Polyglot Software Development

Krish Palaniappan and Varun Palaniappan
Polyglot Software Development

We’ve been doing Software Development and Architecture work for a while at Snowpal, and currently have several B2B and B2C products in production. In this podcast, we’ll share our experiences on a regular basis to help you & your teams build great software. The topics covered in this podcast will include Product Management, Project Management, Architecture, Development, Deployment, Security, Release Management, Sales, Marketing, Advertising, and just about everything else an ambitious, fast growing startup based out of the US is likely to be involved in. So, join us. Let’s become better!

  1. -8 H · VIDÉO

    (Part 2) Exploring No Code Development Platform: Bubble (feat. Xan Hong)

    In this episode, ⁠Xan Hong⁠, a no-code development expert, guides ⁠Krish Palaniappan⁠ through the process of building a simple to-do application using Bubble. They explore the user interface, create workflows, and discuss the transition from web-based to native app development. The conversation emphasizes practical application, collaboration, and the importance of getting a functional product up and running before focusing on aesthetics. They explore the Bubble platform, discussing its no-code capabilities, data management, plugin integrations, and design systems. They reflect on the learning curve associated with Bubble, the potential for AI integration, and the future of no-code platforms in the context of evolving technology. The discussion highlights practical applications, user experiences, and the importance of adapting to new tools in software development. Takeaways • No-code development can significantly reduce costs for clients. • Understanding the user interface is crucial for effective app development. • Starting with a functional prototype is more important than aesthetics. • Bubble allows for both web and native app development. • Dynamic elements enhance user interaction in applications. • Workflows are essential for managing data and user actions. • Testing and debugging are critical steps in the development process. • Collaborative development can enhance the learning experience. • Data management is key to maintaining application functionality. • User feedback is vital for refining app features. • Bubble allows users to create applications without writing code. • Understanding the platform’s structure is crucial for effective use. • Data management in Bubble includes both data and metadata. • Plugins enhance functionality but vary in quality. • Design systems can be created and reused within Bubble applications. • APIs can be integrated to extend application capabilities. • The learning curve for Bubble can be steep for new users. • AI integration presents new challenges for no-code platforms. • Building meaningful projects can enhance the learning experience. • No-code platforms are evolving with the introduction of AI technologies. Chapters 00:00 Introduction to No Code Development02:55 Exploring Bubble's User Interface05:52 Creating a To-Do Application09:10 Understanding Native App Development with Bubble11:58 Dynamic Elements and User Interaction15:07 Workflow Creation and Data Management17:52 Testing and Debugging the Application20:47 Collaborative Development and Sharing24:01 Data Management and Deletion Functionality38:49 Navigating the Bubble Platform40:46 Understanding Data Management and Metadata42:49 Exploring Plugins and Third-Party Integrations45:35 Design Systems and Reusability in Bubble48:30 Connecting APIs and Backend Functionality53:44 Recap of Building a To-Do App55:11 Reflections on No-Code Development01:01:43 The Learning Curve of Bubble01:08:14 The Future of AI in No-Code Platforms

    1 h 20 min
  2. -8 H · VIDÉO

    (Part 1) Exploring No Code Development Platform: Bubble (feat. Xan Hong)

    In this episode, ⁠Xan Hong⁠ shares his journey into the world of no-code development, highlighting the challenges faced by non-technical founders and the flexibility offered by platforms like Bubble. The conversation explores the evolving landscape of software development, the importance of creativity in problem-solving, and the impact of no-code solutions on traditional development roles. San emphasizes the need for adaptability in a rapidly changing technological environment and discusses the value of a well-rounded skill set in today’s market. They delve into the intricacies of no-code platforms, particularly focusing on Bubble. They discuss backend workflows, API integration, and the advantages of no-code solutions for MVP development. The conversation also explores how no-code platforms can be utilized in various business contexts, from startups to large enterprises, and the future landscape of software development in relation to AI-generated code. Xan shares real-life case studies demonstrating the effectiveness of no-code solutions, while Krish raises thought-provoking questions about the evolving role of coding in the tech industry. Takeaways • No-code platforms like Bubble can save significant development costs. • Learning data structuring is crucial for using no-code tools effectively. • Bubble offers flexibility but has a steeper learning curve than other platforms. • Creativity is essential in problem-solving with no-code solutions. • Developers may feel threatened by the rise of no-code tools. • Adaptability is key in the fast-changing tech landscape. • A combination of business and technical skills is valuable in development. • Clients appreciate understanding their needs during the development process. • Problem-solving skills are more important than technical skills alone. • No-code platforms can expose backends as APIs. • No backend server is needed for user management. • No-code solutions can significantly reduce development time. • Enterprises can save millions by transitioning to no-code. • Startups can validate ideas quickly using no-code tools. • No-code platforms are more accessible for non-technical users. • AI-generated code may not always be the best solution for MVPs. • The perception of no-code limitations is often exaggerated. • Education in tech is shifting towards practical problem-solving. • No-code tools can complement traditional coding practices. Chapters 00:00 Introduction to No-Code Development02:57 San's Journey into No-Code Development06:02 Challenges of Starting Without a Technical Background08:54 Exploring No-Code Platforms: Bubble vs Others11:57 The Flexibility and Limitations of No-Code Solutions14:54 Creativity in Problem Solving with No-Code17:56 The Impact of No-Code on Traditional Development21:01 Navigating the Future of Software Development23:53 The Value of a Well-Rounded Skill Set27:07 Client Perspectives on No-Code Development30:04 Hands-On with Bubble: Features and Functionality38:41 Exploring Backend Workflows and API Integration45:10 Understanding No-Code Solutions for MVP Development50:14 No-Code Platforms in Different Business Contexts54:47 The Future of No-Code vs. AI-Generated Code01:08:56 Closing Thoughts on No-Code and Personal Insights

