Shadowing Practice: New FREE DeepSeek AI Coder is WILD! - Learn English Speaking with Video
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New, free, DeepSeq AI coder is wild.
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What if I told you there's a brand new AI coding agent that's completely free,
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uses DeepSeq V4 Pro and runs in seconds?
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No subscription, no credit card,
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no setup, and it might actually be faster than Claude Codes.
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So why is almost nobody talking about it?
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Stick around because what I'm about to show you is going to change the way you build stuff with AI.
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Hey, what's up?
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I'm the digital avatar of Julian Goldie and I help people learn and actually use AI tools in their real work.
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In this video, I'm going to walk you through this brand new free coding agent called FreeBuff.
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I'll show you the models it uses,
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the nine sub-agents built into it,
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what it can actually do,
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and how it compares to other tools.
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Stick with me, because near the end I'm going to share a tip
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that most people miss when they first start using these terminal coding agents.
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So let's get into what's actually happening.
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FreeBuff comes from the team behind CodeBuff,
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an open-source AI coding agent on GitHub.
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CodeBuff was the paid version.
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FreeBuff is the free version, same engine underneath.
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The way they keep it free is small text ads in the terminal while you work.
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No credit card, no trial timer, no paywall.
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And here's where it gets wild.
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Freebuff lets you pick from some of the best coding models on the planet right now.
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The main coding agent runs on DeepSeek V4 Pro,
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Kimi K2.6, Minimax M2.7, or DeepSeek V4 Flash.
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DeepSeek V4 Pro is the strongest.
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Kimi K2.6 has been crushing it on coding benchmarks.
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Minimax M2.7 and DeepSeek V4 Flash are your faster options for quick tasks.
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On top of that, Gemini 3.1,
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Flashlight handles file finding and web research in the background.
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And if you have a ChatGPT subscription,
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you can plug it in and Freebuff will use GPT 5.4 for deep thinking on harder problems.
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That's a stack of top tier models you'd normally pay a lot to access,
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all stitched together in one free tool.
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To install it, you just need NPM.
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Open your terminal and type NPM install dash G Freebuff.
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Then go into your project folder and type Freebuff.
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That's it, you're in.
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I tested this with a member of the AI Profit boardroom who wanted a landing page for a local service.
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Five minutes later they had a working page with a hero section,
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services list, testimonials, and a lead capture form.
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No code, written by hand.
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Now let me break down what Freebuff can actually do.
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It's not just a chat bot in your terminal, it's an agent.
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It reads your files, writes new ones,
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edits existing ones, runs terminal commands,
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and can open a real browser to test what it builds.
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And it suggests three clickable follow-up actions after almost every response,
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so you always know what to do next.
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That last part sounds small, but it's huge.
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Most AI tools leave you stuck,
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wondering what to do next.
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FreeBuff just hands you the next move.
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It also ships with nine specialized sub-agents.
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Each one has a job.
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The file picker scans your code base and finds the right files.
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The code reviewer looks over your changes and gives real feedback.
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The browser use sub-agent loads a page and checks the result.
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The planner maps out what needs to happen and in what order.
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The editor makes the precise edits.
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Instead of one model trying to do everything and getting confused,
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you've got a team of specialists working together.
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That's why the results are usually cleaner and faster.
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Think of it like building a house.
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You don't want one person doing the plumbing,
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the wiring, the framing, and the roof.
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You want specialists for each job.
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Same idea here.
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Each sub-agent stays in its lane,
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and the result is way tighter than what you'd get from a single model trying to juggle everything at once.
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Let me show you what Freebuff is actually good at.
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First, building websites from scratch.
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Type a prompt like, build me a landing page for a coffee shop in Sydney with a menu,
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a story section, and a contact form.
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Freebuff handles the layout, the styling,
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and makes sure it looks good on mobile.
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A member of the AI Profit Boardroom used this to spin
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up a portfolio site for their freelance work in about 15 minutes.
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Second, editing existing projects.
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Drop into a folder you've already started,
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mention a file by name,
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and ask Freebuff to refactor it,
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add a feature, or change the styling.
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Tell it to switch a color theme from green to baby blue,
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and it finds the right CSS variables,
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makes the swap, and shows you the result in a browser.
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Third, fixing bugs and reviewing code.
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Ask FreeBuff to look at a file and the code reviewer sub-agent will point out issues,
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suggest fixes, and explain why.
