Rails Business

Brendan Buckingham & Ryan Frisch

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

  1. 6月25日

    Colleen Schnettler and Joe Masilotti

    Colleen Schnettler and Joe Masilotti (Permission Not Required podcast) join Ryan and Brendan to catch up on what they're each building. Joe walks through Ruby Native — his platform for getting Rails apps into the App Store without touching Xcode or writing native code — and how AI has changed his development process. Colleen shares what AI automation consulting actually looks like in practice: more process mapping and integrations work than pure AI, and why developer credibility matters in a crowded market. The group also compares notes on how they're each using AI beyond coding — for business context, client management, and personal workflows.   00:00 Introductions   01:00 Ruby Native — Rails to the App Store Without Xcode   05:30 What Changes When You're the Only One Reading the Code   08:00 AI Automation Consulting in a Crowded Market   13:00 Beyond Content and Sales — Where AI Actually Fits   16:00 Cowork, Skills Repos, and Dropping OpenClaw   18:00 Joe's Three-Agent Coding Workflow   22:00 Projects You'd Never Have Tackled Before AI   24:30 Ruby Native vs Hotwire Native Explained   28:00 How the Preview Workflow Works   33:30 Leveraging Existing Networks for New Businesses   41:00 When Automation Doesn't Need AI   44:00 The Command Center and Second Brain Thread   49:00 Joe's Business Context in Claude — Powerful and Dystopian   51:30 Colleen's Personal Agents (School Emails, LinkedIn Pipeline)   54:30 Where to Store Context — Markdown, SQLite, and Avoiding Beads   56:00 Joe at RubyConf in July LINKS - Permission Not Required Podcast - Colleen's LinkedIn - Colleen's Email: colleen@colleen.is - Joe's Website - Ryan's Website - Brendan's X/Twitter - Brendan's Bluesky Questions or comments, email us at railsbusinesspod@gmail.com Send us Fan Mail

    57分

  2. 6月11日

    Rolling Your Own APM with Claude: Real Wins, Real Tradeoffs

    Ryan and Brendan talk through the growing pains of AI-assisted development — including fatigue, increased confidence in bigger code changes, and what happens when you stop paying for expensive APM tools and just build your own. Ryan walks through how he used Claude to identify memory pressure, fix N+1 queries, and cut his Heroku costs significantly in just a few days. They also dig into the real tradeoffs: maintenance burden, over-optimization, and why you still need to understand what Claude is telling you before you run anything on a live database. LINKS - Ryan's Website - Brendan's X/Twitter - Brendan's Bluesky Questions or comments, email us at railsbusinesspod@gmail.com Send us Fan Mail

    39分

  3. 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時間1分

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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
すべて見る（36）

番組について

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

情報

  • クリエイター
    Brendan Buckingham & Ryan Frisch
  • 配信期間
    25年 - 26年
  • エピソード
    36
  • 制限指定
    不適切な内容を含まない
  • Copyright
    © 2026 Rails Business
  • 番組のWebサイト
    Rails Business

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