SummaryIn this episode of the AI Engineering Podcast Will Vincent, Python developer advocate at JetBrains (PyCharm), talks about how AI utilities are revolutionizing software engineering beyond basic code completion. He discusses the shift from "vibe coding" to "vibe engineering," where engineers collaborate with AI agents through clear guidelines, iterative specs, and tight guardrails. Will shares practical techniques for getting real value from these tools, including loading the whole codebase for context, creating agent specifications, constraining blast radius, and favoring step-by-step plans over one-shot generations. The conversation covers code review gaps, deployment context, and why continuity across tools matters, as well as JetBrains' evolving approach to integrated AI, including support for external and local models. Will emphasizes the importance of human oversight, particularly for architectural choices and production changes, and encourages experimentation and playfulness while acknowledging the ethics, security, and reliability tradeoffs that come with modern LLMs.Announcements<ul><li>Hello and welcome to the AI Engineering Podcast, your guide to the fast-moving world of building scalable and maintainable AI systems</li><li>When ML teams try to run complex workflows through traditional orchestration tools, they hit walls. Cash App discovered this with their fraud detection models - they needed flexible compute, isolated environments, and seamless data exchange between workflows, but their existing tools couldn't deliver. That's why Cash App rely on Prefect. Now their ML workflows run on whatever infrastructure each model needs across Google Cloud, AWS, and Databricks. Custom packages stay isolated. Model outputs flow seamlessly between workflows. Companies like Whoop and 1Password also trust Prefect for their critical workflows. But Prefect didn't stop there. They just launched FastMCP - production-ready infrastructure for AI tools. You get Prefect's orchestration plus instant OAuth, serverless scaling, and blazing-fast Python execution. Deploy your AI tools once, connect to Claude, Cursor, or any MCP client. No more building auth flows or managing servers. Prefect orchestrates your ML pipeline. FastMCP handles your AI tool infrastructure. See what Prefect and Fast MCP can do for your AI workflows at <a href="https://www.aiengineeringpodcast.com/prefect" target="_blank">aiengineeringpodcast.com/prefect</a> today.</li><li>Unlock the full potential of your AI workloads with a seamless and composable data infrastructure. Bruin is an open source framework that streamlines integration from the command line, allowing you to focus on what matters most - building intelligent systems. Write Python code for your business logic, and let Bruin handle the heavy lifting of data movement, lineage tracking, data quality monitoring, and governance enforcement. With native support for ML/AI workloads, Bruin empowers data teams to deliver faster, more reliable, and scalable AI solutions. Harness Bruin's connectors for hundreds of platforms, including popular machine learning frameworks like TensorFlow and PyTorch. Build end-to-end AI workflows that integrate seamlessly with your existing tech stack. Join the ranks of forward-thinking organizations that are revolutionizing their data engineering with Bruin. Get started today at <a href="https://www.aiengineeringpodcast.com/bruin" target="_blank">aiengineeringpodcast.com/bruin</a>, and for dbt Cloud customers, enjoy a $1,000 credit to migrate to Bruin Cloud.</li><li>Your host is Tobias Macey and today I'm interviewing Will Vincent about selecting and using AI software engineering utilities and making them work for your team</li></ul>Interview<ul><li>Introduction</li><li>How did you get involved in machine learning?</li><li>Software engineering is a discipline that is relatively young in relative terms, but does have several decades of history. As someone working for a developer tools company, what is your broad opinion on the impact of AI on software engineering as an occupation?</li><li>There are many permutations of AI development tools. What are the broad categories that you see?<ul><li>What are the major areas of overlap?</li></ul></li><li>What are the styles of coding agents that you are seeing the broadest adoption for?</li><li>What are your thoughts on the role of editors/IDEs in an AI-driven development workflow?</li><li>Many of the code generation utilities are executed on a developer's computer in a single-player mode. What are some strategies that you have seen or experimented with to extract and share techniques/best practices/prompt templates at the team level?</li><li>While there are many AI-powered services that hook into various stages of the software development and delivery lifecycle, what are the areas where you are seeing gaps in the user experience?