How I Build Projects: My Complete Dev Workflow

  • vInsights
  • July 8, 2026
  • 4 minutes

Most people think building software means sitting at a keyboard and writing code.

I used to think the same thing. Then I spent 2 years learning the hard way.

Planning in isolation? Built features nobody needed. Writing every line myself? Projects took months and broke when I was not around. Manual deployments? 2 AM calls to fix production. Chasing bugs through logs? Found problems days after they cost us money.

It was painful. But it taught me something: the bottleneck is never the code. It is the system around it.

Here is what I built instead:

Plan with ChatGPT. I start with a conversation. Map the architecture, break it into features, define what "done" looks like. Then I push it directly to Linear as cycles and issues. The ChatGPT Linear plugin handles the transcription. I just think out loud.

Execute with AI. I have two coding assistants wired in:

  • Codex (OpenAI) when I need fast, precise implementations
  • Kimi when I need deeper reasoning or complex debugging

Both connected to Linear via MCP in VSCode. Either one can pick up a pending issue and start working. I switch based on the task, not loyalty. Some days I use both. Some days neither. The work keeps moving.

Deploy with GitHub Actions. Every push auto-publishes to a dev environment. I test against production-level data before it ever touches the real site. No manual deployments. No "it works on my machine." It just works.

Debug with automation. When errors occur, my product debug triage automatically creates a Linear ticket with context - stack trace, environment, affected users. I stopped losing bugs in log files. Now they find me.

But here is what changed everything: this is not just my workflow anymore. It is how the entire team operates.

As the founder, I focus on product vision with ChatGPT. Every feature, every pivot, every priority gets transcribed into Linear tasks using the ChatGPT Linear plugin before a single line of code is written. The team takes those tasks and runs them through the same system - AI-assisted execution, automated testing, self-documenting deployments. They do not wait for me to unblock them.

Quality takes execution and runs it through certification - automated checks, regression tests, performance benchmarks. Nothing ships without passing. And every morning, I get a daily summary: what we completed, what we missed, what priority fixes are open, what triages need to close before the cycle ends.

I am informed. The team is responsible. QA is accountable. The client is never left guessing.

Vision -> Task -> Execution -> Certification -> Ship. All in one flow. All on time.

I do not write boilerplate. I do not chase bugs. I architect the vision, and the system turns it into reality.

The truth? Success comes from painful lessons transformed into powerful systems. And those systems make success inevitable.

What does your build workflow look like? Where is the biggest bottleneck?


Work With Versalence

At Versalence AI, we help businesses automate their workflows, build custom AI solutions, and integrate systems that actually work. Whether you need N8N workflows, Botpress chatbots, or custom web applications, we have the expertise to make it happen.

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