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The Software Engineering Podcast with Fexingo: Code, Architecture, and Engineering Best Practices

The Software Engineering Podcast with Fexingo: Code, Architecture, and Engineering Best Practices

Written by: Fexingo
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Lucas and Luna sit down at side-by-side laptops to talk about the craft of building software. Each episode picks a single engineering challenge — optimizing a database query for latency, designing a fault-tolerant microservice boundary, refactoring a legacy monolith without breaking production — and walks through the trade-offs with real code examples and benchmark numbers. They debate testing strategies (integration vs. end-to-end, when to mock), revisit classic papers on distributed systems and data structures, and trace how architectural decisions cascade into operational costs. The show serves senior developers, staff engineers, and technical leads who want to hear reasoned, specific conversations about trade-offs and rigor — not hype about the latest framework. Lucas brings the journalist's habit of asking why a team chose one pattern over another; Luna pushes back with real-world failure stories from her own career. Together, they treat software engineering as a discipline of explicit decisions and measurable outcomes. No hot takes, no 'best practices' without context. Just two engineers thinking out loud about how to build systems that last. What does it actually cost to ship a feature with 99.99% uptime — and when is that the wrong target? #SoftwareEngineering #SystemArchitecture #CodeQuality #DistributedSystems #DatabaseOptimization #Refactoring #TestingStrategy #Microservices #Monolith #PerformanceEngineering #CleanCode #TechDebt #EngineeringCulture #PairProgramming #FexingoBusiness #BusinessPodcast #Technology #EngineeringBestPractices Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. Economics
Episodes
  • How Engineers Stop Writing Code To Ship Faster
    Oct 18 2026
    In this episode, we explore the counterintuitive strategy of 'code reduction' adopted by high-performing engineering teams at companies like Stripe and GitHub. Instead of measuring velocity by lines of code added, leaders are now incentivizing developers to delete legacy systems, merge duplicate microservices, and embrace configuration over custom builds. We break down why reducing technical debt is the single fastest way to improve deployment frequency and system reliability in October 2026. Learn how to identify your own 'code bloat' and start deleting what doesn't serve your users. #SoftwareEngineering #CodeReduction #TechnicalDebt #DeveloperExperience #Microservices #Stripe #GitHub #EngineeringCulture #SystemDesign #LegacyCode #DevOps #PlatformEngineering #SustainableGrowth #CodeQuality #ArchitectureDecisions #FexingoBusiness #BusinessPodcast #TechTrends Keep every episode free: buymeacoffee.com/fexingo
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    10 mins
  • How GitHub Copilot Quietly Rewrote Developer Workflows
    Oct 17 2026
    We explore the hidden shift in engineering culture since AI coding assistants became mainstream. Instead of just speeding up syntax, these tools are changing how teams review code, handle technical debt, and manage knowledge transfer. We look at specific data on adoption rates, the rise of 'prompt engineering' as a core skill, and why some top-tier engineering leaders are now measuring success by how well their team integrates AI suggestions rather than raw output volume. This isn't about replacing developers; it is about redefining what 'good code' looks like in an age of machine assistance. #SoftwareEngineering #ArtificialIntelligence #DeveloperExperience #TechCulture #ProductivityTools #CodeReview #MachineLearning #FutureOfWork #EngineeringLeadership #TechnicalDebt #AgileMethodology #DevOps #AIAssistants #CodingBestPractices #FexingoBusiness #BusinessPodcast #TechTrends2026 #LucasAndLuna Keep every episode free: buymeacoffee.com/fexingo
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    9 mins
  • How Stripe Fixed Developer Experience
    Oct 13 2026
    We explore how Stripe transformed its internal engineering culture by treating developers as customers. The conversation focuses on the shift from fragmented tooling to a unified internal developer platform, specifically looking at how they reduced cognitive load and standardized APIs across thousands of services. We examine the concrete metrics behind their success, including the reduction in deployment times and the elimination of redundant infrastructure costs. This episode breaks down the strategic decision to build an abstraction layer that allows engineers to focus on product logic rather than operational overhead. #Stripe #InternalDeveloperPlatform #EngineeringCulture #CognitiveLoad #DevEx #SoftwareArchitecture #TechLeadership #PlatformEngineering #APIDesign #InfrastructureAsCode #FexingoBusiness #BusinessPodcast #TechNews #StartupGrowth #ProductivityHacks #SystemDesign #EnterpriseTech #EngineeringBestPractices Keep every episode free: buymeacoffee.com/fexingo
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    9 mins
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