Rails Business

Brendan Buckingham & Ryan Frisch
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Brendan Buckingham and Ryan Frisch talk about developing with Ruby on Rails and how to leverage it to build a business.

  1. 5月28日

    Scott Werner Returns

    Scott Werner (Sublayer) returns to discuss how rapidly AI and agentic coding have is changing.  The hosts and Scott dig into why niche tools are increasingly getting replicated by developers and hobbyists with "good enough" custom solutions — while complex enterprise platforms may actually have more staying power. Scott shares what he's seeing at the Artificial Ruby meetups. They also cover Stripe's "forward deployed" AI role, the reality of AI consulting, growing trust in AI-written code, and orchestration tools like Fabro for defining repeatable AI workflows. 01:03 Early Agentic Coding Days 04:49 SaaS Is Dead Debate 10:28 Enterprise vs Homegrown Systems 12:52 Forward Deployed Builders 15:20 Architects Still Matter 19:33 Personal Software vs Production 23:22 Stripe Forward Deployed AI Role 26:16 AI Adoption and Consulting Window 29:42 Games and What Software Becomes 33:20 Burnout and Pairing Lessons 36:06 Learning to Trust AI Output 38:57 Requirements Over Code Style 43:02 Multi Project AI Workflow 45:36 Software Factory Orchestration 54:40 Process Thinking and QA 56:41 Skills and Non Determinism LINKS - Sublayer Website - Scott's Blog (Works on My Machine) - Ryan's Website - Brendan's X/Twitter - Brendan's Bluesky Questions or comments, email us at railsbusinesspod@gmail.com Send us Fan Mail

    1 小時 1 分鐘

  2. 5月14日

    Is Data the Moat for Your Business?

    The hosts explore whether “data is the new moat” in SaaS and argues that data alone—especially customer data—is rarely defensible as extraction and migration get easier. Instead, moats increasingly come from clear product vision, differentiated approaches, integrated systems, and how well apps enable AI and humans to interact with structured data. They contrast niche SaaS with broad platforms like HubSpot and Salesforce, discuss pricing model changes driven by AI costs (moving beyond per-seat to metered/credits), and predict reduced reliance on traditional UIs as chat and CLIs become efficient interfaces for AI-to-backend communication. 00:00 Data as a Moat 01:52 Niche vs Platform SaaS 02:45 Integrations and UX Moats 05:31 AI Changes Pricing Models 06:48 Geocoding Data Example 08:35 When Not to Use AI 10:43 Why CLIs Are Rising 14:25 Future Without Interfaces 18:43 Data Product vs Customer Data 21:28 Opinionated SaaS Wins 23:19 AI Change And Strategy 23:48 Defensibility And Platform Risk 25:19 Building A Command Center 27:30 Top Tools In The Stack 27:52 Do You Still Need UIs 30:36 Second Brain For Priorities 33:37 Frameworks And Memory Systems 36:02 SaaS Moats In An AI World 39:23 AI Beyond Tech Businesses 41:35 Business Takeaways And Wrap LINKS Ryan's WebsiteBrendan's X/TwitterBrendan's BlueskyQuestions or comments, email us at railsbusinesspod@gmail.com Send us Fan Mail

    43 分鐘

  3. 4月30日

    Do Pull Request Reviews Still Matter in the Age of AI?

    The hosts once again discuss the recurring theme of AI’s impact on development workflows.  They discuss various topics, including:  Increased PR volume from AI-assisted coding and whether traditional pull request reviews are still necessary. Should AI be used earlier for pre-PR review and stronger CI guardrails for performance and security. What is the role of automated testing, and are they even more important as code generation accelerates?01:05 PR Reviews Under AI Load 02:38 What PR Review Is For 05:02 Human Review What Remains 08:36 AI Pre Review And PR Purpose 11:01 Guardrails CI Performance Security 12:39 TDD Tests As Behavior Spec 15:53 AI Versus Automation In Pipeline 19:17 Testing Evolution Unit Vs System 20:32 Feature Specs And Functional Review 21:35 Bugs vs Defects Focus 23:37 Smoke Tests for Upgrades 24:44 Controller Tests Debate 27:40 Test Pyramid and Frontend Gap 28:37 Refactoring for Unit Tests 30:57 AI Coding Raises Review Stakes 34:00 Claude MD Friction 35:54 Wrap Up and Testing Habit LINKS Justin Searls PodcastWorking Effectively with Legacy Code Book by Michael FeathersProfessional Rails Testing: Tools and Principles Book by Jason SwettRyan's WebsiteBrendan's X/TwitterBrendan's BlueskyQuestions or comments, email us at railsbusinesspod@gmail.com Send us Fan Mail