</li><li>What are the most interesting, innovative, or unexpected ways that you have seen AI used in the context of software engineering workflows?</li><li>What are the most interesting, unexpected, or challenging lessons that you have learned while working on developer tooling in the age of AI?</li><li>When is AI-powered the wrong choice?</li><li>What do you have planned for the future of AI in the context of Jetbrains?</li><li>What are your predictions/hopes for the future of AI for software engineering?</li></ul>Contact Info<ul><li><a href="https://www.linkedin.com/in/william-s-vincent/" target="_blank">Will Vincent</a></li></ul>Parting Question<ul><li>From your perspective, what are the biggest gaps in tooling, technology, or training for AI systems today?</li></ul>Closing Announcements<ul><li>Thank you for listening! Don't forget to check out our other shows. The <a href="https://www.dataengineeringpodcast.com" target="_blank">Data Engineering Podcast</a> covers the latest on modern data management. <a href="https://www.pythonpodcast.com" target="_blank">Podcast.__init__</a> covers the Python language, its community, and the innovative ways it is being used.</li><li>Visit the <a href="https://www.aiengineeringpodcast.com" target="_blank">site</a> to subscribe to the show, sign up for the mailing list, and read the show notes.</li><li>If you've learned something or tried out a project from the show then tell us about it! Email hosts@aiengineeringpodcast.com with your story.</li><li>To help other people find the show please leave a review on <a href="https://podcasts.apple.com/us/podcast/the-machine-learning-podcast/id1626358243" target="_blank">iTunes</a> and tell your friends and co-workers.</li></ul>Links<ul><li><a href="https://www.jetbrains.com/" target="_blank">JetBrains</a></li><li><a href="https://simonwillison.net/" target="_blank">Simon Willison</a></li><li><a href="https://simonwillison.net/2025/Oct/7/vibe-engineering/" target="_blank">Vibe Engineering Post</a></li><li><a href="https://github.com/features/copilot" target="_blank">GitHub Copilot</a></li><li><a href="https://agents.md/" target="_blank">AGENTS.md</a><ul><li><a href="https://docs.github.com/en/copilot/how-tos/configure-custom-instructions/add-repository-instructions?tool=webui#creating-repository-wide-custom-instructions-2" target="_blank">Copilot AGENTS.md instructions</a></li></ul></li><li><a href="https://kiro.dev/" target="_blank">Kiro IDE</a></li><li><a href="https://www.claude.com/product/claude-code" target="_blank">Claude Code</a></li><li><a href="https://www.jetbrains.com/help/ai-assistant/ai-chat.html#quick-edit" target="_blank">Jetbrains QuickEdit</a></li><li><a href="https://blog.jetbrains.com/ai/2025/09/introducing-claude-agent-in-jetbrains-ides/" target="_blank">Claude Agent in JetBrains IDEs</a></li><li><a href="https://astral.sh/ruff" target="_blank">Ruff</a> linter</li><li><a href="https://github.com/astral-sh/uv" target="_blank">uv</a> package manager</li><li><a href="https://github.com/astral-sh/ty" target="_blank">ty</a> type checker</li><li><a href="https://pyrefly.org/" target="_blank">pyrefly</a></li><li><a href="https://en.wikipedia.org/wiki/Integrated_development_environment" target="_blank">IDE == Integrated Development Environment</a></li><li><a href="https://ollama.com/" target="_blank">Ollama</a></li><li><a href="https://lmstudio.ai/" target="_blank">LM Studio</a></li><li><a href="https://deepmind.google/models/gemma/" target="_blank">Google Gemma</a></li><li><a href="https://www.deepseek.com/" target="_blank">Deepseek</a></li><li><a href="https://openai.com/index/introducing-gpt-oss/" target="_blank">gpt-oss</a></li><li><a href="https://ollama.com/cloud" target="_blank">Ollama Cloud</a></li><li><a href="https://deepmind.google/models/gemini-diffusion/" target="_blank">Gemini Diffusion</a></li><li><a href="https://lp.jetbrains.com/django-developer-survey-2024/" target="_blank">Django Annual Survey</a></li><li><a href="https://www.amazon.com/Co-Intelligence-Living-Working-Ethan-Mollick/dp/059371671X?&linkCode=ll1&tag=dataeng-20&linkId=c80cdef56f44ec5837f5edcf9f0332bb&language=en_US&ref_=as_li_ss_tl" target="_blank">Co-Intelligence</a> by Ethan Mollick (affiliate link)</li></ul>The intro and outro music is from <a href="https://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Tales_Of_A_Dead_Fish/Hitmans_Lovesong/" target="_blank">Hitman's Lovesong feat. Paola Graziano</a> by <a href="http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/" target="_blank">The Freak Fandango Orchestra</a>/<a href="https://creativecommons.org/licenses/by-sa/3.0/" target="_blank">CC BY-SA 3.0</a>

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