Dev Different

CodeBuddy

A new perspective on software development.  Brought to you by the team @ Codebuddy.

  1. JAN 31

    How Ugly Starts Lead to Billion-Dollar Companies

    Download the MVP Workbook for FREE @ www.codebuddy.com/library In this episode of the Dev Different podcast, Tanner Lytle and Devin Seacrest discuss the essential elements of building a Minimum Viable Product (MVP). They explore the importance of desirability, feasibility, and profitability in product development, emphasizing the need to start with an 'ugly' version of a product to validate ideas before investing heavily. Through case studies of successful companies like Amazon and Dropbox, they illustrate how starting small and iterating based on customer feedback can lead to significant success. The conversation also touches on Kodak's failure to adapt to digital photography and the importance of identifying and serving low-value customers that larger companies often overlook. In this conversation, Devon and Tanner explore the essential stages of building a startup, focusing on the importance of testing desirability and feasibility before launching a product. They discuss various methods for validating ideas, such as landing pages, concierge services, crowdfunding, and competitor analysis. The conversation also emphasizes the significance of usability testing, funding strategies, and the iterative nature of product development, highlighting that many successful entrepreneurs have faced failures before achieving success. Takeaways:   •  Building an MVP is crucial for aspiring founders.   •  Desirability, feasibility, and profitability are key components of an MVP.   •  Starting with an 'ugly' product can lead to better feedback.   •  Many successful companies pivot multiple times before finding product-market fit.   •  Testing desirability can be done with minimal investment.   •  Understanding your audience is essential for success.   •  Legacy companies often ignore low-value customers.   •  Iterating based on customer feedback is vital for product development.   •  You don't need to be profitable immediately to validate an idea.   •  Research and understanding the market are critical before building.  High-growth investors often view breaking even as a red flag.   •  Landing pages can effectively gauge interest in a product.   •  Concierge services allow for early revenue and product testing.   •  Crowdfunding can validate a product idea before full development.   •  Competitor testing helps identify market gaps and user needs.   •  Feature stubs can test market interest without full product development.   •  Usability testing is crucial for ensuring product feasibility.   •  Funding strategies should prioritize external sources over personal savings.   •  Prototyping should start with low-fidelity designs for better feedback.   •  The journey of entrepreneurship often involves multiple pivots and iterations.

    51 min

  2. 12/02/2024

    Empowering Future Engineers with AI - Dr. Bonita Sharif

    Human-Computer Interaction, Requirements Engineering, AI in Software Development, Co-Creation, User Stories, Software Engineering, Developer Productivity, Software Requirements, Digital Twins, Software Design, AI, education, software engineering, ethics, learning, critical thinking, innovation, user stories, technology addiction, teaching methods ------ In this episode of the Dev Different podcast, Hunter and Dr. Bonita Sharif discuss the critical fields of Human-Computer Interaction (HCI) and Requirements Engineering. They explore the impact of AI on software development, emphasizing the importance of collaboration between academia and industry. Dr. Sharif shares insights on the challenges students face in understanding requirements and the significance of co-creation sessions with clients to foster shared understanding. The conversation also touches on the future of user stories and the potential role of AI in enhancing this process. In this conversation, Hunter and Bonita explore the intersection of AI, education, and ethics in software engineering. They discuss the potential of AI to assist in training future engineers, the importance of critical thinking and fundamentals in education, and the ethical responsibilities of software engineers in the age of AI. They emphasize the need for a shift in educational paradigms to foster innovation and the acceptance of failure as a crucial part of the learning process. Takeaways:   •  AI is transforming software development and is here to stay.  •  Human-computer interaction is crucial for understanding developer productivity.  •  Co-creation sessions with clients enhance shared understanding of requirements.  •  Writing down requirements is a form of thinking and helps clarify ideas.  •  Students struggle with deriving requirements from textual information. The complexity of software has increased significantly over the years.  •  Intent behind requirements is often difficult to articulate.  •  Developers need to consider their own human limitations in the development process.  •  Prioritization of requirements is essential for project success.  •  AI can assist in creating user stories but should not replace human creativity. Training high schoolers to evaluate user stories is feasible.  •  AI will not replace jobs but will change how we work.  •  Ethical considerations in AI are paramount for software engineers.  •  Education should focus on critical thinking and fundamentals.  •  Students often prioritize grades over genuine learning.  •  Innovation requires permission to fail and change direction.  •  AI can assist but should not replace human understanding.  •  The marketing of AI often misrepresents its true potential.  •  Understanding the ethical implications of technology is crucial.  •  Education should evolve to meet the needs of society. Chapters: 00:00:01 - Introduction and Guest Background 00:02:29 - Importance of Human-Computer Interaction and Requirements Engineering 00:03:07 - The Changing Landscape of Software Engineering 00:06:19 - Challenges Faced by Students in Software Development 00:09:34 - The Role of AI in Software Development 00:13:16 - The Concept of Digital Twins 00:15:22 - Potential Uses of AI in Meetings 00:18:55 - Understanding Requirements Engineering 00:22:17 - The Importance of Co-Creation Sessions 00:28:29 - The Role of AI in Creating User Stories 00:33:03 - The Role of AI in Education 00:36:22 - The Misrepresentation of AI in Media 00:39:20 - The Ethical Obligations of AI 00:40:10 - The Impact of Technology Addiction 00:45:09 - The Role of Ethics in Education 00:47:03 - Revamping Education in Software Engineering 00:50:46 - The Role