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Really useful when something almost works,
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but you can't figure out why it's broken fourth research
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while you build freebuff has built-in web research
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if you need to know how a library works
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or what the latest syntax is for a framework it pulls
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the answer back into your workflow without you switching tabs fifth
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planning bigger features there's a built-in interview command where you describe a vague idea
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and freebuff asks you smart questions before it starts coding then it builds based on your answers game changer for
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when you're not sure exactly what you want yet sixth building small apps
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and tools you can use freebuff to build a basic web app a chrome extension a small script
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that automates something on your computer
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or even a simple game you describe what you want freebuff plans it out picks the files writes the code
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and tests it i've seen members of the ai profit boardroom use this to build personal dashboards simple note-taking apps,
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and little utilities that save them time every day.
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The key is that you're not limited to one type of project.
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If it can be coded,
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Freebuff can take a swing at it.
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Now let me compare it to other tools.
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Claude Code is fast and the models are great,
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but you're locked to Anthropic and you need a paid plan.
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Codebuff, the paid parent of Freebuff,
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gives you a wider range of models through OpenRouter.
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Cursor is great, but it's a full IDE, not a terminal agent.
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Ada is free and open source,
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but you bring your own API keys,
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which means you're paying somebody for the model usage.
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Freebuff includes the models, lives in your terminal, and asks for nothing.
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If I had to pick one thing that makes Freebuff stand out,
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it's the lack of friction.
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One install command and you're coding.
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That's why this is going to be huge.
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Before I get to the tips, quick mention.
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Inside the AI Profit boardroom,
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we've been running through Freebuff with members in real time.
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We've got walkthroughs for installing it on Mac, Windows, and Linux.
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Step-by-step videos on how to use the nine sub-agents the right way coaching calls where members bring their actual projects
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and we work through them live using FreeBuff and the DeepSeek models.
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And a 30 day roadmap
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that takes you from never having touched a terminal coding agent to shipping your own apps with one.
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If that sounds like what you've been looking for,
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head over to AIProfitBoardroom.com and join us.
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Okay, now the tips.
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Here's what most people get wrong when they first use Freebuff.
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Tip one, start with the interview command.
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Type slash interview and let Freebuff ask you questions before you tell it to build anything.
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The output is 10 times better when you let it pull the details out of you first.
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Tip two, use file mentions.
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Tag a specific file in your prompt by referencing its name
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and Freebuff will focus on that file instead of trying to scan your whole project.
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Saves time and gives you cleaner edits.
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Tip 3.
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Pick the right model for the job.
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Use DeepSeek V4 or Flash or Minimax M2.7 for quick edits and styling.
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Switch to DeepSeek V4 Pro or Kimi K2.6 when you're tackling something complex like authentication,
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database logic or refactoring a big function.
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The smarter models take a bit longer but they get harder tasks.
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Right.
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Tip 4.
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Always run the code review a sub-agent before you ship.
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It catches stuff you'll miss.
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A member of the AI Profit Boardroom saved themselves hours of debugging
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because the reviewer flagged a logic error before the code ever ran.
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Tip 5.
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Treat Freebuff like a junior developer, not a magic box.
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Tell it what you want clearly.
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Give it feedback.
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Ask it to fix what's wrong.
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The more you talk to it like a real teammate,
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the better the output gets.
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If you want the full process,
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SOPs, and 100 plus AI use cases like this one,
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join the AI Success Lab.
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Links in the comments and description.
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You'll get all the video notes from there,
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plus access to our community of 58,000 members who are crushing it with AI.
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And one last thing, the moment you install Freebuff,
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you're going to want to build something.
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But the first project always hits a wall.
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Either the prompt isn't tight enough,
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or you pick the wrong model,
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or the sub-agents do something you didn't expect.
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That's where the AI Profit Boardroom comes in.
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We've got the exact prompt,
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templates that work with DeepSeek,
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v4 or pro inside free buff live coaching calls where you bring your project
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and get help on the spot tutorials on every one of the nine sub agents
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and which one to use for what and the roadmap
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that walks you through building your first three real projects with free buffs so you skip the wall
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ship faster and actually finish what you start head over to aiprofitboardroom.com and i'll see you on the inside
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Vocabulario y notas de pronunciación para esta lección
Esta lección de conversación de nivel C1 se basa en el vídeo “New FREE DeepSeek AI Coder is WILD!”. Las palabras que más se repiten: freebuff, agent, model, coding, file. Este vídeo tiene 180 frases y 1681 palabras para practicar shadowing. La parte hablada dura 8:06. El hablante habla rápido, unas 208 palabras por minuto, así que espera sonidos enlazados y reducidos. Solo el 78 % de las palabras está entre las 3.000 más comunes del inglés, por lo que el vocabulario es exigente.
