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What separates an “okay” build from a great one? In this episode, Jordan Lang (GovWorks) breaks down how strong solutions architecture starts with scope, measurable outcomes, and non-functional requirements, before the team burns time and budget. You’ll hear practical takes on Agile done poorly, MVP + metrics, tech debt as a business tradeoff, and why GovTech compliance (CJIS) changes the rules. Plus: two hot topics—, ngineer burnout from not seeing customer impact and the “AI in everything” buzzword trap.
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Estados Unidos
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OTROS EPISODIOS EN ESTE PODCAST
In this Tech Talks AI episode, In Time Tec software engineers and AI experts Dallen Pyrah and Tristan Johns break down what actually changed in AI throughout 2025, and what they believe is coming next in 2026.
They cover how Claude Code (and agentic workflows) are reshaping day-to-day development, …
How do you go from idea to launch without drowning in tools, timelines, and busywork? Ridhi Tatineni (CEO of Chelo Software Labs) and Skyler Simmons, Senior Partner Manager at In Time Tec, break down how founders and small businesses can prototype MVPs in hours, and use AI + automation to reclaim t…
What is UX, and why does it change everything from product adoption to development cost? In this Tech Talks episode, Oscar Gonzalez (In Time Tec Design Manager) and Camila Costales (UX Designer) break down a practical, human-centered design approach: aligning stakeholders around outcomes, choosing …
How is AI changing UX/UI without removing the human element? In Time Tec UX/UI Manager Oscar Gonzalez and UX Designer Don Elliot break down where AI truly helps (research, wireframes, prototyping, accessibility), what still requires human judgment, and how tools like Figma Make are accelerating mod…
AI is scaling faster than anything we’ve seen before—but what does “intelligence at scale” actually mean for developers, businesses, and everyday users? In this first episode of Tech Talks AI, In Time Tec engineers Dallen Pyra and Tristan Johns unpack human vs machine intelligence, AGI vs ASI, why …
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EDITAR
Gracias por ayudar a mantener actualizada la base de datos de podcasts.