    59 min

  3. 11/08/2024

    Can AI Replace Human Designers? Deep Dive with CodeBuddy's Creative Lead

    In this episode of the Dev Different podcast, Hunter and Ross dig deep into the multifaceted world of design, exploring its essence, the impact of AI on design processes, and the evolution of design methodologies. They discuss how design is not just about aesthetics but about solving problems and creating meaningful experiences. The conversation highlights the importance of innovation in design and how new tools are reshaping the landscape for designers and developers alike. Takeaways:   •  Design is everywhere, influencing our daily experiences.   •  The essence of design lies in problem-solving and user experience.   •  AI is transforming the design process, automating grunt work.   •  The relationship between designers and developers is evolving with new tools.   •  Design should be integrated from the beginning of the development process.   •  Innovation in design is crucial for creating impactful products.   •  The storytelling layer of design is as important as the functional layer.   •  Rapid iteration in design leads to better outcomes.   •  Trust and collaboration between designers and developers enhance the design process.   •  The future of design will be shaped by creativity and technology. Chapters: 00:00 Introduction to Design and Its Importance 09:05 The Evolution of Design Tools and AI's Role 18:02 The Future of Design: Automation vs. Human Creativity 25:41 The Evolution of Design Processes 29:50 Retrospective Design: A New Paradigm 35:24 The Role of Prototyping in Design 42:30 Embracing Innovative Technologies in Design

    47 min

  4. 10/29/2024

    Can AI Be Truly Fair? A Deep Dive into Ethics and Bias with Dr. Deepak Khazanchi

    In this conversation, Dr. Deepak Khazanchi discusses the evolving landscape of AI education, emphasizing the need for multidisciplinary approaches that integrate ethics, philosophy, and technical skills. He highlights the importance of fairness in AI development, the necessity of explainability in AI outcomes, and the role of human oversight in mitigating biases and unintended consequences. The discussion also touches on the rapid advancements in AI technology and the challenges they present in terms of responsibility and governance. In this conversation, Dr. Deepak Khazanchi discusses the intersection of AI, education, and research, highlighting the challenges faced by educational institutions in accessing computational resources for AI research. He emphasizes the importance of supporting teachers and addressing the digital divide that affects students' access to technology. The conversation also touches on the unintended consequences of AI, the need for responsible AI development, and the evolving nature of work in the age of automation. Takeaways:   •  AI education must adapt to rapid technological changes.   •  Multidisciplinary approaches are essential for AI education.   •  Fairness in AI requires equitable outcomes for all.   •  Explainability in AI is crucial for user trust.   •  Implicit biases can influence AI development processes.   •  Human oversight is necessary to ensure responsible AI use.   •  AI is fundamentally based on statistical methods.   •  Understanding AI's unintended consequences is vital.   •  Collaboration across disciplines enhances AI education.   •  The future of AI involves integrating ethics into technology.    •  AI can enhance research capabilities in educational institutions.   •  There is a significant need for better computational resources in research.   •  Supporting teachers is crucial for the future of education.   •  The digital divide remains a pressing issue in education.   •  AI will not completely replace human jobs, but will change them.   •  Unintended consequences of AI must be considered in development.   •  Transparency and fairness in AI systems are essential.   •  Education must adapt to the changing nature of work due to AI.   •  Access to technology is critical for equitable education.   •  AI can be a force for good if developed responsibly. Links for pages mentioned in the episode: https://spectrum.ieee.org/ieee-usa-ai-regulation-guide https://www.artificial-intelligence-act.com/ https://digitaldemocracy.calmatters.org/bills/ca_202320240sb1047 https://unsceb.org/principles-ethical-use-artificial-intelligence-united-nations-system Chapters: 00:00:01 - Introduction 00:00:19 - Guest Introduction: Dr. Deepak Kazanchi 00:02:12 - Discussion on AI Degree at UNO 00:04:19 - The Future of Education in AI 00:07:51 - AI's Development Philosophy 00:10:00 - Responsibility in AI Development 00:15:11 - AI and Ethics 00:15:35 - Transparency and Explainability in AI 00:16:17 - Fairness in AI Development 00:17:20 - AI and Misinformation 00:18:02 - AI and Representation 00:18:40 - AI and Bias 00:19:16 - AI and Truth 00:19:52 - AI and Fairness 00:20:47 - AI and Information Retrieval 00:23:33 - AI and Procedural Fairness 00:25:18 - AI and Implicit Bias 00:27:35 - AI and Governance 00:28:32 - AI and Unintended Consequences 00:30:47 - AI in Medical Research 00:31:21 - Challenges in AI Research and Development 00:33:40 - AI in Infrastructure Health 00:37:00 - AI Education and Transparency 00:38:39 - AI and Education Funding 00:39:22 - The Importance of Education 00:42:24 - AI in Personalized Education 00:43:10

