Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

We just added Prompt Completions to Augment for VS Code. You’ll now get context-aware suggestions as you type prompts for your agent — including natural-language completions, variable names, file references, and more. It makes writing great prompts faster, especially for users who craft long specs or detailed instructions. Powered... show more

Augment Code

18,573 subscribers

593,917 views • 8 months ago •via X (Twitter)

Science & Technology

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Agent mode is now available in public preview for all users in Visual Studio 17.14. Agent mode in Visual Studio allows you to define tasks using natural language, with Copilot autonomously planning, editing your codebase, invoking tools, and iterating to resolve issues. Unlike Copilot Chat or Edits, agent mode doesn’t stop at one suggestion or file edit. Read more about it in our blog. 📖 #visualstudionews #githubcopilot #agent

Agent mode is now available in public preview for all users in Visual Studio 17.14. Agent mode in Visual Studio allows you to define tasks using natural language, with Copilot autonomously planning, editing your codebase, invoking tools, and iterating to resolve issues. Unlike Copilot Chat or Edits, agent mode doesn’t stop at one suggestion or file edit. Read more about it in our blog. 📖 #visualstudionews #githubcopilot #agent

Visual Studio

93,280 views • 1 year ago

OpenAI launched Agents in ChatGPT today. It’s great for consumers who want to automate tasks in ChatGPT. But what if you want to build features powered by the same tools? I dropped put same demo prompt into Director, our web agent builder, to generate a script for that. Director enables anyone to build software powered by web agents. You prompt it once, and get a deterministic web agent that you can integrate into your application. It's a great starting point for building powerful buttons that do work FOR your users.

OpenAI launched Agents in ChatGPT today. It’s great for consumers who want to automate tasks in ChatGPT. But what if you want to build features powered by the same tools? I dropped put same demo prompt into Director, our web agent builder, to generate a script for that. Director enables anyone to build software powered by web agents. You prompt it once, and get a deterministic web agent that you can integrate into your application. It's a great starting point for building powerful buttons that do work FOR your users.

Paul Klein IV

32,299 views • 1 year ago

We built MiniMax a CLI coding agent like Claude Code, powered by MiniMax M3. It can: → Read files → Write code → Run shell commands autonomously → Understand large codebases with long-context reasoning → Handle real multi-file engineering tasks → Work entirely inside your terminal And it's fully hackable. Swap prompts. Add tools. Customize workflows. Make it your own. No GUI. Just code. Built for developers who live in the terminal.

We built MiniMax a CLI coding agent like Claude Code, powered by MiniMax M3. It can: → Read files → Write code → Run shell commands autonomously → Understand large codebases with long-context reasoning → Handle real multi-file engineering tasks → Work entirely inside your terminal And it's fully hackable. Swap prompts. Add tools. Customize workflows. Make it your own. No GUI. Just code. Built for developers who live in the terminal.

Darshal Jaitwar

18,861 views • 1 month ago

Don't make your agent hunt for the right file. Use Cmd+L to highlight a specific block and send it straight to the Antigravity Agent chat prompt as a context item. Watch as we turn a simple list of flavors into 12 with zero distractions, just direct revision. Clean context is the secret ingredient. 🍦✨

Don't make your agent hunt for the right file. Use Cmd+L to highlight a specific block and send it straight to the Antigravity Agent chat prompt as a context item. Watch as we turn a simple list of flavors into 12 with zero distractions, just direct revision. Clean context is the secret ingredient. 🍦✨

Google Antigravity

81,074 views • 5 months ago

CONTEXT ENGINEERING > PROMPT ENGINEERING Everyone is obsessed with writing better prompts. The next generation of AI builders is focused on context engineering instead. • Prompt engineering shapes the question. Context engineering shapes everything the AI sees. • Great prompts can't save an agent missing critical context, memory, or tools. • AI failures often come from missing information, not weak models. • Context engineering combines prompts, memory, RAG, state management, and tool access into one system. What powers effective AI agents? → Memory: Remembers preferences, past interactions, and ongoing tasks. → State Management: Tracks progress across multi-step workflows. → RAG: Retrieves only the most relevant information when needed. → Tools: Connects AI to APIs, databases, code execution, and real-world actions. → Dynamic Prompts: Enriches instructions with live context at runtime. The key insight: Prompt Engineering = Better Questions Context Engineering = Better Systems The future of AI isn't building smarter prompts. It's building smarter environments for AI to think, remember, retrieve, and act.

