10+ hours every week troubleshooting individual configurations. It was exhausting! I started using Dev Container, and now people are up and running in 2 minutes with no issues. Dev Containers are probably one of the best upgrades you'll make to your environment. They asked me to record a video in class to show them how to create a Dev Container for any project. Here is that video.

Santiago

63,246 просмотров • 1 год назад

You wanted shadcn — so we built the heinous infra to make it work. Introducing Agent Arena, starting with the best: Claude Code by Anthropic Codex 5 by OpenAI Cursor Agent by Cursor Devin by Cognition Gemini CLI by Google DeepMind Grok Code Fast 1 by xAI 1/ Your prompt launches a containerized agent inside a fresh GitHub repo 2/ The agent can install packages, make tool calls, and write multi-file code 3/ The repo is deployed to Vercel *by the agent*, clonable to your heart's desire
0:25

You wanted shadcn — so we built the heinous infra to make it work. Introducing Agent Arena, starting with the best: Claude Code by Anthropic Codex 5 by OpenAI Cursor Agent by Cursor Devin by Cognition Gemini CLI by Google DeepMind Grok Code Fast 1 by xAI 1/ Your prompt launches a containerized agent inside a fresh GitHub repo 2/ The agent can install packages, make tool calls, and write multi-file code 3/ The repo is deployed to Vercel *by the agent*, clonable to your heart's desire

Grace Li

169,041 просмотров • 10 месяцев назад

Introducing the new v0 & GitHub integration. - Import any repo and work on your actual codebase - Every code change generates a commit - Open PRs and merge directly from v0 - v0 handles branches automatically
0:54

Introducing the new v0 & GitHub integration. - Import any repo and work on your actual codebase - Every code change generates a commit - Open PRs and merge directly from v0 - v0 handles branches automatically

v0

14,795 просмотров • 6 месяцев назад

dbt Agent Skills are now open source. MCP gives agents access to dbt tools and governed context. Agent Skills teach them how to use those tools like a real dbt practitioner. Blog: Repo:
0:32

dbt Agent Skills are now open source. MCP gives agents access to dbt tools and governed context. Agent Skills teach them how to use those tools like a real dbt practitioner. Blog: Repo:

dbt

35,061 просмотров • 7 месяцев назад

Someone paid $6,000 (!) to get OpenClaw setup. So I built a free, open-source alternative: > OpenClaw Operator It's an agent skill + AGENTS.md/CLAUDE.md file that gives Codex/Claude Code the playbooks + validation flow needed to configure your local OpenClaw install. You open your OpenClaw repo/workspace in your coding agent and say things like: - “set up a cron job” - “create a custom skill” - “fix my provider config” - “troubleshoot this install and validate it” Nothing magical. Uses context from the OpenClaw open-source repo + docs to provide an effective skill. Includes: - SKILL.md - AGENTS.md/CLAUDE.md - validation checklist - task playbooks Free and open source. Contributions welcome. Demo below. Repo in reply.
0:20

Someone paid $6,000 (!) to get OpenClaw setup. So I built a free, open-source alternative: > OpenClaw Operator It's an agent skill + AGENTS.md/CLAUDE.md file that gives Codex/Claude Code the playbooks + validation flow needed to configure your local OpenClaw install. You open your OpenClaw repo/workspace in your coding agent and say things like: - “set up a cron job” - “create a custom skill” - “fix my provider config” - “troubleshoot this install and validate it” Nothing magical. Uses context from the OpenClaw open-source repo + docs to provide an effective skill. Includes: - SKILL.md - AGENTS.md/CLAUDE.md - validation checklist - task playbooks Free and open source. Contributions welcome. Demo below. Repo in reply.

Dan McAteer

17,809 просмотров • 6 месяцев назад

Grok Build for Windows. Your terminal just got a dev teammate. Plans, writes, runs, debugs. Not suggestions. Execution. Multi-agent system. Arena mode ranking outputs. This is real coding inside PowerShell. Set it up on Windows: * Open PowerShell - run as Administrator * Install it - paste the command irm | iex * Go to your project - cd into your repo * Run grok - launch the CLI * Sign in - one-time login with SuperGrok * Start prompting - build, fix, refactor * Let agents run - parallel work, less waiting * Review outputs - diffs, rankings, results Windows dev flow. No excuses. xAI Grok
1:16

