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AI Coding

14 articles tagged AI Coding.

  1. · The Pragmatic Engineer Podcast · 6 min read

    Performance Architecture and the AI Coding Shift

    Casey Muratori argues that software performance is a critical architectural decision, not a late-stage optimization. This analysis explores the shift from hotspot tuning to theoretical peak modeling, the impact of licensable game engines on market saturation, and the emerging psychological effects of AI coding mandates on developer autonomy.

  2. · INNOQ Podcast · 4 min read

    AI Coding Risks and Product Discipline

    AI assisted coding changes product strategy, engineering governance, and leadership accountability. The risks include feature overload, fragmented systems, and low quality automation. Actionable guidance covers conceptual integrity, discovery, and stronger validation for AI generated software.

  3. · The AI Daily Brief (Formerly The AI Breakdown): Artificial Intelligence News and Analysis · 6 min read

    AI Safety Pauses, Open Weights, and Agentic Graph Engineering

    OpenAI delayed its Astra model after evaluations raised cyber-risk concerns, while ByteDance reportedly pursues a frontier-scale training run. The episode also examines open-weight licensing, revenue-sharing models, and Anthropic's shift to autonomous coding defaults. Graph engineering emerges as a framework for designing multi-agent organizations. These developments affect enterprise AI strategy, procurement, and operational risk.

  4. · How I AI · 5 min read

    Agentic Coding Workflow for Non-Technical Founders

    Dan Roth demonstrates a dual-agent AI workflow using Claude Code to build production-grade iOS apps without traditional engineering skills. This strategy leverages specialized builder and reviewer personas to ensure code quality and security. The approach highlights the shift from technical execution to strategic oversight in the age of generative AI.

  5. · The Changelog: Software Development, Open Source · 5 min read

    AI Coding Agents and Security Risks

    Analysis of GPT 5.4's impact on agent workflows, the security vulnerabilities inherent in AI-recommended dependencies, and the shift toward local-first privacy tools. This brief highlights the operational risks of relying on LLMs for code generation and the emerging market for local speech-to-text and haptic web interfaces.

  6. · Latent Space: The AI Engineer Podcast · 5 min read

    Cursor Cloud Agents: Parallelism and Video-First Review

    Cursor launches cloud agents with full VM access, video-based code review, and parallel execution. This analysis details the shift from autocomplete to autonomous software engineering, highlighting the strategic pivot to throughput over latency and the new operational bottlenecks in AI-driven development.

  7. · Lenny's Podcast: Product | Growth | Career · 5 min read

    AI Agents Reshape Software Engineering and Product Strategy

    Boris Cherney, Head of Claude Code at Anthropic, discusses the rapid adoption of AI coding agents, the shift from manual coding to agentic workflows, and strategic frameworks for building products on general-purpose models. The analysis covers productivity metrics, the concept of latent demand, and the future of job roles in tech.

  8. · How I AI · 5 min read

    Vercel V0: Scaling AI Coding to Production

    Vercel's CEO details how V0 integrates Git workflows and production-grade infrastructure to bridge the gap between AI prototyping and enterprise deployment. The discussion highlights the emergence of skills.sh as a standard for agentic best practices and the strategic shift toward democratizing code ownership across non-technical teams.