Vocabulario clave de este vídeo
Las 15 palabras más avanzadas del vídeo, con su pronunciación y significado:
| Palabra | Pronunciación | Significado |
|---|---|---|
| prompt verbo | /pɹɑmpt/ | llevar a, concitar |
| reviewer sustantivo | reseñista, reseñante | |
| buff sustantivo | /bʌf/ | color del ante |
| folder sustantivo | /ˈfoʊldɚ/ | carpeta, fólder |
| subscription sustantivo | /səbˈskɹɪpʃən/ | abono, suscripción |
| scan verbo | /skæn/ | escrutar |
| authentication sustantivo | /ɔːˌθɛntɪˈkeɪʃn̩/ | autenticación |
| automate verbo | /ˈɔ.təˌmeɪt/ | automatizar |
| cursor sustantivo | /ˈkɜːsə/ | cursor |
| dashboard sustantivo | /ˈdæʃˌboɹd/ | tablero de instrumentos, salpicadero |
| flashlight sustantivo | /ˈflæʃˌlaɪt/ | linterna, foco |
| juggle verbo | /ˈd͡ʒʌɡəl/ | hacer malabarismos, malabarear |
| paywall sustantivo | /ˈpeɪ.wɔl/ | muro de pago, barrera de pago |
| refactor verbo | refactorizar | |
| refactoring sustantivo | refactorización |
Phrasal verbs que vas a escuchar
| Palabra | Significado |
|---|---|
| break down verbo | descomponerse, averiarse |
| figure out verbo | averiguar, captar |
| follow up verbo | dar seguimiento, dar un seguimiento |
| look over verbo | revisar |
| point out verbo | señalar, apuntar |
| run through verbo | resumir |
Gramática en este vídeo
Las estructuras que más usa el hablante, con las palabras exactas del vídeo:
| Estructura | En el vídeo |
|---|---|
| Present perfect continuous have/has been + -ing — una acción que empezó antes y continúa | has been crushing · we've been running · you've been looking |
| Present perfect have/has + participio pasado — una acción pasada que sigue importando ahora | you've already started · has built · i've seen |
Pronunciación a tener en cuenta
El hablante usa 29 contracciones y formas reducidas, como you're, I'm, we've. Dilas en su forma corta, tal como las oyes.
- Los sonidos de “th”: authentication /ɔːˌθɛntɪˈkeɪʃn̩/, walkthrough /ˈwɔːk.θɹuː/, underneath /ˌʌndɚˈniθ/
- Los sonidos de “sh” y “zh”: subscription /səbˈskɹɪpʃən/, authentication /ɔːˌθɛntɪˈkeɪʃn̩/, dashboard /ˈdæʃˌboɹd/, flashlight /ˈflæʃˌlaɪt/, specialize /ˈspɛʃəˌlaɪz/
- Palabras largas — cuida el acento: authentication /ɔːˌθɛntɪˈkeɪʃn̩/, testimonial /tɛstɪˈmoʊni.əl/
Sonidos difíciles para hispanohablantes:
- s + consonante al inicio — sin añadir una “e” delante: scan /skæn/, specialize /ˈspɛʃəˌlaɪz/, stitch /stɪt͡ʃ/, swap /ˈswɑp/, stack /stæk/
- /v/ — no es /b/: los dientes tocan el labio inferior: avatar /ˌæv.əˈtɑː(ɹ)/, vague /veɪɡ/
- /z/ — sonora, no /s/: browser /ˈbɹaʊ.zəɹ/, specialize /ˈspɛʃəˌlaɪz/
Cómo practicar con este vídeo
- Escucha el vídeo entero una vez sin hablar y anota las palabras que no conoces.
- Empieza a velocidad 0,75×, haz shadowing frase por frase y vuelve a la velocidad normal cuando te resulte fácil.
- Grábate y compara con el original, prestando atención a palabras como prompt, reviewer, buff.
¿Qué es la Técnica de Shadowing?
Shadowing es una técnica de aprendizaje de idiomas respaldada por la ciencia, desarrollada originalmente para la formación de intérpretes profesionales y popularizada por el políglota Dr. Alexander Arguelles. El método es simple pero poderoso: escuchas audio en inglés nativo y lo repites en voz alta de inmediato, como una sombra que sigue al hablante con solo 1-2 segundos de retraso. A diferencia de la escucha pasiva o los ejercicios de gramática, el shadowing obliga a tu cerebro y músculos de la boca a procesar y reproducir simultáneamente patrones de habla reales. Las investigaciones muestran que mejora significativamente la precisión de la pronunciación, la entonación, el ritmo, el habla conectada, la comprensión auditiva y la fluidez al hablar, convirtiéndola en una de las metodologías más efectivas para la preparación del IELTS Speaking y la comunicación en inglés en el mundo real.