    39 分鐘

  4. 4月16日

    Building with an AI Orchestrator Workflow

    In this episode, the hosts discuss building a “universal scraper” for event calendars and a new AI-assisted workflow using a long-running orchestrator.md thread. 00:12 Why Change AI Workflow 01:29 Orchestrator File Setup 04:36 How Memory Persists 07:33 Platform Constraints WSL 08:45 Git Worktrees and Isolation 12:07 Scraper Build Approach 18:26 Incremental TDD Development 20:17 Making It Truly Universal 22:39 Universal Scraper Explained 26:03 Wrap Up and Next Steps LINKS - Ryan's Website - Brendan's X/Twitter - Brendan's Bluesky Questions or comments, email us at railsbusinesspod@gmail.com Send us Fan Mail

    29 分鐘

  5. 4月2日

    AI Coding at Scale: Managing PR Overload, Using Claude to Stay Organized and Rethinking SaaS for an AI-First World

    The hosts discuss how AI-assisted coding has massively increased their output, creating a new bottleneck: cognitive load, PR review, testing, and getting work shipped. Ryan discusses splitting time between finishing near-complete work, advancing a few large architectural initiatives, and handling ongoing support.  Brendan talks about his productivity system using Claude to manage his time using local markdown files to help stay on top of things. They also cover risks of AI automation, permission scoping, subagent/approval bugs, and conclude with a renewed optimism that AI raises abstraction, increases competition, and pushes SaaS to adapt via execution, moats, and AI-ready APIs. 00:27 AI Code Volume 02:17 Cognitive Load Shift 04:52 PR Buckets Strategy 07:22 Overwhelmed Yet Excited 10:36 Workflow Tools Check 11:51 Claude Productivity Setup 14:02 Second Brain In Practice 17:21 Simple Local Files 19:30 Automation Limits 22:13 Scheduled Script Automation 23:00 Claude Cowork vs Command Center 23:39 API Permissions and Safety 26:12 Claude Code Approval Friction 29:25 Subagents and Parallel Work 30:44 When Agents Pretend Work 34:34 AI Shifts SaaS Thinking LINKS - Ryan's Website - Brendan's X/Twitter - Brendan's Bluesky Questions or comments, email us at railsbusinesspod@gmail.com Send us Fan Mail

    42 分鐘

  6. 3月19日

    Scaling AI-Assisted Development

    Today we discuss lessons from our previous episode with John Nunemaker, focusing on the Conductor tool and how multi-workspace, multi-agent workflows can speed up coding and bug fixing. Brendan shares his experimenting with parallelizing six Rollbar error fixes at once by generating prompts and running them in separate Conductor workspaces. They compare this with a one-agent-at-a-time workflow and debate whether closed-loop setups (ports, databases, dependencies) could make parallel work trustworthy and reduce context-switching costs. They also cover using full Honeybadger/XML reports for faster debugging, using Claude Code from a phone to create PRs, challenges syncing session history, and broader AI product strategy like APIs/MCP, and RAG. 00:00 Catch Up And Recap 00:43 Conductor Workflow Overview 02:40 Parallel Rollbar Fixes 04:35 Manual Testing And Setup Hurdles 06:33 Debugging With Full Reports 08:46 Ports Docker And Dependencies 11:50 Parallelism Versus Focus 14:57 Closed Loop Trust And Context 18:24 Merge Conflicts And Acceptance Gaps 22:16 Review Bottleneck And Output Surge 25:26 Fixing Gallery Uploads 26:39 Multi Select Challenges 28:27 Branching Without Conductor 31:28 Claude Mobile Workflow 32:34 Session Sync Friction 34:44 AI Brain For SaaS 38:01 APIs And MCP Table Stakes 41:49 Internal AI Assistants 43:46 Access And Safety Concerns 46:31 Second Brain Revival 49:03 RAG Tooling Experiments 50:04 Wrap Up And Listener Feedback LINKS - Ryan's Website - Brendan's X/Twitter - Brendan's Bluesky Questions or comments, email us at railsbusinesspod@gmail.com Send us Fan Mail

