[Next Vibe Coding] Step 2: The Implementation, Review, and PR Workflow—Verify AI-Generated Code Before Trusting It

Do the results of vibe coding keep turning out differently from what you intended? Learn a workflow that uses specification-driven development (SDD) and Spec Kit to define goals, scope, business rules, and completion criteria, then shares the same specifications with Claude Code and Codex to reduce repetitive revisions.

From server setup to blog and YouTube automation, build a complete AI workflow with n8n. We will practice creating a stable operating environment, covering Contabo VPS-based server installation, Ubuntu/Docker/Portainer environment setup, domain connection, and HTTPS security configuration. The course covers Search API and file server development using FastAPI and Docker, Airtable and n8n integration, building blog AI agents, and image/video automation. You will be able to complete a profit-generating automation strategy that can be immediately applied to actual service operations.

This is the definitive course on Claude Code. We’ll delve into how and why Claude Code works all the way to the end, teach you how to apply the components of harness engineering yourself, and even dissect publicly available production code firsthand. Take the know-how of a developer with 10+ years of industry experience and become a key talent in the age of AI agents.

An era where even IT beginners can become the 'CEO of their own platform' with just an idea, utilizing AI and Gnuboard! We will demonstrate the actual development process in detail, from planning to deployment, and even share various monetization methods such as advertising and shopping malls. Start your online business right now!

It's okay if you don't know a single line of code. We are now in the era of 'Vibe Coding,' where you develop by 'conversing' with AI.

Have you ever regretted focusing only on notes instead of making eye contact, or failing to accurately record meeting details after an important client meeting? Don't worry anymore! In this lecture, we'll help you build your own CRM assistant using Vibe Coding to summarize key information with AI and neatly save meeting content. You'll learn how to drastically reduce cumbersome document creation time, maximize work productivity, and revolutionize customer management!

The first publicly released ChatGPT open source GPT-OSS - Get a taste of it faster than anyone else. Learn what GPT-OSS is and run it locally to create an overwhelming advantage with GPT-OSS faster than anyone else!

AI agents, the latest trend in generative AI! How to stay ahead with Cursor, which handles all your development tasks, and MCP, which expands its capabilities!

This is a practice-oriented course for experienced developers with a computer science background transitioning to the latest AI technology stack. From the design to the implementation of LLM-based applications, you will establish AI solution adoption strategies by leveraging existing software engineering knowledge. Rebuild your career by integrating traditional development experience with modern AI technology.

Go beyond a simple system prompt to build an AI character chatbot that remembers users and whose relationship with them evolves, using persona design and Structured Outputs. In this 30-minute hands-on session, you’ll learn how to safely call the OpenAI API based on the provided starter project, process emotions, trust levels, and memories in a verifiable format using JSON Schema and Zod, and use an AI coding agent within defined constraints.

Learn the entire process of running the latest Gemma 4 model directly on your MacBook without the burden of paid API costs. You will master performance maximization techniques using Apple Silicon's Metal API and optimal parameter settings for different VRAM capacities, while gaining the ability to build production-level local AI infrastructure based on FastAPI.

Write meeting minutes, build apps, and even create videos—all on a single platform. Become an AI multiplayer with Google AI Studio!

Building an MVP with AI is no longer difficult. However, most projects stop at the next stage. 👉 You’ve built the features 👉 But development doesn't continue Why does this happen? The problem isn't the code; 👉 It's because there is no structure that allows AI to work continuously. --- In this course, based on an existing project, 👉 We will cover the process of building a structure 👉 That allows AI to continue development on its own. --- Instead of simply using AI tools, we will: * Create a docs structure * Define the SSOT (Single Source of Truth) * Execute development on a per-ticket basis * Connect QA and iteration cycles 👉 To complete a single "AI Development System." --- Through this process, you will: 👉 Create a structure where development continues 👉 Even without a human manually coding. In other words, you can: 👉 Build and understand a development system 👉 That operates AI like a team. --- This course is designed for: 👉 Those who want to build a structure applicable to their projects immediately 👉 Those who started development with AI but found it difficult to sustain 👉 Those who want to move to the next level after "Vibe Coding" --- Beyond just learning, we provide an experience where you: 👉 Take action 👉 Build a structure that actually works 👉 And walk away with a framework you can apply to your own projects.

"Beyond Data Analysis: From Predictive Model Design to Optimization (29 Lectures in Total)" Have you finished your data analysis but feel stuck when it actually comes to building a model? We help you fully master not just how to call libraries, but the working principles of each algorithm and optimal model validation strategies.

From coding basics to launching your own app all at once?! The App Build All-in-One, connecting fundamentals and practical application.

AI agents can feel vague, right? We’ll share practical problem-solving know-how from real-world experience, covering everything from prompts and loops to graph engineering systems.

AI proficiency determines your salary. Leave the tedious, repetitive tasks you do every day to AI. 'Almost Everything About Work Automation' teaches you how to create an automation system that handles your work on its own with just a few clicks, even without any coding knowledge. You will be freed from boring paperwork and data organization, and transform into an 'AI-savvy professional' who stays ahead of others.

Do you still code manually these days? We are now in an era where even "vibe coding" feels like a chore! Become an AI automation expert with n8n, no coding required. A guide to designing automation workflows that can be applied immediately to real-world tasks. Practical automation strategies to maximize work efficiency. Build intuitive workflows with n8n and experience a revolution in the way you work.

We will summarize the theoretical concepts of MNIST, the most fundamental dataset in computer vision, and learn how to implement it using Torchvision's API as well as how to implement a custom dataset class directly.

The purpose is to improve, compared with last year, awareness campaigns that are not defined in the regulations and often end merely with the distribution of promotional gifts, by referring to best practices from various organizations, given the current situation in which the performance of events and campaigns such as Information Security Day or Personal Information Protection Day, held monthly or annually, is gradually declining. These events must now move beyond gift-distribution activities organized by the Information Security Team and become events in which all employees participate and uphold security together. It is necessary to build mutual understanding through the establishment of a communication system for embedding security into the organization. Ultimately, employees must have a good understanding of information security and the Personal Information Protection Act so that the organization can realistically protect itself from hacking and insider threats. Since the departments other than the Security Team—including those responsible for commissioning various projects, managing entrusted service providers, controlling applications and security settings, planning various informatization projects, and conducting IT audits—are designated to take overall responsibility, the Security Team is distributing security-related tasks among the respective departments. However, the current situation is that each department is merely expressing dissatisfaction. This opportunity should therefore be used to move away from that situation, as internal consultative bodies alone are insufficient. Security-related scoring criteria must be reflected in the powerful personnel evaluation system. Through unannounced audits, those who fail to comply should be disciplined through pay reductions or suspension, while those who properly observe security requirements and demonstrate achievements in support of security should receive substantial financial rewards through an incentive system. Security must be embedded in the organization so that employees take the initiative themselves. Accordingly, department and individual evaluation KPIs should be adjusted through a report to the CEO under the direction of the CISO. In addition, through a system for designating department-level information security officers and personnel in charge, the organization should strengthen its human security framework against hacking and information leakage—including the leakage of documents managed by each department and the management of service providers—by providing position allowances for these responsibilities.