A few months back, I posted a number on my own website that I have to keep explaining ever since: a 70% drop in development and coding time, thanks to AI. I meant it as an honest update about how I work now. What I got back, mostly, was one question: "So does that mean I pay 70% less too?"
Fair question. This article is my full answer to it — not a marketing line, an actual breakdown of what changed, what a quote looks like now, and why, even with AI writing a lot of the code, you still need a developer sitting between you and the final result.
Table of contents
- AI changed web development forever
- What AI does exceptionally well
- What AI still cannot do reliably
- Why websites and web apps are still essential
- The changing role of a web developer
- My new pricing, broken down
- What did not get cheaper, and why
- Being transparent about AI usage
- How this affects existing clients
- Selling outcomes, not lines of code
- Why AI actually creates more work for developers like me
- Real examples from recent projects
- Where this is heading
- Frequently asked questions
AI changed web development forever
I have been building websites for 15+ years. In that time, nothing has changed my day-to-day work as fast as AI coding tools have in the last two years. Tasks that used to eat a full day — scaffolding a new page structure, writing repetitive CRUD logic, setting up a form with validation — now take a fraction of the time.
This is not a "the future is coming" article. It already happened. The only honest thing left to do is explain what it means for what you pay and what you get.
What AI does exceptionally well
- Boilerplate and scaffolding. New pages, repeated components, standard form handling — AI drafts these almost instantly.
- First-draft UI. Getting a layout from blank page to a working draft is dramatically faster.
- Debugging assistance. Explaining unfamiliar code, especially in someone else's old project, is much quicker with AI as a first pass.
- Documentation and test scaffolding. Writing the first draft of docs or basic test cases is now a minutes-long task instead of an hours-long one.
All of this is real time saved. It is also the easiest 70% of most projects — which is exactly why I am comfortable cutting price on it specifically.
What AI still cannot do reliably
Here's the other side of it: there is a large part of every project AI does not meaningfully speed up.
- Understanding messy, undocumented legacy code — the kind I deal with constantly on old client sites and shared hosting setups.
- Domain-specific business logic — custom matching rules, booking edge cases, anything unique to how your business actually works.
- Security judgment — knowing what not to build, what to validate, and where an AI-drafted shortcut is a vulnerability waiting to happen.
- Client communication — figuring out what you actually meant when a requirement was described in five different ways over WhatsApp.
- Production debugging under real conditions — live data, shared hosting quirks, a client's specific server environment.
This is the part of the work that still takes me the same amount of time it always did. It is also the part that actually protects your project.
Why websites and web apps are still essential
None of this AI shift changes the basic fact that a business without a real, owned website is invisible or dependent on platforms it does not control. If anything, cheaper development means more small and local businesses can now justify getting one built properly instead of settling for a template or a social media page as their only presence.
The changing role of a web developer
My own role has shifted from "the person who types the code" to something closer to an architect and reviewer. I spend less time on repetitive typing and more time on system design, checking AI output line by line, and making sure what gets shipped actually fits your business — not just a generic template of it.
My new pricing, broken down
Here is the actual shift, using a real style of project quote — a small business website with a contact form, a few custom pages, and basic SEO setup.
| Line item | Old price (₹) | New price (₹) | Change |
|---|---|---|---|
| Coding & build | 25,000 | 7,500 | -70% |
| Architecture & business logic | 15,000 | 4,500 | -70% |
| Testing & QA | 8,000 | 2,400 | -70% |
| Deployment & support | 5,000 | 1,500 | -70% |
| Total | 53,000 | 15,900 | -70% |
That is the genuine number, not a rounded-up marketing figure. I decided that if AI is making my actual work faster across the board — not just the typing, but the review and testing cycles too, since I am reviewing AI-drafted code instead of writing it from scratch — the fair thing to do is pass that saving through in full, not keep a chunk of it as extra margin.
