AI - Giant Robots Smashing Into Other Giant Robots

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ChatGPT agent: Experimenting with QA automation

Doing manual QA can be slow and tedious, but can ChatGPT agent handle real product QA? We ran a few experiments checking FrontrowMD widgets across sample web pages and discovered a lot of potential—plus a few pitfalls.
Chad Pytel, Michelle Taute & Yaser Mahmoud
January 6, 2026
- AI
- Automation
How to use LLMs without driving your team mad

Three AI anti-patterns that consistently frustrate development teams, and how to avoid them.
Jimmy Thigpen
November 17, 2025
thoughtbot at Just Product 2025

Insights from the 2025 Just Product conference - from slowing down under pressure, to experimenting with AI and vibecoding - and what this all means for product teams and leaders.
Bethan Ashley
November 10, 2025
Lessons from using AI in Discovery

We tested multiple AI tools for synthesizing discovery output and found the best insights come when machines find the patterns and humans connect the dots.
Dawn Delatte, Fatima Burke & Kevin Kwon
September 15, 2025
AI in Focus: Refactoring Rails with AI tools

Exploring how Github Copilot can help identify and fix Ruby on Rails AntiPatterns, and the challenges of using AI for complex refactoring tasks.
Chad Pytel, Sarah Lima & Kate Young
July 22, 2025
Can AI rebuild a Rails page in Next.js? We tried it

A recap of our live stream experiment where we used Cursor to rebuild a Rails page in Next.js.
Jimmy Thigpen
June 12, 2025
- Experiments
- AI
- NextJS
- Ruby On Rails
Building a Rails Feature with AI and Active Job

Exploring how structured function calls to an LLM can replace a dedicated CRM enrichment service in thoughtbot’s internal Rails app.
Chad Pytel and Kate Young
June 9, 2025
- AI
- Rails
- TDD
- Language Models
- Llm
- Large Language Models
AI for Business: Implementation strategy

The final blog in our “AI for Business” series in which we look at the rollout of your new AI strategy.
Ferdia Kenny
June 4, 2025
AI for Business: Adoption challenges - legal, societal and ethical considerations

Like Frodo, you have left the Shire, formed the fellowship and survived the Dead Marshes. But you still need to scale Mount Doom. In our case, Mount Doom represents the many legal, societal and ethical implications around adopting AI technology.
Ferdia Kenny
May 28, 2025
AI for Business: Adoption challenges - people

The biggest hurdle to a successful AI-powered business transformation is not broken code, bad data or limited budget. It’s people. Let’s take a look at a few ways to jump this hurdle!
Ferdia Kenny
May 21, 2025
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