    1 h 13 min
  3. -5 J · VIDÉO

    Exploring AWS AI Products

    In this conversation, ⁠Krish Palaniappan⁠ discusses the evolving landscape of AI and software development in 2025. He emphasizes the need for adaptability in engineering roadmaps due to rapid changes in technology. The discussion highlights the importance of collaborative learning in AI, exploring AWS tools, understanding different AI models, and preparing for the future of software development. Krish encourages listeners to engage in this learning journey together, regardless of their current expertise level. Takeaways The landscape of AI is rapidly changing, requiring constant adaptation. Collaborative learning is essential for effective software development. AWS offers a vast array of tools that can be overwhelming but beneficial. Understanding the differences between AI models is crucial for application. Software development must evolve to incorporate new technologies and methodologies. It's important to learn with a purpose to effectively apply knowledge. Engaging with new tools can lead to innovative solutions. Different career stages influence how individuals approach learning AI. Gen Z brings fresh perspectives to software development. Continuous learning is vital in the tech industry. Chapters 00:00 Embracing Change in AI Development 02:50 Learning Together: The Journey of AI Exploration 06:08 Navigating AWS and AI Tools 09:02 Understanding AI Models and Their Applications 11:51 The Future of Software Development in AI

    16 min
  4. 18/12/2024 · VIDÉO

    [Paid Course] Snowpal Education: Day Trading Stocks - Part 2

    In this course, Krish Palaniappan delves into the advanced strategies of day trading, building upon the foundational knowledge from the previous course. He emphasizes the importance of understanding the risks involved in trading, the process of selecting securities, and the significance of structuring one's trading day effectively. The course also covers the creation of portfolios tailored to trading strategies and the various methods for picking stocks based on market sentiment and news. Additionally, Krish discusses the challenges of multitasking while day trading and offers insights on how to manage time effectively during trading hours. Takeaways Trading carries significant risks and is not suitable for everyone. Picking the right stock is a complex process. Structure your trading day into manageable sessions. Create portfolios to track specific industries or stocks. Market sentiment can influence trading decisions. Discipline is crucial for successful trading. You can choose to focus on one stock or multiple stocks. Multitasking can complicate active trading. Define your trading strategy based on your availability. Setting alerts is crucial for staying informed about market changes. Too many alerts can create unnecessary noise in trading. Understanding whether to buy or short is vital for trading success. Trusting your instincts or hunches can influence trading outcomes. Trading rules should be flexible and adaptable to changing circumstances. Dollar cost averaging can be applied to day trading strategies. Implementing stop losses is essential to minimize potential losses. Market volatility can significantly impact trading decisions. High trading volume often correlates with increased market activity. Flexibility in trading strategies is necessary for long-term success. Chapters 00:00 Introduction to Day Trading Level 2 01:31 Understanding the Risks of Trading 03:26 Picking Securities for Day Trading 06:53 Structuring Your Trading Day 16:28 Creating Portfolios for Trading 20:16 Strategies for Picking Stocks 25:05 Multitasking in Day Trading 28:16 Setting Alerts for Trading 30:06 Understanding Trade Direction 32:39 The Importance of Hunches in Trading 34:33 Fluidity of Trading Rules 39:12 Investment Amount and Dollar Cost Averaging 40:11 The Role of Stop Losses 43:25 Market Volatility and Its Impact 51:00 Trading Volume and Its Significance 56:04 Recap and Next Steps Purchase course in one of 2 ways: 1. Go to https://getsnowpal.com, and purchase it on the Web 2. On your phone:     (i) If you are an iPhone user, go to http://ios.snowpal.com, and watch the course on the go.     (ii). If you are an Android user, go to http://android.snowpal.com.