CONTEXT ENGINEERING > PROMPT ENGINEERING Everyone is obsessed with writing better prompts. The next generation of AI builders is focused on context engineering instead. • Prompt engineering shapes the question. Context engineering shapes everything the AI sees. • Great prompts can't save an agent missing critical context, memory, or tools. • AI failures often come from missing information, not weak models. • Context engineering combines prompts, memory, RAG, state management, and tool access into one system. What powers effective AI agents? → Memory: Remembers preferences, past interactions, and ongoing tasks. → State Management: Tracks progress across multi-step workflows. → RAG: Retrieves only the most relevant information when needed. → Tools: Connects AI to APIs, databases, code execution, and real-world actions. → Dynamic Prompts: Enriches instructions with live context at runtime. The key insight: Prompt Engineering = Better Questions Context Engineering = Better Systems The future of AI isn't building smarter prompts. It's building smarter environments for AI to think, remember, retrieve, and act.

Dami-Defi

10,127 views • 1 month ago

Semrush now has an official app in ChatGPT by OpenAI enabling users to access Semrush data through natural-language prompts without leaving the chat. What this means for users: -Get on-demand SEO, traffic, and competitor insights powered by Semrush data. -Generate quick performance summaries and reports directly in ChatGPT. -Ask for keyword, backlink, or traffic breakdowns in natural language. -Track competitor trends in real time and spot new growth opportunities faster. Try it in ChatGPT Settings → apps.

Semrush now has an official app in ChatGPT by OpenAI enabling users to access Semrush data through natural-language prompts without leaving the chat. What this means for users: -Get on-demand SEO, traffic, and competitor insights powered by Semrush data. -Generate quick performance summaries and reports directly in ChatGPT. -Ask for keyword, backlink, or traffic breakdowns in natural language. -Track competitor trends in real time and spot new growth opportunities faster. Try it in ChatGPT Settings → apps.

Semrush

35,156 views • 6 months ago

Introducing Gamma Agent: your AI design partner. Agent is an entirely new way to edit your gammas. We built Agent to think with you so you can bring your ideas to life. With Agent you can: ✅ Research anything: search the web and pull in citations ✅ Refine everything: drop links, add screenshots, and upload images ✅ Restyle instantly: change image styles, themes, and the entire look ✅ Get feedback: review your deck and get suggestions Agent is now live in Gamma for all users.

Introducing Gamma Agent: your AI design partner. Agent is an entirely new way to edit your gammas. We built Agent to think with you so you can bring your ideas to life. With Agent you can: ✅ Research anything: search the web and pull in citations ✅ Refine everything: drop links, add screenshots, and upload images ✅ Restyle instantly: change image styles, themes, and the entire look ✅ Get feedback: review your deck and get suggestions Agent is now live in Gamma for all users.

Gamma

12,554 views • 10 months ago

New course: Spec-Driven Development with Coding Agents, built in partnership with JetBrains, and taught by Paul Everitt | @pauleveritt@fosstodon.org. Vibe coding is fast, but often produces code that doesn't match what you asked for. This short course teaches you spec-driven development: write a detailed spec defining what to build, and work with your coding agent to implement it. Many of the best developers already build this way. A spec lets you control large code changes with a few words, preserve context across agent sessions, and stay in control as your project grows in complexity. Skills you'll gain: - Write a detailed specification to define your mission, tech stack, and roadmap, giving your agent the context it needs from the start - Plan, implement, and validate features in iterative loops using a spec as your agent's guide - Apply the same repeatable workflow to both new and legacy codebases - Package your workflow into a portable agent skill that works across agents and IDEs Join and write specs that keep your coding agent on track!

New course: Spec-Driven Development with Coding Agents, built in partnership with JetBrains, and taught by Paul Everitt | @[email protected]. Vibe coding is fast, but often produces code that doesn't match what you asked for. This short course teaches you spec-driven development: write a detailed spec defining what to build, and work with your coding agent to implement it. Many of the best developers already build this way. A spec lets you control large code changes with a few words, preserve context across agent sessions, and stay in control as your project grows in complexity. Skills you'll gain: - Write a detailed specification to define your mission, tech stack, and roadmap, giving your agent the context it needs from the start - Plan, implement, and validate features in iterative loops using a spec as your agent's guide - Apply the same repeatable workflow to both new and legacy codebases - Package your workflow into a portable agent skill that works across agents and IDEs Join and write specs that keep your coding agent on track!

