𝗧𝗵𝗲 𝗘𝗻𝗱 𝗼𝗳 𝗩𝗶𝗯𝗲 𝗖𝗼𝗱𝗶𝗻𝗴: 𝗪𝗵𝘆 𝗜 𝗦𝘄𝗶𝘁𝗰𝗵𝗲𝗱 𝘁𝗼 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝗔𝗜 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀

𝗧𝗵𝗲 𝗘𝗻𝗱 𝗼𝗳 𝗩𝗶𝗯𝗲 𝗖𝗼𝗱𝗶𝗻𝗴: 𝗪𝗵𝘆 𝗜 𝗦𝘄𝗶𝘁𝗰𝗵𝗲𝗱 𝘁𝗼 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝗔𝗜 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀

I spent 3 months building my SaaS with AI. But I was spending more time fixing AI mistakes than writing code myself.

I used to ask AI to "make it look better" or "add a filter". But AI would add something, then break something else. I had to fix bugs all the time.

I realized I was optimizing for speed of generation, not speed of delivery. My code had different patterns, inconsistent error handling, and security issues.

So I switched to structured AI workflows. Now I ask AI to execute a plan that we designed together.

Here's how it works:

• I describe the feature in plain English to AI
• AI lists the components, data flow, and edge cases
• I review the plan and fix the architecture before code exists
• Then AI implements the component as designed

This approach saves me hours of debugging time. I review a plan, not debug code. A plan review takes 2 minutes, while debugging generated code takes 30 minutes.

I use a structured template for each session:

• CONTEXT: what we're building and decisions made so far
• TASK: single, specific output
• CONSTRAINTS: tech stack, patterns to follow, things to avoid
• OUTPUT FORMAT: expected delivery

After implementation, I check:

• Does it match the plan?
• Are error paths handled?
• Is it consistent with existing code?

This approach cut my "fix AI's mistakes" time by 60%.

You can start today by spending 2 minutes writing down what you want AI to produce. Review that plan before generating anything.

Source: https://dev.to/pizza_cat/the-end-of-vibe-coding-why-i-switched-to-structured-ai-workflows-38j6 Optional learning community: https://t.me/GyaanSetuAi