GeeksDoByte

GeeksDoBytehttps://www.spreaker.com/podcast/geeksdobyte--7491075enTechnologyCopyright Rayen Kamtahttps://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/d6fa42590abc99cbd84c5fcb39c3a2ea.jpgGeeksDoBytehttps://www.spreaker.com/podcast/geeksdobyte--7491075Mon, 26 Oct 2026 10:12:33 +0000Rayen KamtaRayen Kamtamr.rayenk@gmail.comI'm Ryan, your host and resident software developer.This podcast is going to be a place where we talk about software development, AI, the tools we use, the things that frustrate us, and the occasional bit of absolute nonsense happening in the tech...falsef4b1f89f-ac39-53a8-8e82-6918f040a1eaepisodicEpisode 002: Stop Paying to Vibe Code. Learn to Own Your Stack.https://www.spreaker.com/episode/episode-002-stop-paying-to-vibe-code-learn-to-own-your-stack--75955965In Episode 2 of Geeks Do Byte, Rayen takes aim at the growing vibe coding culture and questions why developers with programming experience are paying for AI application builders instead of taking control of their own infrastructure.Lovable is a fantastic starting point for non-developers. But if you already know how to code, do you really need another subscription deciding your tech stack?We're talking Docker, PostgreSQL, MongoDB, API architecture, authentication, Supabase dependencies, AWS, Cloudflare, and the hidden costs of building applications you don't fully control.Ryan breaks down why starting with local development, understanding your infrastructure, and making deliberate technology choices could save you serious money as your application grows.The question: Are you building a scalable software business, or just stacking subscriptions until your app becomes too expensive to run?No AI hype. No unnecessary complexity. Just real developer opinions.🎙️ Geeks Do Byte — Real code. Real conversations. A little tech chaos.#GeeksDoByte #VibeCoding #Lovable #ClaudeAI #ChatGPT #Docker #Supabase #SoftwareDevelopment #AIProgramming #TechPodcast]]>https://api.spreaker.com/episode/75955965Sat, 24 Oct 2026 04:23:03 +0000Rayen KamtaEpisode 002: Stop Paying to Vibe Code. Learn to Own Your Stack.Are developers wasting money on Lovable when they're already paying for Claude or ChatGPT? In Episode 2 of Geeks Do Byte, Rayen takes aim at the growing vibe coding culture and questions...In Episode 2 of Geeks Do Byte, Rayen takes aim at the growing vibe coding culture and questions why developers with programming experience are paying for AI application builders instead of taking control of their own infrastructure.Lovable is a fantastic starting point for non-developers. But if you already know how to code, do you really need another subscription deciding your tech stack?We're talking Docker, PostgreSQL, MongoDB, API architecture, authentication, Supabase dependencies, AWS, Cloudflare, and the hidden costs of building applications you don't fully control.Ryan breaks down why starting with local development, understanding your infrastructure, and making deliberate technology choices could save you serious money as your application grows.The question: Are you building a scalable software business, or just stacking subscriptions until your app becomes too expensive to run?No AI hype. No unnecessary complexity. Just real developer opinions.🎙️ Geeks Do Byte — Real code. Real conversations. A little tech chaos.#GeeksDoByte #VibeCoding #Lovable #ClaudeAI #ChatGPT #Docker #Supabase #SoftwareDevelopment #AIProgramming #TechPodcast]]>1065ai,lovable,rayen,tokensfalse12fullEpisode 001: Am I Using AI Wrong… or Are You Just Burning Tokens?https://www.spreaker.com/episode/episode-001-am-i-using-ai-wrong-or-are-you-just-burning-tokens--75955771Welcome to the very first episode of Geeks Do Byte, hosted by Rayen, a software developer navigating the rapidly evolving world of AI and technology.In this episode, Ryan dives into a question that's been bothering him: How are developers maxing out their AI usage limits so quickly?While developers online talk about burning through tokens and hitting session limits, Ryan shares his experience using AI for real-world software development—from rewriting entire libraries to implementing changes across full repositories—all while having most of his daily AI usage allowance left.Are developers genuinely pushing AI to its limits, or are some just burning tokens without getting much done?We explore AI-assisted coding, developer productivity, prompt efficiency, and why understanding the code you ship still matters in an increasingly AI-powered world.In this episode:

Why some developers constantly hit AI usage limits
Using AI to refactor libraries and entire codebases
The difference between productive AI coding and endless prompting
Why AI isn't a replacement for software engineering fundamentals
Measuring productivity by what you build, not how many tokens you consume

Whether you're an experienced developer, an AI enthusiast, or just curious about the future of programming, join Rayen for an honest, slightly sarcastic conversation about building software in the age of AI.The big question: Are you actually building software, or just burning tokens?🎙️ Geeks Do Byte — Real code. Real conversations. A little tech chaos.#GeeksDoByte #ArtificialIntelligence #AICoding #SoftwareDevelopment #Programming #DeveloperPodcast #CodingWithAI #TechPodcast]]>https://api.spreaker.com/episode/75955771Sat, 24 Oct 2026 03:50:39 +0000Rayen KamtaEpisode 001: Am I Using AI Wrong… or Are You Just Burning Tokens? Welcome to the very first episode of Geeks Do Byte, hosted by Rayen, a software developer navigating the rapidly evolving world of AI and technology.In this episode, Ryan dives into a...Welcome to the very first episode of Geeks Do Byte, hosted by Rayen, a software developer navigating the rapidly evolving world of AI and technology.In this episode, Ryan dives into a question that's been bothering him: How are developers maxing out their AI usage limits so quickly?While developers online talk about burning through tokens and hitting session limits, Ryan shares his experience using AI for real-world software development—from rewriting entire libraries to implementing changes across full repositories—all while having most of his daily AI usage allowance left.Are developers genuinely pushing AI to its limits, or are some just burning tokens without getting much done?We explore AI-assisted coding, developer productivity, prompt efficiency, and why understanding the code you ship still matters in an increasingly AI-powered world.In this episode:

Why some developers constantly hit AI usage limits
Using AI to refactor libraries and entire codebases
The difference between productive AI coding and endless prompting
Why AI isn't a replacement for software engineering fundamentals
Measuring productivity by what you build, not how many tokens you consume