    51 分鐘

  7. 3月5日

    John Nunemaker on AI Development

    John Nunemaker returns to discuss how fast AI tooling has changed and argues tech leaders should adopt Claude Max (defaulting to Opus), set up agent-friendly local environments, and roll that out to their teams. He shares how his company built an internal “brain” using LibreChat as a self-hosted interface, enabling non-engineers to query company data and generate insights like weekly support summaries from various sources. The conversation also covers worktrees and Conductor for parallel, isolated dev environments. 01:22 Tech Leaders Must Adopt AI 02:31 Why Opus Changed Everything 04:55 Claude Max Plans and Limits 07:41 Brain Idea and Safety Boundaries 09:03 Building the Stack with MCP 10:18 Ansible Automation and Deploys 12:53 Support Data Summaries in LibreChat 15:42 Scheduling Reports to Slack 20:17 OpenCode vs Claude and Mobile Workflow 23:54 What MCP Connectors Enable 26:20 Accessing Brain via Tailscale 30:48 Team Size and PR Volume 32:32 Claude PR Review Workflow 35:25 Conductor Daily Setup 38:36 Worktrees and Isolation 50:47 Conductor Limits and Pain 51:36 App Changes and Scripts 54:45 Caddy for Local Domains 57:10 Jobs Outlook and Wrap Notes - John's X/Twitter - John's Bluesky - John's post setting up conductor with Rails - John's Website - Ryan's Website - Brendan's Bluesky Questions or comments, email us at railsbusinesspod@gmail.com Send us Fan Mail

    58 分鐘

  8. 2月19日

    Kyle Keesling

    In this episode, Kyle Keesling, co-owner of PASS Testing and long-time solo Rails developer, shares how PASS grew from a college web design side project into a niche software and training business for the Underground Storage Tank (UST) industry. The conversation covers why they kept the products as two apps connected by a read-only private API, what makes compliance software hard, and how they modeled flexible equipment and inspection data—evolving from STI to Rails delegated types. Kyle also discusses early scaling pains around billing and payments, how feature requests are prioritized with help from their CRO and a contractor, and how tools like Claude Code are changing his workflow while maintaining PR-based review and safer deployment practices. 00:00 Meet Kyle Keesling& His Role at PASS Testing 00:29 From College Web Design to a Niche Opportunity in UST Compliance 02:31 Building Opus: A Custom LMS for Gas Station Training 03:34 Why Compliance Is Hard: 50 States, 50 Rulebooks 04:25 From Training to Past Tools: The Second Product Idea 08:06 Two Apps or One? Data Sync, APIs, and Customer Workflows 10:25 Would He Do It Again? Decoupling, Upgrades, and Acquisition Optionality 12:28 Why Past Tools Is More Complex: Data-Driven Inspections & Asset Inventory 16:13 Modeling the Domain in Rails: STI → Delegated Types (and Migration Strategy) 22:35 Versioning & “Point-in-Time” Inspections: Preventing Old Reports from Changing 24:13 Downtime, SLAs, and Recovering from Form/Data Bugs 26:40 Early Scaling Stories: Hardcoding States and Billing Growing Pains 29:39 Letting Customers Shape the Product (Beyond Compliance) 31:14 Integrations vs. Building Everything In-House 32:50 Feature Requests, Backlog Triage, and Adding Sales/Dev Bandwidth 37:41 Shipping Without the Never-Ending PR: Iterative Rollouts ("Visits") 40:39 Using AI Safely: PRs, Branch Protections, and Documentation Habits 46:14 Wrap-Up: Where to Find Kyle and Past Testing LINKS - PASS Testing - Kyle's X/Twitter - Ryan's Website - Brendan's X/Twitter - Brendan's Bluesky Questions or comments, email us at railsbusinesspod@gmail.com Send us Fan Mail

    47 分鐘
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關於

Brendan Buckingham and Ryan Frisch talk about developing with Ruby on Rails and how to leverage it to build a business.

資料

  • 創作者
    Brendan Buckingham & Ryan Frisch
  • 活躍年份
    2025年 - 2026年
  • 單集
    34
  • 分級
    兒童不宜
  • 版權
    © 2026 Rails Business
  • 節目網站
    Rails Business

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