Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

Your coding agent can run commands, use tools, and touch your entire codebase And most of you have ZERO controls on it Harden AIF fixes that Local security model reviews every tool call in context and stops the unnecessary or risky ones before they execute Runs fully local Repo... show more

Hasan Toor

437,595 subscribers

13,244 Aufrufe • vor 1 Monat •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Meet Graphite Agent: the AI reviewer you can collaborate with. Built right into your PR page, Graphite Agent has full context across your codebase and repo history. It’s the collaborator that makes every review more productive.

Meet Graphite Agent: the AI reviewer you can collaborate with. Built right into your PR page, Graphite Agent has full context across your codebase and repo history. It’s the collaborator that makes every review more productive.

Graphite

311,508 Aufrufe • vor 1 Jahr

🚨 CodeRabbit releases its AI agent in major coding tools. You can now use Cursor or Windsurf for coding, and let CodeRabbit’s AI agent help you debug and find security vulnerabilities. Free AI code reviews directly in the IDE. Here’s how:

🚨 CodeRabbit releases its AI agent in major coding tools. You can now use Cursor or Windsurf for coding, and let CodeRabbit’s AI agent help you debug and find security vulnerabilities. Free AI code reviews directly in the IDE. Here’s how:

Alvaro Cintas

53,377 Aufrufe • vor 1 Jahr

Your PC can now run an entire AI studio for free. Locally Uncensored puts chat, image generation, video generation, and a coding agent in one desktop app for Windows and Linux. - Chat with local models and your own documents - Generate images and videos on your GPU - Write code and review changes before applying them - Run agents with tools and MCP connections Install it, pick a model, and start. It shows which models fit your hardware before you download. No Docker. No terminal. No cloud required for the local workflows. 100% Free. Open Source.

Your PC can now run an entire AI studio for free. Locally Uncensored puts chat, image generation, video generation, and a coding agent in one desktop app for Windows and Linux. - Chat with local models and your own documents - Generate images and videos on your GPU - Write code and review changes before applying them - Run agents with tools and MCP connections Install it, pick a model, and start. It shows which models fit your hardware before you download. No Docker. No terminal. No cloud required for the local workflows. 100% Free. Open Source.

Oliver Prompts

21,751 Aufrufe • vor 21 Tagen

Claude just solved one of AI coding’s biggest problems. 🤯 It can now turn your entire codebase into: → an interactive architecture map for humans → a memory system for AI agents So the next coding agent instantly understands your APIs, components, auth, DB flows, and dependencies. No more dropping AI into a random repo with zero context. Your codebase can literally explain itself now.

Claude just solved one of AI coding’s biggest problems. 🤯 It can now turn your entire codebase into: → an interactive architecture map for humans → a memory system for AI agents So the next coding agent instantly understands your APIs, components, auth, DB flows, and dependencies. No more dropping AI into a random repo with zero context. Your codebase can literally explain itself now.

Radha Tripathi

23,136 Aufrufe • vor 5 Monaten

THIS IS WHAT A SUPPORT TEAM LOOKS LIKE IN 2026 A customer reports that their export stops at 10,000 of 18,400 contacts. And instead of passing the ticket from tool to tool: → Support agent replies → Coding agent finds the bug → Docs agent updates the guide → CRM agent prepares the renewal All on the same ticket, with the same context: logs, billing, code and previous conversations. It's called Helpin. It's open source and you can self-host it.

THIS IS WHAT A SUPPORT TEAM LOOKS LIKE IN 2026 A customer reports that their export stops at 10,000 of 18,400 contacts. And instead of passing the ticket from tool to tool: → Support agent replies → Coding agent finds the bug → Docs agent updates the guide → CRM agent prepares the renewal All on the same ticket, with the same context: logs, billing, code and previous conversations. It's called Helpin. It's open source and you can self-host it.

marcus

22,919 Aufrufe • vor 19 Tagen

Introducing agent-tail: a dev tool that makes your logs easily accessible to agents. npm i agent-tail Wrap dev server commands, add the Vite/Next plugin, install the skill, and your agent has full context of your browser, server, and any other logs. Link to full docs below ↓

Introducing agent-tail: a dev tool that makes your logs easily accessible to agents. npm i agent-tail Wrap dev server commands, add the Vite/Next plugin, install the skill, and your agent has full context of your browser, server, and any other logs. Link to full docs below ↓

Kyle Gill

29,461 Aufrufe • vor 8 Monaten

🤯 THIS FEELS ILLEGAL AND I LOVE IT. I found a personal AI assistant that actually runs on your computer 24/7 and gets smarter the more you use it. It is called Mercury. 100% FREE. Think of it like having a smart assistant who never forgets anything. Here is what it does: ↳ Remembers everything about you ↳ Asks before doing anything risky It will not run commands or touch your files without permission. You stay in control always. ↳ You can message it from anywhere ↳ Has 31 tools built in ↳ Protects your AI credits One command to install: npx @cosmicstack/mercury-agent 100% OpenSource. Works on Mac, Windows, and Linux.

