Category: development Episodes

Most recent episodes from podcasts in the development category.

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Showing 221-230 of 630

318 - Adam Dawkins, CTO of Dragon Drop thumbnail

Code with Jason

318 - Adam Dawkins, CTO of Dragon Drop

9 Apr 2026

Scaling Ruby on Rails projects faces challenges from rigid conventions that hinder flexibility, requiring intentional architecture, refactoring, and modular design to counter pitfalls like short-term solutions, poor testing, and overreliance on inheritance, while promoting collaboration through shared terminology and practical strategies.

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The Agentic Economy: How AI Agents Will Transform the Financial System with Circle Co-Founder and CEO Jeremy Allaire thumbnail

No Priors - AI, Technology, Startups

The Agentic Economy: How AI Agents Will Transform the Financial System with Circle Co-Founder and CEO Jeremy Allaire

9 Apr 2026

Circle aims to build a digital financial infrastructure using programmable money and blockchain, inspired by Bitcoin, emphasizing stablecoins like USDC, Austrian economics principles, full-reserve banking, and the integration of blockchain, AI, and tokenized assets to enable global value transfer, microtransactions, and new economic paradigms while addressing regulatory and scalability challenges.

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Mobile App Security with Ryan Lloyd thumbnail

Software Engineering Daily

Mobile App Security with Ryan Lloyd

9 Apr 2026

Mobile app security in critical sectors like banking, healthcare, and finance faces unique challenges such as reverse engineering and runtime tampering, requiring measures like code obfuscation, RASP, and API attestation, while addressing threats from LLMs, fraud, and third-party vulnerabilities through layered defenses and proactive testing.

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Sahaj Garg on Designing for Ambiguity in Human Input thumbnail

Software Engineering Radio

Sahaj Garg on Designing for Ambiguity in Human Input

8 Apr 2026

Ambiguity in language and speech, arising from context, phrasing, and incomplete information, poses challenges for AI systems due to their limited context processing, while humans resolve it through contextual cues, tone, and prior knowledge, with strategies focusing on contextual prompts, audio training, data augmentation, and balancing AI efficiency with human-like adaptability in multilingual and ethical contexts.

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DHHs new way of writing code thumbnail

The Pragmatic Engineer

DHHs new way of writing code

8 Apr 2026

David Heinemeier Hansson shifts from critiquing AI coding tools to embracing an AI-first approach at 37signals, emphasizing Ruby on Rails' token efficiency, Omachi's user-friendly design, AI-driven productivity, evolving developer roles, and the balance between automation and craftsmanship in software innovation.

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994: AI Sucks At CSS thumbnail

Syntax - Tasty Web Development Treats

994: AI Sucks At CSS

8 Apr 2026

AI in web development faces challenges like generating inefficient CSS, struggling with modern design systems, and producing homogenized or aesthetically poor outputs, requiring human oversight for nuanced creativity, debugging, and balancing AI tools with technical expertise to address performance, security, and design quality gaps.

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Extreme Harness Engineering for Token Billionaires: 1M LOC, 1B toks/day, 0% human code, 0% human review  Ryan Lopopolo, OpenAI Frontier & Symphony thumbnail

Latent Space

Extreme Harness Engineering for Token Billionaires: 1M LOC, 1B toks/day, 0% human code, 0% human review Ryan Lopopolo, OpenAI Frontier & Symphony

7 Apr 2026

AI integration in product development, such as Codex, automates coding tasks, reduces manual effort, and enables zero-code tools, while addressing challenges like adapting build systems, balancing automation with human oversight, systems thinking for observability, agent autonomy in code review, and maintaining human control in enterprise settings.

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Getting Humans Out of the Way: How to Work with Teams of Agents thumbnail

MLOps.community

Getting Humans Out of the Way: How to Work with Teams of Agents

7 Apr 2026

Recommended: An optimistic view of using Agentic AI with safeguards.

AI agents streamline software development through tools like pixel diff analysis, automated reporting, and annotated walkthroughs, addressing challenges in accuracy, code quality, and workflow adaptation while redefining human roles as validation overseers and collaborators in autonomous systems.

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Showing 221-230 of 630