KakaComputer : Weekly Guide for IT Insights

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>> Episodes Drop Tuesday and Thursday Morning >> "🎙️ Dive into the digital world with KakaComputer! 💻 Your go-to podcast for tech tips, IT insights, and the latest in computing. Whether you're a newbie or a pro, we've got something for everyone. Tune in and level up your tech game!"

  1. 126 - Beyond the Code Thriving in IT Without Being a Developer

    HÁ 1 DIA

    126 - Beyond the Code Thriving in IT Without Being a Developer

    Software development is a team sport, and this episode shines a light on the crucial roles outside of coding. We celebrate the professionals—from QA testers and technical writers to product owners and support specialists—who ensure technology is functional, reliable, and user-ready. Our guests discuss career paths, the unique skill sets needed, and how non-developers directly drive the success of a product.

    22min
  2. 125 - Engineering Culture: Building Teams That Build Great Things

    HÁ 3 DIAS

    125 - Engineering Culture: Building Teams That Build Great Things

    The best code is built by the best teams. This episode explores the vital role of engineering culture in driving success. We discuss how high-performing teams foster trust, handle constructive conflict, and establish psychological safety, moving beyond just technical excellence. Our guests share actionable strategies for leaders and members to cultivate an environment where collaboration thrives.

    18min
  3. 124 - Empathy by Design: How Human-Centered Tech Drives Change

    5 DE NOV.

    124 - Empathy by Design: How Human-Centered Tech Drives Change

    On this episode, we have Ryana Que, Jaime Hing III, and Dominique Villafuert joining us to discuss "Empathy by Design" and how human-centered tech drives meaningful change. We dive into the philosophy of human-centered design, where technology is built with the user's real-world context and needs in mind. This episode explores how empathy leads to more inclusive and impactful products, discussing the difference between building something that works and building something that genuinely serves humanity.  How can engineers and designers actively build empathy for users whose backgrounds are vastly different from their own? (Generalization) Engineers and designers can actively build empathy through immersive research and intentional exposure. This involves moving beyond simple surveys to conduct field studies, contextual interviews, and "shadowing" users in their natural environments. Another effective technique is persona creation that includes socioeconomic, cultural, and technological access details, forcing the team to design for constraints they don't personally share. Furthermore, incorporating diverse users into the testing and feedback loops—not just at the end, but throughout the design process—is crucial for recognizing and mitigating personal biases. What is one non-obvious example of a product where a lack of empathy led to a critical failure? (Generalization) One non-obvious example is the early design of some biometric or facial recognition systems that exhibited much higher error rates for individuals with darker skin tones. The failure wasn't malicious, but a lack of empathy in the training data—the developers, often unconsciously, used datasets that disproportionately featured lighter-skinned individuals. This lack of inclusive data empathy led to a critical failure where the technology was effectively less functional and inherently biased against a significant portion of the global population, causing ethical and practical failures. In the race for speed, how do teams ensure they don't sideline inclusivity and accessibility checks? (Generalization) To prevent sidelining these checks, teams must integrate them as non-negotiable, automated steps within the development pipeline. This means adopting a "shift left" approach, where accessibility and inclusivity are baked into the definition of "done" for every feature, not treated as a final-stage QA step. Utilizing automated accessibility tools in continuous integration and making compliance with global standards (like WCAG) a core requirement for code review ensure these checks are a fundamental part of speed, rather than a separate hurdle. What role does thoughtful design play in mitigating the negative ethical or social impacts of new technology? (Generalization) Thoughtful design serves as the first line of defense against negative ethical and social impacts. It involves proactively considering the "worst-case scenario" or unintended consequences of a product—not just how it can be used, but how it could be misused. By employing ethical design principles (e.g., designing friction to slow down harmful actions, prioritizing privacy by default, and making AI decisions transparent), designers can build guardrails into the user experience. This helps steer user behavior toward positive outcomes and minimizes opportunities for misuse or social manipulation.

    15min
  4. 123 - From Side Project to System Change: The Power of Passion Projects

    3 DE NOV.

    123 - From Side Project to System Change: The Power of Passion Projects

    On this episode, we have Ryana Que, Waffen Sultan, Paolo Mahomuri, and Josan Astrid Dometita joining us to discuss building for impact beyond the 9-to-5 through passion projects and community-driven innovation. Not all great tech starts in the office — sometimes it begins as a personal itch to solve a problem. In this episode, we explore how passion projects, volunteer work, and community-driven innovation can evolve into tools that impact citizens, businesses, and government. Hear how simple curiosity, grit, and a desire to help can scale into mission-driven technology with real-world influence.