🤯 THIS FEELS ILLEGAL AND I LOVE IT. I found a personal AI assistant that actually runs on your computer 24/7 and gets smarter the more you use it. It is called Mercury. 100% FREE. Think of it like having a smart assistant who never forgets anything. Here is what it does: ↳ Remembers everything about you ↳ Asks before doing anything risky It will not run commands or touch your files without permission. You stay in control always. ↳ You can message it from anywhere ↳ Has 31 tools built in ↳ Protects your AI credits One command to install: npx @cosmicstack/mercury-agent 100% OpenSource. Works on Mac, Windows, and Linux.

Kanika

13,601 Aufrufe • vor 4 Monaten

This is my MacBook Air M2 (16GB) with Hermes Agent powered by MiniCPM5-2B. 96k context, and a very respectable output of 20-24 tok/s. This is totally usable, and MiniCPM5 can do all the tool calls to manage the basics with Hermes in a personal agent context. I wouldn't use it to build the next Salesforce, but for the home enthusiast this is a powerful and fast local model that can really punch above its weight, and runs on almost anything. Look at it go.. Amazing!

This is my MacBook Air M2 (16GB) with Hermes Agent powered by MiniCPM5-2B. 96k context, and a very respectable output of 20-24 tok/s. This is totally usable, and MiniCPM5 can do all the tool calls to manage the basics with Hermes in a personal agent context. I wouldn't use it to build the next Salesforce, but for the home enthusiast this is a powerful and fast local model that can really punch above its weight, and runs on almost anything. Look at it go.. Amazing!

GooGZ AI

23,255 Aufrufe • vor 1 Monat

I still think Hermes agent is the most slept-on AI tool of 2026. For literally $6/mo, you can launch multiple subagents that work for you 24/7. Most people don't know you can do this, but it's a complete game-changer. Instead of one Hermes assistant doing everything sequentially, you run specialized agents in parallel, each with its own job, its own context, and its own memory. Practical example: → Research agent: scans your watchlist and competitors overnight, delivers a morning brief → Content agent: drafts and schedules your posts based on what's trending in your niche → Ops agent: manages your inbox, flags anything urgent, drafts replies for your review All three can run simultaneously and improve over time. How to start: 1. Install Hermes Terminal command: curl -fsSL | bash (can also download desktop) 2. Prompting Simply tell Hermes directly: "I want to run separate subagents for [task 1], [task 2], and [task 3]. Set them up to run independently and report back to me." For the cheapest setup, you can use a $4/month VPS with Hostinger, plug in DeepSeek V4 Flash as your default model. There isn't another AI tool with this much value in 2026. Hermes is still so underrated.

I still think Hermes agent is the most slept-on AI tool of 2026. For literally $6/mo, you can launch multiple subagents that work for you 24/7. Most people don't know you can do this, but it's a complete game-changer. Instead of one Hermes assistant doing everything sequentially, you run specialized agents in parallel, each with its own job, its own context, and its own memory. Practical example: → Research agent: scans your watchlist and competitors overnight, delivers a morning brief → Content agent: drafts and schedules your posts based on what's trending in your niche → Ops agent: manages your inbox, flags anything urgent, drafts replies for your review All three can run simultaneously and improve over time. How to start: 1. Install Hermes Terminal command: curl -fsSL | bash (can also download desktop) 2. Prompting Simply tell Hermes directly: "I want to run separate subagents for [task 1], [task 2], and [task 3]. Set them up to run independently and report back to me." For the cheapest setup, you can use a $4/month VPS with Hostinger, plug in DeepSeek V4 Flash as your default model. There isn't another AI tool with this much value in 2026. Hermes is still so underrated.

Miles Deutscher

82,643 Aufrufe • vor 3 Monaten

new skill: create-canvas. last week I made a skill to put every component from a repo on one canvas. I started using it with my agent to create variations, compare ideas, and iterate visually without leaving the codebase. so I made a new skill around that workflow. instead of moving your work into another tool, bring the canvas into your codebase and use it to explore UI with your agent, using the real components, styles, and project context already there.

new skill: create-canvas. last week I made a skill to put every component from a repo on one canvas. I started using it with my agent to create variations, compare ideas, and iterate visually without leaving the codebase. so I made a new skill around that workflow. instead of moving your work into another tool, bring the canvas into your codebase and use it to explore UI with your agent, using the real components, styles, and project context already there.

