Development at Goodspeed isn’t about shipping everything - it’s about shipping the right things, fast, with just enough structure to grow from. We don’t treat no-code like a shortcut. We treat it like a serious toolkit for serious products.

We combine low-code platforms with AI to shorten build cycles, reduce bottlenecks, and keep the focus on value - not volume. But speed means nothing without clarity. That’s why we spike the riskiest things first, start lean, and collaborate early with product and design to protect intent all the way through.

Our Development Beliefs

• Start with the hardest thing
  We use tech spikes to validate the most complex or uncertain part of the build first. If that doesn’t work, we don’t waste time on what comes next.
  
  

• Don’t build everything
  We only build what V1 needs. Not what feels impressive. Not what looks busy. Just what drives learning and unlocks the next step.
  
  

• No-code doesn’t mean no standards
  We think like engineers. That means clear data models, scalable workflows, and logic you can trust — even when it’s visual.
  
  

• AI helps us go faster, not shallower
  Tools like Cursor and Claude help us write logic, debug faster, and structure efficiently. But we never ship what we don’t understand.
  
  

• Engineering is a team sport
  Developers, designers, and product thinkers work together — from tech spikes to final polish. That’s how we preserve intent and quality.

How We Build

1. Tech Spikes
   Before anything else, we prototype the riskiest logic, the most complex workflow, or the newest tech. We call out problems early and test solutions fast.
   
   

2. Lean Feature Builds
   We build just enough for real users to use and respond to. Every feature in V1 earns its place.
   
   

3. QA: Internal First
   We test not just for bugs, but for friction, UX gaps, and design misalignments. We check it like a user, not just a tester.
   
   

4. QA: Client Feedback
   Clients get hands-on time before launch. We use their feedback to finalise with confidence.
   
   

5. Handoff or Scale
   After launch, we either train the internal team, keep iterating, or scale the product through new features and automation.

Tools We Use

We stay flexible with tools - but we have our go-tos.

• Bubble - for full custom product builds

• Framer - for polished, responsive marketing sites

• Flowise - for building and testing AI agent workflows

We don’t chase tools for the hype. We use what helps us deliver faster, better, and with less stress.

AI in Development

We use AI like a smart teammate - fast, consistent, but always reviewed.

• AI helps us map logic, debug, and write workflows

• AI helps us write docs, scripts, and repeatable processes

• But people own the build. Every line, every flow, every decision is intentional