After lots of AI coding tools are in the market, how much has your coding time been reduced?
And if its reduced, how much errors there were compared to before?
Coding time dropped maybe 40-50% for boilerplate and scaffolding, but the interesting shift is where the time moved. I spend way less time writing code and way more time reviewing what AI generated, designing architecture, and handling edge cases the AI didn't anticipate.
For context, I'm building AnveVoice — a voice AI that takes real DOM actions on websites. The AI coding tools are incredible for generating the initial widget code, API integrations, and even the MCP tool layer (we have 46 tools via JSON-RPC 2.0). But when you're dealing with real-time voice processing at sub-700ms latency across 50+ languages, AI tools still struggle with the nuanced parts — race conditions in WebSocket connections, graceful degradation when speech recognition fails mid-sentence, accessibility edge cases across screen readers.
The error question is interesting too. Fewer syntax errors, but more subtle architectural errors that only surface in production. AI tools write code that "works" in isolation but doesn't compose well. I've found that the debugging cycle actually got longer for complex bugs because the AI-generated code is harder to reason about when it breaks.
Net positive for sure, but the real skill shift is from "writing code" to "reviewing and integrating code" — which honestly might be a harder skill.
Good question!
I managed to develop a No cost , Local Content Generator in 20-30 days using freely available AI tools like, Gemeni, ChatGPT, Codex . hashnode.com/forums/thread/i-vibe-coded-megamind-…
My take is - I could have taken less time if properly done.
Now what is Properly Done - Its more about providing guardrails to AI agent , a direction - rules in place helps - creating better strategy by focusing on steps of creation and testing -> and then start providing prompts step by step to build your app. It helps if you have a bit of coding knowledge.
Bhavin Sheth
Founder of AllInOneTools.net. I build simple, free, no-login web tools that solve small everyday problems.
Honestly, it helped, but not in the way people think.
For simple tasks, yeah it’s faster. Maybe 30–40% quicker. But for real work, I still review everything.
Errors? They didn’t disappear — they changed. Less syntax mistakes, more logic or assumption mistakes.
So now the job is less typing, more validating.
AI is a good assistant, but if you blindly trust it, you’ll ship bugs faster 😅