The Story Behind DevboardAI

Like Many Developers...

I had a backlog full of ideas I never had time to build. Side projects. Features I knew exactly how to implement. Refactors that would make everything cleaner. But between the day job, code reviews, and firefighting — nothing shipped.

AI coding assistants promised to change that. I spent hours with Copilot, Claude Code, ChatGPT — every tool that promised to make development faster. They helped with small things. But when it came to building real features — the kind that span multiple files, require architectural decisions, and need to work with existing code — the experience was frustrating.

The Problem

Every AI coding tool I tried worked the same way: you drive, AI assists. You write the prompt. You review the output. You copy-paste into the right file. You fix what broke. You prompt again. And again.

The mental overhead wasn't reduced — it was shifted. Instead of writing code, I was writing prompts, managing context windows, and debugging AI-generated code that didn't understand my project structure.

I was spending more time managing the AI than I would have spent just coding it myself.

“What if I could describe a feature the way I'd describe it to a junior dev — and the AI would just build it, end to end, while I focused on the hard problems?”

The Idea

I started building DevboardAI as a tool for myself. The concept was simple: a project board where you plan your work like you normally would — tasks, sprints, priorities — but instead of coding each task yourself, an AI agent picks it up and builds it.

Not “generates a code snippet.” Actually builds it. Creates the files, writes the logic, integrates with the existing codebase, runs the checks. You watch it work in real time, review the output, and move on to the next task.

The AI doesn't assist. It executes.

The First Time It Worked

I remember the first time I described a feature in a task card, hit execute, and watched the AI agent scaffold the component, write the logic, update the imports, and integrate it with the rest of the app — all without me touching a single file.

It wasn't perfect. I had to tweak a few things. But the difference was night and day: instead of 45 minutes of prompting, copying, and debugging, I spent 3 minutes reviewing and refining. The feature was done. I moved on to the next one.

That was the moment I knew this wasn't just a personal tool — it was the missing piece for every developer who has more ideas than hours in the day.

Why I Made It Public

DevboardAI started as a side project, but the more I used it, the more I realized the gap in the market. Every AI coding tool was stuck in the “assistant” paradigm — waiting for you to prompt, generating suggestions, requiring you to orchestrate everything manually.

No one was building the agentic layer — the part where AI doesn't just suggest code but actually takes a task off your board and implements it. That's the layer DevboardAI occupies.

I priced it as a one-time purchase because I believe tools should respect your wallet the way they respect your time. No subscriptions, no usage caps, no lock-in. Pay once, use it forever.

Want to see how DevboardAI stacks up against the tools you already use? See the comparison. Or head back to the FAQ if you have questions.

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