Andrew Ng

463,041 views • 3 months ago

🚂 Introducing Agent Prompt Train 🚂 An open-sourced high-performance proxy that works with Claude Code to help turn it from a single-developer tool into a collaborative development platform. Claude Code changed the game. Now, Agent Prompt Train is here to help teams: ✅ Log every conversation for review ✅ Analyze & optimize prompts with AI ✅ Turn best practices into reusable team commands ✨ The payoff: Smarter prompts, faster learning, and shared knowledge across your whole team. 📖 Read more on the blog & test it out 👇

🚂 Introducing Agent Prompt Train 🚂 An open-sourced high-performance proxy that works with Claude Code to help turn it from a single-developer tool into a collaborative development platform. Claude Code changed the game. Now, Agent Prompt Train is here to help teams: ✅ Log every conversation for review ✅ Analyze & optimize prompts with AI ✅ Turn best practices into reusable team commands ✨ The payoff: Smarter prompts, faster learning, and shared knowledge across your whole team. 📖 Read more on the blog & test it out 👇

Moonsong Labs

21,484 views • 11 months ago

LobeChat is an open-source, multi-model interface with 70k stars and 6 million downloads. Now, they have evolved into LobeHub. What caught the attention is that they're taking the agent harness to the next level. Most agent platforms, including Manus and Claude Cowork, treat agents as one-off executors. You prompt, they respond, and the context resets. That works for small jobs and breaks down for anything complex. LobeHub takes a different approach: Anyone can easily find, build, and collaborate with agent teammates that grow with users.🧵

LobeChat is an open-source, multi-model interface with 70k stars and 6 million downloads. Now, they have evolved into LobeHub. What caught the attention is that they're taking the agent harness to the next level. Most agent platforms, including Manus and Claude Cowork, treat agents as one-off executors. You prompt, they respond, and the context resets. That works for small jobs and breaks down for anything complex. LobeHub takes a different approach: Anyone can easily find, build, and collaborate with agent teammates that grow with users.🧵

GitHub Projects Community

12,334 views • 6 months ago

I built the clipboard I always wanted for working with AI agents. It’s called Bluey and It’s 100% local-first. It lives under your mouse cursor. You can draw on your screen, speak to it, or type what you mean, and Bluey turns all of that into rich context for Claude Code or Codex. I’ve been using it to design websites and debug UI because I can finally say things like “move this here” or “make this section feel cleaner” while pointing at the actual screen. No more writing long explanations. No more manually describing screenshots. No more agents getting lost because they don’t know what “this” or "that" means. You can just point to it, speak or type and it will curate the best possible context for your agents Bluey captures the screenshot, annotation, transcript, app/window context, and the details your agent needs, then sends it directly into your coding session. I am giving it out for free for a while! Im building it with my buddy Omkar Satpute and we would love to hear what you think about it on Discord what context do you wish your agent could understand better?

I built the clipboard I always wanted for working with AI agents. It’s called Bluey and It’s 100% local-first. It lives under your mouse cursor. You can draw on your screen, speak to it, or type what you mean, and Bluey turns all of that into rich context for Claude Code or Codex. I’ve been using it to design websites and debug UI because I can finally say things like “move this here” or “make this section feel cleaner” while pointing at the actual screen. No more writing long explanations. No more manually describing screenshots. No more agents getting lost because they don’t know what “this” or "that" means. You can just point to it, speak or type and it will curate the best possible context for your agents Bluey captures the screenshot, annotation, transcript, app/window context, and the details your agent needs, then sends it directly into your coding session. I am giving it out for free for a while! Im building it with my buddy Omkar Satpute and we would love to hear what you think about it on Discord what context do you wish your agent could understand better?

Milind S

13,342 views • 2 months ago

Introducing az8 studio — the Agentic Studio for AI video creation. AI video is no longer just about typing a prompt and hoping for the best. It is about creating in a workspace where your agent understands the whole project, remembers the context, and helps before you ask. Meet Zumi — your creative agent inside az8. Zumi sees your assets, prompts, scenes, results, and decisions in one visual studio. It can spot what is missing, suggest what to try next, and help turn vanilla ideas into finished videos.

Introducing az8 studio — the Agentic Studio for AI video creation. AI video is no longer just about typing a prompt and hoping for the best. It is about creating in a workspace where your agent understands the whole project, remembers the context, and helps before you ask. Meet Zumi — your creative agent inside az8. Zumi sees your assets, prompts, scenes, results, and decisions in one visual studio. It can spot what is missing, suggest what to try next, and help turn vanilla ideas into finished videos.

AZ8

385,260 views • 1 month ago

Introducing PAI 1.0: The First Version of Personal Super Intelligence PAI is the world's first context-aware, widget based AI agent that floats over your screen to read your context in real time and proactively suggest next steps, ensuring safety by executing actions only with your explicit approval. The floating AI interface designed to eliminate the prompt inequality and barrier. Structurally eliminating the "navigate to a chat window, write a prompt, explain your context" workflow that existing AI services have treated as a given for years.

Introducing PAI 1.0: The First Version of Personal Super Intelligence PAI is the world's first context-aware, widget based AI agent that floats over your screen to read your context in real time and proactively suggest next steps, ensuring safety by executing actions only with your explicit approval. The floating AI interface designed to eliminate the prompt inequality and barrier. Structurally eliminating the "navigate to a chat window, write a prompt, explain your context" workflow that existing AI services have treated as a given for years.