Grok Build for Windows. Your terminal just got a dev teammate. Plans, writes, runs, debugs. Not suggestions. Execution. Multi-agent system. Arena mode ranking outputs. This is real coding inside PowerShell. Set it up on Windows: * Open PowerShell - run as Administrator * Install it - paste the command irm | iex * Go to your project - cd into your repo * Run grok - launch the CLI * Sign in - one-time login with SuperGrok * Start prompting - build, fix, refactor * Let agents run - parallel work, less waiting * Review outputs - diffs, rankings, results Windows dev flow. No excuses. xAI Grok

Mario Nawfal

98,671 просмотров • 3 месяцев назад

introducing vmux: `vmux run` bundles and runs your code in a long-running cloudflare container and gives you a preview url in under 5s its a drop-in for uv run - close your laptop, run a tinker training job, come back and reattach via tmux!
2:50

introducing vmux: `vmux run` bundles and runs your code in a long-running cloudflare container and gives you a preview url in under 5s its a drop-in for uv run - close your laptop, run a tinker training job, come back and reattach via tmux!

Surya

215,070 просмотров • 8 месяцев назад

this 16-min video course teaches you how to set up your own agent-dev team. it’s free. zero coding. just watch, copy the prompts and deploy. and just like that, you’ll have: • a frontend dev • a backend dev • a QA agent all working for you, ready to build anything.
7:35

this 16-min video course teaches you how to set up your own agent-dev team. it’s free. zero coding. just watch, copy the prompts and deploy. and just like that, you’ll have: • a frontend dev • a backend dev • a QA agent all working for you, ready to build anything.

m0h

150,284 просмотров • 4 месяцев назад

This GitHub repo is gold for anyone running Claude Code/ Codex / Any coding agent at all. My usage limits almost last double since I started using this. An open source context layer that stops your agent from reading 40 files to answer one question. No API key, no billing, no rate limit tiers. Benchmarked against Claude Code baseline: 27x token efficiency, 36% lower cost, 89% fewer file reads, 49% fewer tool calls. Every number is reproducible, the harness is in the repo. 3.5k+ stars. 50k+ pip installs, 30+ contributors, works with Claude Code, Cursor and VS Code out of the box. pip install repowise and point it at your codebase.
0:20

This GitHub repo is gold for anyone running Claude Code/ Codex / Any coding agent at all. My usage limits almost last double since I started using this. An open source context layer that stops your agent from reading 40 files to answer one question. No API key, no billing, no rate limit tiers. Benchmarked against Claude Code baseline: 27x token efficiency, 36% lower cost, 89% fewer file reads, 49% fewer tool calls. Every number is reproducible, the harness is in the repo. 3.5k+ stars. 50k+ pip installs, 30+ contributors, works with Claude Code, Cursor and VS Code out of the box. pip install repowise and point it at your codebase.

Srishti

12,998 просмотров • 1 месяц назад

Run your coding agent on a local model, with QVAC. OpenCode now plugs into a model on your own machine through our official plugin. That changes two things. Privacy by default. Your repo, your prompts, and every command the agent runs stay on your device. No third-party model ever sees your code. For an agent that reads your codebase and runs commands, that is the point, not a nice-to-have. New workflows. With no meter and no rate limit, the agent does not have to stop. Let it loop on a task, refactor a whole repo overnight, or run a watch-build-fix loop that keeps going. Setup takes a few minutes: one line in opencode.json and OpenCode runs on a local QVAC model. In the video demo, it handles three real developer tasks back to back, fully offline.
1:53

Run your coding agent on a local model, with QVAC. OpenCode now plugs into a model on your own machine through our official plugin. That changes two things. Privacy by default. Your repo, your prompts, and every command the agent runs stay on your device. No third-party model ever sees your code. For an agent that reads your codebase and runs commands, that is the point, not a nice-to-have. New workflows. With no meter and no rate limit, the agent does not have to stop. Let it loop on a task, refactor a whole repo overnight, or run a watch-build-fix loop that keeps going. Setup takes a few minutes: one line in opencode.json and OpenCode runs on a local QVAC model. In the video demo, it handles three real developer tasks back to back, fully offline.

QVAC

11,382,936 просмотров • 2 месяцев назад

This is Repo Prompt 1.5 The new Context Builder connects to your agent of choice, using your existing subscriptions, to fully automate the process of building the perfect context for a given token budget. All of Repo Prompt's power, fully automated, with 1 click
2:37

This is Repo Prompt 1.5 The new Context Builder connects to your agent of choice, using your existing subscriptions, to fully automate the process of building the perfect context for a given token budget. All of Repo Prompt's power, fully automated, with 1 click

eric provencher

195,327 просмотров • 10 месяцев назад