What did not get cheaper, and why
To be clear, this 70% reduction applies to standard project work — the kind most business websites, WordPress builds, and typical Laravel applications involve. Some things stay priced the same regardless of AI:
- Highly custom business logic — like the community-based matching rules I built for a matrimony platform, or a booking system with unusual edge cases. This still needs full manual design.
- Emergency fixes and production debugging — diagnosing a live issue on a client's server takes the time it takes, AI or not.
- Ongoing maintenance and support — this is judgment work, not typing work.
If your project leans heavily on one of these, I will tell you upfront that the discount will be smaller than 70%, and exactly why.
Being transparent about AI usage
Yes — I use AI tools as part of my process now. I am not hiding that, and I do not think any developer should. What I do promise is that every piece of AI-drafted code goes through the same review, testing, and security check I would apply to my own code, or a junior developer's. The speed comes from the first draft. The judgment layer stays fully mine.
How this affects existing clients
If you already work with me, any new feature, fix, or next phase of your project is quoted under this same AI-assisted pricing — not just new client work. My free-support-first, pay-only-when-happy approach has not changed either. This is simply the same approach applied to pricing that I already apply to the work itself.
Selling outcomes, not lines of code
Since coding itself is now cheap and fast, the real value I am offering was never really "typing." It is getting you more bookings, more inquiries, more completed sales — the actual business outcome behind the build. A cheaper build should mean you get to that outcome for less, not that the outcome itself matters less.
Why AI actually creates more work for developers like me
Cheaper development means more businesses attempt a project that would previously have felt out of reach — including some who try to build it entirely themselves with AI tools. A good number of those projects eventually need a developer anyway: to fix security gaps, clean up code that works but is not maintainable, or finish the 20% that AI alone could not handle. If anything, this shift has widened the pool of people who eventually need someone like me, not shrunk it.
Real examples from recent projects
Chennai-based service business
A local Chennai business wanted a professional website and better visibility on Google, but the standard agency quotes they had received felt too high for a business their size.
Used AI-assisted scaffolding for the site structure, page templates, and initial copy drafts, then personally handled the business-specific content, SEO setup, and Google Business Profile configuration.
Delivered a full business website with local SEO basics at roughly 70% less build cost than a traditional quote, with no reduction in review, testing, or the free-support-first process.
Small WordPress-based online store
An existing WordPress store needed a redesign and new payment gateway integration, but the owner was hesitant to spend on a full rebuild given past experiences with slow, expensive development.
Used AI tools to generate first-draft templates and boilerplate integration code, then manually handled the payment gateway logic, security review, and mobile responsiveness fixes by hand.
Cut the coding and template time dramatically, passed that saving through directly in the quote, and delivered the same tested, production-ready checkout flow as a traditional build would have.
Niche matching and booking platform
A platform with complex, domain-specific matching and booking rules needed ongoing development, and the client wanted to understand why this work was not discounted as heavily as simpler projects.
Explained upfront which parts of the project — custom matching logic, edge-case handling, data integrity — still required full manual design time, versus which parts (UI scaffolding, admin panels) benefited from AI assistance.
The client received an honest, itemized quote instead of a blanket discount, understood exactly what they were paying for, and the project shipped with the same reliability as before AI was part of the workflow.
Where this is heading
Coding will keep getting cheaper and faster as AI tools improve further. What will not get cheaper is the part that was never really about typing — understanding a business, making judgment calls, and standing behind the result when something needs fixing at 11pm on a shared hosting server. The developers who use AI in the open, and price it fairly, are the ones who will stay useful. The ones pretending nothing changed, charging old rates for AI-assisted work, are the ones clients should be wary of.
Closing thoughts
I did not write this article to prove a point about AI. I wrote it because I posted a real number on my site and owed an equally real explanation for what it means for your invoice. The short version: coding got 70% cheaper, so my prices dropped 70% on the parts that actually got faster. Everything that still takes real judgment — the part you are actually paying a developer for — stayed exactly as thorough as it always was.