Ibelick

37,247 Aufrufe • vor 7 Tagen

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 Aufrufe • vor 2 Monaten

The new Cursor agent is INSANE It can run any python func in your codebase. The idea being being to check output & debug, but fuck that CRAZY SIDE EFFECT: this means you can customize the agent w/ callable tools! Like GPT Store actions or Claude MCP Cursor Agent Builder!

The new Cursor agent is INSANE It can run any python func in your codebase. The idea being being to check output & debug, but fuck that CRAZY SIDE EFFECT: this means you can customize the agent w/ callable tools! Like GPT Store actions or Claude MCP Cursor Agent Builder!

Nick Dobos

63,056 Aufrufe • vor 1 Jahr

🚨 AI AGENTS COULD ALREADY USE COMPUTERS. NOW THEY HAVE THEIR OWN PHONE It’s called PhoneUse, and it launches today. You give your agent a cloud phone, a real Android or iPhone, tell it what to do, and it uses the phone just like you would. First came computer-use. Then browser-use. Now there’s phone-use. What it can do: → Order an Uber and text you updates along the way → Research trends on TikTok → Get around old apps with no API, like insurance apps → Complete two-factor verification → Read your notifications and act on its own: if your flight is delayed, it messages you And here’s the big part: most mobile apps have no API and no MCP. Until now, agents couldn’t get into them. With a phone, they can. It connects through MCP or an API, so you can use it from the agent you already have. The world still runs on mobile. Now your agent does too. Save this before you forget 🔖 Link in the comments 👇

🚨 AI AGENTS COULD ALREADY USE COMPUTERS. NOW THEY HAVE THEIR OWN PHONE It’s called PhoneUse, and it launches today. You give your agent a cloud phone, a real Android or iPhone, tell it what to do, and it uses the phone just like you would. First came computer-use. Then browser-use. Now there’s phone-use. What it can do: → Order an Uber and text you updates along the way → Research trends on TikTok → Get around old apps with no API, like insurance apps → Complete two-factor verification → Read your notifications and act on its own: if your flight is delayed, it messages you And here’s the big part: most mobile apps have no API and no MCP. Until now, agents couldn’t get into them. With a phone, they can. It connects through MCP or an API, so you can use it from the agent you already have. The world still runs on mobile. Now your agent does too. Save this before you forget 🔖 Link in the comments 👇

silvan

20,056 Aufrufe • vor 6 Tagen

AI agents are great until you have no idea what they’re actually doing. Grok-UI fixes that problem in a very builder-friendly way. A local-first web dashboard for Grok Build that lets you monitor CLI sessions, agent activity, Git changes, and session history in real time. It’s the kind of dashboard that makes agent work feel a lot less mysterious. Grok xAI / Writer: Annette, Grok Imagine Designer: Janné

AI agents are great until you have no idea what they’re actually doing. Grok-UI fixes that problem in a very builder-friendly way. A local-first web dashboard for Grok Build that lets you monitor CLI sessions, agent activity, Git changes, and session history in real time. It’s the kind of dashboard that makes agent work feel a lot less mysterious. Grok xAI / Writer: Annette, Grok Imagine Designer: Janné

Mario Nawfal

59,002 Aufrufe • vor 3 Monaten

Alright, now that we know *what* an agent is, how does it actually work? When you ask for help on a task, the agent plans a series of steps and executes them directly in the application on your behalf, using the tools it has access to. Say you are booking a local service or trying to organize your inbox (which typically takes multiple steps): the AI model first plans how to achieve the task using its existing knowledge and then interacts with your inbox to execute the task. The agent will continue until it is confident the task has been successfully completed.

Alright, now that we know what an agent is, how does it actually work? When you ask for help on a task, the agent plans a series of steps and executes them directly in the application on your behalf, using the tools it has access to. Say you are booking a local service or trying to organize your inbox (which typically takes multiple steps): the AI model first plans how to achieve the task using its existing knowledge and then interacts with your inbox to execute the task. The agent will continue until it is confident the task has been successfully completed.

Google AI

22,487 Aufrufe • vor 11 Monaten

▣ Introducing Endless: infinite inference (kinda). An experimental harness to milk every ounce out of your Codex subscription. Since Codex can let an in-progress turn keep going even after your usage hits 100%, why not put that to the test? Endless starts one Codex turn and gives the agent a wait_for_user_input tool. Once it finishes a task, it calls that tool and waits. Your next message becomes the tool result, keeping the entire session inside the same turn. It runs through Codex’s own app server using your existing ChatGPT login. Native tools, automatic compaction, context tracking, and quota tracking still work as usual. ⚠️ NOTE: I CAN’T CONFIRM THAT YOU WON’T GET BANNED OR PUNISHED FOR USING THIS TOOL. USE IT AT YOUR OWN RISK.