    1h 2m

  5. 10/03/2024

    Skyler Reising's SECRET to Becoming a Software Engineer

    In this episode, Skyler Reising shares his unique journey from being a high school counselor to becoming a software engineer. He discusses the challenges he faced during his transition, the importance of networking, and the role of mentorship in his career growth. Skyler highlights his experience with the 100 Devs coding bootcamp and the Pathways program, emphasizing the significance of community and structured learning. The conversation also explores the impact of AI on education and the future of software development, as well as the balance between traditional learning methods and modern resources like ChatGPT. Takeaways:   •  Skyler transitioned from a high school counselor to a software engineer.   •  He learned coding through the 100 Devs bootcamp on YouTube.   •  Networking played a crucial role in his job search.   •  The Pathways program provided structured learning and job opportunities.   •  Mentorship significantly impacted his growth as a developer.   •  AI tools can enhance learning but should not replace foundational skills.   •  Soft skills are essential in the tech industry.   •  Different paths to becoming a developer exist, including self-taught and formal education.   •  The future of education in tech may shift towards shorter, intensive programs.   •  Starting early in tech can lead to greater opportunities. software engineering, career transition, coding bootcamp, networking, AI in education, mentorship, learning process, developer paths, education future, soft skills

    51 min

  6. 09/23/2024

    Are you ready for an AI-driven future?

    In this conversation, Hunter, Devon, & Tanner discuss the current state of AI technology, particularly focusing on OpenAI's new reasoning model, O1. They explore the implications of AI on society, the economy, and the job market, emphasizing the need for responsible development and the potential risks associated with AI. The discussion also touches on the balance between technological advancement and human values, the role of capitalism in driving innovation, and the importance of user experience in AI applications. Ultimately, the speakers express a cautious optimism about the future of AI and its impact on various aspects of life. Takeaways:   •  The hype surrounding AI technology is often overblown.   •  OpenAI's O1 model has sparked significant discussion about AI's future.   •  AI development should prioritize societal benefits over corporate interests.   •  Capitalism plays a crucial role in driving AI innovation.   •  The job market will evolve as AI becomes more integrated into workflows.   •  User empathy will be essential in AI applications.   •  AI can enhance communication but also create challenges.   •  The balance between technology and humanity is critical for future development.   •  Investments in AI are becoming increasingly costly and concentrated.   • Future work will require higher skill levels due to AI advancements. Chapters: 00:00 Introduction and AI Hype 02:59 OpenAI's O1 Model and Its Implications 05:52 The Role of AI in Society 08:56 Concerns Over AI Development 11:56 Capitalism and AI Innovation 15:03 The Future of AI and Job Market 18:05 AI's Impact on Communication 20:57 Navigating AI in Business 24:00 User Experience and AI 26:50 The Balance of Technology and Humanity 30:07 Conclusion and Final Thoughts

    45 min

  7. 09/16/2024

    OpenAI o1 is here! Is it any good?