    18min
  5. 122 - Code for the People: Inside the BetterGov Movement

    29 DE OUT.

    122 - Code for the People: Inside the BetterGov Movement

    On this episode, we have Ryana Que, Andrew Concepcion, and Waffen Sultan joining us to discuss "Code for the People: Inside the BetterGov Movement" and how open-source developers are reshaping digital governance in the Philippines. The Philippines' digital infrastructure has long been a source of frustration for its citizens, with outdated websites and confusing processes creating barriers to essential services. We explore the BetterGov Movement, a grassroots, volunteer-driven initiative using open-source technology to build a more user-friendly and transparent national government portal. We talk to these civic tech advocates about turning citizen frustration into collaborative action. What was the specific moment of frustration that compelled you to stop waiting and start building BetterGov.ph? (Generalization) The compelling moment of frustration is typically an experience with a broken or confusing government online service. This often involves a simple task, like checking requirements for a document or finding an official form, that becomes unnecessarily complicated by outdated websites, broken links, or conflicting information. The realization is that the problem isn't technical complexity, but a lack of user-centric design and cohesion. This leads to the thought, "If I can build a better user interface in a weekend, imagine what a community could do," thus starting the initiative. How do you maintain quality and consistency when the entire project is built and maintained by volunteers? (Generalization) Maintaining quality in a volunteer project relies heavily on strong processes, clear governance, and community culture. This involves strictly enforcing code review standards, utilizing continuous integration tools to automate quality checks, and maintaining comprehensive, accessible documentation. Consistency is ensured by establishing a design system and style guide early on. Crucially, the community culture must prioritize learning and mutual respect, where constructive feedback is the norm and veteran volunteers mentor newcomers to ensure code quality is a shared responsibility. What is the biggest lesson the government could learn from an open-source, community-led project like this? (Generalization) The biggest lesson is the power of transparency and iterative development. The community model thrives on open communication, allowing citizens to see progress, suggest improvements, and hold the project accountable. This contrasts with traditional government projects that are often opaque. By embracing open-source principles, the government could learn to launch early, iterate based on user feedback (citizens), and leverage the collective intelligence of the nation's developer pool to rapidly improve essential digital services. What is the biggest challenge of working with public data and making it truly accessible to the non-technical Filipino citizen? (Generalization) The biggest challenge is the poor quality and fragmented nature of the source data. Government data often resides in silos, lacks standardization, is not machine-readable, or is simply outdated. Making it accessible requires more than just displaying it on a website; it means translating complex bureaucratic language into simple, actionable information and designing user interfaces that require zero technical skill to navigate. The difficulty lies in sanitizing and unifying disparate data sources so the non-technical citizen can easily find definitive answers to their essential questions.

    18min

  6. 27 DE OUT.

    121 - Hackathons and the Art of Failing Forward

    Winning isn't the only goal. This episode is for everyone who is nervous about joining their first hackathon. While most people talk about how to win, we're focused on what you can learn from losing. We'll share our own stories of not winning and explain why it's not a failure, but a crucial step toward building new skills, expanding your network, and setting yourself up for future

    19min

  7. 22 DE OUT.