    1 min
  5. 18/12/2024 · VIDÉO

    [Paid Course] Snowpal Education: Day Trading Stocks - Part 1

    This course on day trading introduces the concept, its risks, and the demographics of those who engage in it. The instructor emphasizes the importance of understanding the basics of day trading, the reasons individuals choose to day trade, and the inherent risks involved. The course aims to provide practical insights and strategies for potential day traders. This conversation delves into the intricacies of day trading, exploring its demographics, challenges, and the journey from side income to full-time trading. It discusses the importance of opening a brokerage account, understanding investment strategies, and the implications of taxation. The speaker emphasizes the need for establishing trading habits and rules to navigate the complexities of day trading effectively. Takeaways Day trading is a form of speculation in securities. A day trader buys and sells financial instruments within the same trading day. Only a small percentage of day traders make a living from it. Many day traders quit within the first month. Day trading can provide extra income alongside a full-time job. The risks of day trading include time constraints and market volatility. Emotional stress is a significant factor in day trading. Understanding the demographics of day traders is important. The course aims to cover various aspects of day trading in multiple parts. Investing directly in stocks can be more rewarding than mutual funds. Day trading is predominantly male-dominated, with 90% of participants being men. A significant 40% of day traders quit within the first month. Only 13% of day traders remain active after three years, highlighting the challenges of the profession. The success rate is extremely low, with only one in a hundred succeeding over five years. Approximately 0.002% of the American population engages in day trading, indicating its niche nature. Due diligence is crucial before committing to day trading. Starting with paper trades is recommended to minimize risk. A margin account requires a minimum of $25,000 to engage in pattern day trading. Investors should only use money they can afford to lose in day trading. Short-term capital gains from day trading are taxed at a higher rate than long-term investments. Chapters 00:00 Introduction to Day Trading 03:02 Understanding Day Trading Basics 06:14 Who Engages in Day Trading? 12:06 Reasons for Day Trading 16:13 Risks Associated with Day Trading 29:47 Future Courses 31:40 Understanding Day Trading Demographics and Challenges 36:52 The Journey to Day Trading: Side Income vs Full-Time 39:30 Opening a Brokerage Account: Requirements and Considerations 44:36 Investment Strategies: Money Management and Risk 52:19 Tax Implications and Regulations in Day Trading 55:44 Establishing Trading Habits and Rules Purchase course in one of 2 ways: 1. Go to https://getsnowpal.com, and purchase it on the Web 2. On your phone:     (i) If you are an iPhone user, go to http://ios.snowpal.com, and watch the course on the go.     (ii). If you are an Android user, go to http://android.snowpal.com.

    1 min
  6. 18/12/2024 · VIDÉO

    [Paid Course] Snowpal Education: Basics of Product Management

    In this conversation, Krish Palaniappan introduces the fundamentals of product management through a practical example using the Snowpal web application. The discussion focuses on the implementation of a Kanban board feature, emphasizing the importance of communication between product managers and engineering teams. Key topics include defining requirements, user management of project lists, and the functionalities that should be supported in the Kanban mode. The conversation highlights the iterative nature of product development and the need for clear, actionable requirements to ensure successful feature implementation. Takeaways Product management involves practical application rather than just theory. Effective communication between product managers and developers is crucial. Understanding user needs is essential for feature development. Requirements should be clear and actionable for successful implementation. User management of project lists is a key functionality. The Kanban board enhances project management capabilities. Iterative feedback is important for refining features. Collaboration between teams accelerates product development. Defining user actions helps in creating a better user experience. Reusing existing components can simplify feature implementation. Initial conversations are crucial for aligning product and engineering teams. Iterative development allows for flexibility and responsiveness to user feedback. User experience should be prioritized to avoid overwhelming users with complexity. Clear communication and defined actions help prevent project delays. Understanding user actions is essential for effective UI design. API integration is a key component of modern software development. Assumptions should be minimized to reduce rework and inefficiencies. Collaboration between teams enhances productivity and project outcomes. Using existing libraries can save time and resources in development. Regular feedback loops are vital for successful product iterations. Chapters 00:00 Introduction to Product Management Basics 02:54 Exploring the Snowpal Web Application 05:58 The Kanban Board Feature Discussion 09:14 Initial Conversations Between Product and Engineering Teams 11:55 Defining Requirements for the Kanban Board 15:11 User Management of Project Lists 18:01 Actions and Functionalities in Kanban Mode 25:00 Initial Conversations and Actions 28:50 Understanding User Actions and Functionality 31:12 Iterative Development and User Experience 34:03 Creating Project Lists and User Interactions 39:01 Managing User Actions and API Integration 45:39 Finalizing Features and Team Collaboration Purchase course in one of 2 ways: 1. Go to https://getsnowpal.com, and purchase it on the Web 2. On your phone:     (i) If you are an iPhone user, go to http://ios.snowpal.com, and watch the course on the go.     (ii). If you are an Android user, go to http://android.snowpal.com.

    1 min
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À propos

We’ve been doing Software Development and Architecture work for a while at Snowpal, and currently have several B2B and B2C products in production. In this podcast, we’ll share our experiences on a regular basis to help you & your teams build great software. The topics covered in this podcast will include Product Management, Project Management, Architecture, Development, Deployment, Security, Release Management, Sales, Marketing, Advertising, and just about everything else an ambitious, fast growing startup based out of the US is likely to be involved in. So, join us. Let’s become better!

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