Eon (Yulheon) Seung

131,244 views • 2 months ago

I vibe-coded an AI agent for making presentations 🤖🖼️ - accessible to everyone and open-source! You can upload both your context files, as well as a style template (a file that captures the style of the presentation you want to create). Then you launch a prompt and watch the agent one-shot your presentation. After the presentation is generated, you can edit the text inline, chat with the agent to add/modify/delete slides, and export to Powerpoint or PDF. Built with Claude Code, powered by Claude Agent SDK + LlamaParse. Hosted on Vercel/Render. To use it, you do need to specify your LlamaCloud API key and Anthropic API key (see below). App: Repo: Sign up to LlamaCloud:

I vibe-coded an AI agent for making presentations 🤖🖼️ - accessible to everyone and open-source! You can upload both your context files, as well as a style template (a file that captures the style of the presentation you want to create). Then you launch a prompt and watch the agent one-shot your presentation. After the presentation is generated, you can edit the text inline, chat with the agent to add/modify/delete slides, and export to Powerpoint or PDF. Built with Claude Code, powered by Claude Agent SDK + LlamaParse. Hosted on Vercel/Render. To use it, you do need to specify your LlamaCloud API key and Anthropic API key (see below). App: Repo: Sign up to LlamaCloud:

Jerry Liu

21,073 views • 6 months ago

We are not just another AI Project, we are building 4 massive products on Hyperliquid 💠Preconfigured Prompts: Users can choose from a list of predefined prompts that align with their trading strategies or goals, including market analysis, risk management, and more. 💠Trading Assistance on the Hyperliquid DEX 💠Connect Your X Account to the AI Agent 💠Marketplace for AI Agents Check it out! $HYPEAI

We are not just another AI Project, we are building 4 massive products on Hyperliquid 💠Preconfigured Prompts: Users can choose from a list of predefined prompts that align with their trading strategies or goals, including market analysis, risk management, and more. 💠Trading Assistance on the Hyperliquid DEX 💠Connect Your X Account to the AI Agent 💠Marketplace for AI Agents Check it out! $HYPEAI

Hyper DeFAI

42,970 views • 1 year ago

Your agent should meet its adversary before it meets your customers or partners. Introducing Adversarial Agents: AI-powered mock users that try to break your agent by simulating hypothetical hostile scenarios to cover all possible 'unhappy' paths. Prompt injection. Topic derailing. Instruction overrides. Every angle that a bad actor or a frustrated caller might try or edge cases that may come up - test any and all possible scenarios before the agent goes live. Plus, get a full audit report measured against expected behavior showing exactly what held and what broke, with correction suggestions for each failure, so you can deploy with confidence. Red-team your AI agents before you ship them.

Your agent should meet its adversary before it meets your customers or partners. Introducing Adversarial Agents: AI-powered mock users that try to break your agent by simulating hypothetical hostile scenarios to cover all possible 'unhappy' paths. Prompt injection. Topic derailing. Instruction overrides. Every angle that a bad actor or a frustrated caller might try or edge cases that may come up - test any and all possible scenarios before the agent goes live. Plus, get a full audit report measured against expected behavior showing exactly what held and what broke, with correction suggestions for each failure, so you can deploy with confidence. Red-team your AI agents before you ship them.

HappyRobot

10,867 views • 2 months ago

Perplexity Comet can automate any task in your browser This is the first time you REALLY have an AI agent working autonomously for you. Makes much more sense than n8n or Make. → Navigate websites → Click, type, scroll, etc. → No code only natural language You can delegate anything and let it achieve the goal you've set. Prompt used below

Perplexity Comet can automate any task in your browser This is the first time you REALLY have an AI agent working autonomously for you. Makes much more sense than n8n or Make. → Navigate websites → Click, type, scroll, etc. → No code only natural language You can delegate anything and let it achieve the goal you've set. Prompt used below

Paul Couvert

81,497 views • 1 year ago

addicted to using boomerang mode (aka reverse D-Mail) in Pi these days. ctrl+alt+b enables it for the next prompt submitted -> after the prompt runs, it rewinds back to the same point with file changes intact + leaves a summary in the feed so the agent knows what happened. using it often can make the context window feel nearly unlimited. Powered by the native /tree functionality in pi. pi install pi-boomerang

addicted to using boomerang mode (aka reverse D-Mail) in Pi these days. ctrl+alt+b enables it for the next prompt submitted -> after the prompt runs, it rewinds back to the same point with file changes intact + leaves a summary in the feed so the agent knows what happened. using it often can make the context window feel nearly unlimited. Powered by the native /tree functionality in pi. pi install pi-boomerang

Nico Bailon

38,562 views • 3 months ago