    120 - Building for Market Fit: Startups, AI, and Product Design

    Highlighting expertise in early-stage product dev, market fit, prototyping, and AI. On this episode, we have Jon Prado, Grahssel Dungca, Andresito De Guzman and Luis Maverick Gabriel joining us to discuss the tough but rewarding process of finding product-market fit and the keys to early-stage product development in startups, especially those leveraging AI. Startups succeed or fail on whether their product actually meets a market need. This episode explores the tough but rewarding process of finding product-market fit, especially in AI and tech-driven products. Guests share stories about prototyping, iterating, and pivoting—plus insights on what early teams often miss. What’s a mistake you’ve made (or seen) in chasing product-market fit? (Generalization) A common and costly mistake is building too much, too soon, based on assumptions rather than validated customer needs. This is often called "solution looking for a problem." Startups might spend months polishing a comprehensive feature set without properly validating whether customers would actually pay for the core value proposition. This leads to wasted resources and a painful realization that the market doesn't value the complexity. The right approach is to focus on a Minimum Viable Product (MVP) to quickly test the core hypothesis. How does AI change the prototyping and product design process? (Generalization) AI dramatically accelerates the prototyping and product design process by providing powerful new capabilities. It allows teams to prototype features that were previously impossible, such as real-time personalization, predictive user flows, or complex data analysis. AI tools also enable rapid iteration on design itself by generating wireframes, code snippets, or content variations. However, it also introduces complexity, requiring designers to think about data input, model explainability, and ethical implications from the earliest design stages. For startups, how do you know when it’s time to pivot vs. persist? (Generalization) Knowing when to pivot versus persist often comes down to analyzing key performance indicators (KPIs) and the conviction of the founding team. You should persist if your core hypothesis is sound, but your execution or market timing is slightly off, showing gradual positive traction. You should pivot if you are seeing continuous low engagement, high churn, or if your customer interviews consistently reveal that your solution doesn't solve a high-priority problem for them. The decision to pivot is generally made when the data shows that the current path is financially unsustainable or leads to a dead-end market. What’s one tool or framework you recommend for early-stage teams? (Generalization) The most highly recommended framework for early-stage teams is the Lean Startup Methodology. This framework emphasizes the Build-Measure-Learn feedback loop, which is essential for quickly achieving product-market fit. It forces teams to prioritize validated learning over pure feature development. Key tools that support this framework include simple prototyping tools for quick MVPs and robust analytics platforms for accurately measuring user behavior and validating or refuting core assumptions.

    17min

  8. 20 DE OUT.

    119 - Empathy in Innovation: Building Tech That Protects and Serves

    Why empathy-driven design and security must go hand in hand. On this episode, we have Asi Guiang, Piolo Justin Cabigao, Kayne Rodrigo, and Ted Mathew Dela Cruz joining us to discuss empathy in innovation and why building secure tech requires a human-centric approach. Technology is meant to serve people, but what happens when it makes them vulnerable? In this episode, we're exploring the critical connection between empathy and cybersecurity. We’ll discuss why understanding a user's fears and needs is the key to building secure and ethical tech. Our guests will share how a human-centric approach to design can protect people from online threats and build trust in the digital world. How does empathy help you anticipate user vulnerabilities that security protocols might miss? (Generalization) Empathy helps anticipate user vulnerabilities by forcing you to see the product through the eyes of the person using it, not just the code. It allows you to understand their real-world context, common stressors, and behavioral patterns. For example, a security protocol might enforce a complex password, but empathy recognizes a tired user will write it down or reuse a similar one. By considering the "human element"—their lack of specialized knowledge, potential for distraction, or motivation to take shortcuts—empathy reveals vulnerabilities that purely technical audits would overlook, leading to more practical and effective security solutions. Can you give an example of a product that failed because it lacked empathy in its security design? (Generalization) A common example is two-factor authentication (2FA) systems that are difficult, slow, or constantly interruptive to the user's workflow. While technically secure, a system that lacks empathy for the user's time and convenience may lead to widespread user adoption failure. Users might disable the feature, choose the least secure option (like SMS), or simply become so frustrated they avoid using the secure system altogether. This failure isn't technical; it's a failure of adoption caused by prioritizing technical rigidity over a smooth user experience, ultimately leaving the user vulnerable. What's one practical step developers can take to include empathy in their security practices? (Generalization) One practical step is to adopt the practice of "persona-based threat modeling." Instead of only modeling threats from sophisticated malicious actors, developers should create personas for their actual users (e.g., a time-crunched manager, a non-technical senior) and model threats based on user mistakes and common vulnerabilities. This involves asking, "How might this person accidentally expose data?" This approach shifts the focus from purely stopping hackers to building fewer opportunities for user error, making the security inherently more resilient and user-friendly. How can we train the next generation of tech professionals to prioritize both innovation and user safety? (Generalization) We can train the next generation by integrating ethics and user-centric security into the core curriculum, rather than treating them as add-on courses. Every project, from the start, should include mandatory requirements for both security and usability reviews. Creating interdisciplinary teams composed of designers, developers, and security experts during academic and early career projects helps them learn to speak the same language. This teaches them that security and empathy are not blockers to innovation, but rather foundational requirements for building trustworthy and sustainable technology.

    19min
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>> Episodes Drop Tuesday and Thursday Morning >> "🎙️ Dive into the digital world with KakaComputer! 💻 Your go-to podcast for tech tips, IT insights, and the latest in computing. Whether you're a newbie or a pro, we've got something for everyone. Tune in and level up your tech game!"

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