    Tanner and Hunter discuss the newly released OpenAI O1 model, focusing on its multi-step reasoning capabilities and implications for software engineering. They explore the evolution of AI models, the importance of prompt engineering, and how AI can bridge knowledge gaps for non-technical users. The discussion also touches on the future of software engineering, the shift towards task-specific AI models, and the impact of AI on job markets, emphasizing the need for engineers to adapt to changing demands in the industry. Takeaways:   •  OpenAI's O1 model introduces multi-step reasoning capabilities.   •  Prompt engineering is crucial for effective AI interaction.   •  AI can help bridge knowledge gaps for non-technical users.   •  The future of software engineering will require new skills.   •  Task-specific AI models are becoming more prevalent.   •  AI's impact on job markets is significant and evolving.   •  Software engineers need to adapt to changing industry demands.   •  AI can enhance productivity but may disrupt traditional roles.   •  The evolution of AI models is rapid and transformative.   •  Understanding AI's limitations is essential for effective use. Chapters: 00:01 - Introduction and Overview of O1 00:53 - Opinions and Initial Reactions 04:38 - Limitations and Potential Misuse 08:23 - Changes in Interacting with AI 09:21 - Nuance in AI and the Future 12:58 - Cost Considerations and Control 14:27 - Concerns on Transparency 20:24 - AI's Reinforcement Learning and Contextual Understanding 25:47 - AI's Role in Rapid Technological Evolution 27:40 - AI's Impact on Expectations and Entitlement 31:38 - Impact of AI on Job Security 33:09 - Fear and Change in Software Engineering 35:11 - The Changing Role of Junior Engineers 36:32 - The Disappearing Moat of Technical Knowledge 38:33 - Closing Thoughts and Listener Engagement

    39 min

  8. 09/06/2024

    Usability testing & building the right software features

    Recorded on 10/06/2024 at the Heartland Developers Conference (HDC) in Omaha, NE.  Download the presentation workbook for FREE @ www.codebuddy.com/library Unlock the secrets of successful software development with Devon Seacrest, co-founder and CEO of CodeBuddy. In this presentation, Devon shares invaluable insights on customer usability testing and building the right features for your product. Learn why investing in usability testing can yield a 100x return on investment and discover the psychological barriers that prevent honest customer feedback. We'll explore cutting-edge techniques like Wizard of Oz testing, competitor analysis, and unmoderated testing to help you build products that truly resonate with your users. From startup founders to enterprise software developers, this video is packed with actionable strategies to ship faster, reduce costs, and create products your customers will love. 5 Key Takeaways:   •  Psychological safety is crucial for obtaining honest customer feedback   •  Usability testing with just 3-5 users can reveal 86% of user issues   •  Balance listening to customers with visionary innovation   •  Use a mix of qualitative and quantitative testing methods   •  Implement a structured usability testing process for continuous improvement Chapters: 00:01 - Introduction 00:48 - The Problem with Our Startup 01:45 - The Importance of Usability Testing 02:03 - About the Speaker 02:47 - Why Building the Right Features Matters 03:28 - Visionary Delight 03:41 - Why Building the Right Features is Hard 04:08 - Psychological Safety 07:22 - Projection Bias 10:31 - Conflict of Interest 15:57 - Balancing Innovation and Iterative Improvements 16:34 - Introduction to Testing Models 18:12 - Qualitative vs Quantitative Testing 19:35 - Deep Dive into Usability Testing 24:47 - Usability Testing Script 28:16 - Post Usability Testing Steps 29:52 - Iterative Usability Testing 30:27 - Q&A Session 31:22 - Selecting Participants for Usability Testing 31:45 - Role of UI/UX Team in Usability Testing 32:34 - Frequency of Usability Testing 33:12 - Choosing Between Expert and Novice Users for Testing 34:47 - Usability Testing for Internal Business Tools 35:31 - Closing Remarks usability testing, software development, product management, customer feedback, user experience, startup strategies, feature development, A/B testing, NPS surveys, psychological safety, competitor analysis, innovation, MVP, agile development, lean startup

    36 min
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About

A new perspective on software development.  Brought to you by the team @ Codebuddy.

Information

  • Creator
    CodeBuddy
  • Years Active
    2024 - 2025
  • Episodes
    15
  • Rating
    Explicit
  • Copyright
    © 2025 Dev Different
  • Show Website
    Dev Different