▣ Introducing Endless: infinite inference (kinda). An experimental harness to milk every ounce out of your Codex subscription. Since Codex can let an in-progress turn keep going even after your usage hits 100%, why not put that to the test? Endless starts one Codex turn and gives the agent a wait_for_user_input tool. Once it finishes a task, it calls that tool and waits. Your next message becomes the tool result, keeping the entire session inside the same turn. It runs through Codex’s own app server using your existing ChatGPT login. Native tools, automatic compaction, context tracking, and quota tracking still work as usual. ⚠️ NOTE: I CAN’T CONFIRM THAT YOU WON’T GET BANNED OR PUNISHED FOR USING THIS TOOL. USE IT AT YOUR OWN RISK.

maria

254,287 Aufrufe • vor 2 Monaten

Introducing Pages on Superset mobile Your agents can now deliver interactive demos, mockups, and reports as Pages you can review from your phone. Ask an agent to build a feature, compare designs, or investigate a problem. It can put the result in a Page with the context you need to review it and give feedback. A few ways to use it: • Feature work: try an interactive demo, then inspect the code in the PR. • Design reviews: compare mockups and before-and-after screenshots. • Investigations: explore findings, charts, and recommendations in one place. To try it, ask your agent to build a feature and create a Page for you to review.

Introducing Pages on Superset mobile Your agents can now deliver interactive demos, mockups, and reports as Pages you can review from your phone. Ask an agent to build a feature, compare designs, or investigate a problem. It can put the result in a Page with the context you need to review it and give feedback. A few ways to use it: • Feature work: try an interactive demo, then inspect the code in the PR. • Design reviews: compare mockups and before-and-after screenshots. • Investigations: explore findings, charts, and recommendations in one place. To try it, ask your agent to build a feature and create a Page for you to review.

Kiet

85,841 Aufrufe • vor 1 Monat

Introducing React Doctor Scan your React codebase for anti-patterns: - Unnecessary useEffects - Fix accessibility issues - Prop drilling instead of context / composition Run as a CLI or agent skill. Repeat until passing. Fully open source

Introducing React Doctor Scan your React codebase for anti-patterns: - Unnecessary useEffects - Fix accessibility issues - Prop drilling instead of context / composition Run as a CLI or agent skill. Repeat until passing. Fully open source

Aiden Bai

1,082,090 Aufrufe • vor 8 Monaten

holy sh*t xai basically built an app store for grok bot instead of hard-coding every workflow, this repo lets you keep adding new capabilities to grok through plugins and reusable integrations [official xai marketplace - 200+ stars] 1/ add new tools without rebuilding the agent 2/ plug in reusable workflows and commands 3/ extend grok with external services and dev tooling the interesting part is that grok bot stops being one fixed assistant and turns into something you can keep upgrading around your own workflow this is probably the repo to study if you want to build on top of grok instead of just prompting it

holy sh*t xai basically built an app store for grok bot instead of hard-coding every workflow, this repo lets you keep adding new capabilities to grok through plugins and reusable integrations [official xai marketplace - 200+ stars] 1/ add new tools without rebuilding the agent 2/ plug in reusable workflows and commands 3/ extend grok with external services and dev tooling the interesting part is that grok bot stops being one fixed assistant and turns into something you can keep upgrading around your own workflow this is probably the repo to study if you want to build on top of grok instead of just prompting it

Gipp 🦅

15,598 Aufrufe • vor 1 Monat

What if your model handled its own tuning? ⚙️ With NVIDIA TAO 7, just prompt your coding agent what you want in plain language and let it do the rest. • Agent skills plug into your coding agent and improve accuracy. • AutoML removes the guesswork from hyperparameters. LLM-guided tuning finds strong configs up to 2x faster. • Fine-tune any Hugging Face CV or VLM model on local NVIDIA GPUs. • Data enhanced fine-tuning helps your agent identify why the model fails, then fix it. Try TAO skills ➡️

What if your model handled its own tuning? ⚙️ With NVIDIA TAO 7, just prompt your coding agent what you want in plain language and let it do the rest. • Agent skills plug into your coding agent and improve accuracy. • AutoML removes the guesswork from hyperparameters. LLM-guided tuning finds strong configs up to 2x faster. • Fine-tune any Hugging Face CV or VLM model on local NVIDIA GPUs. • Data enhanced fine-tuning helps your agent identify why the model fails, then fix it. Try TAO skills ➡️

NVIDIA AI

42,294 Aufrufe • vor 3 Monaten