Trusted by companies across the USA
Faster React and Python builds for Marietta teams, backed by senior developers who review every AI-generated line.
For your Marietta business.
Trusted by companies across the USA
A logistics coordinator working with one of the freight and distribution operators near Marietta once told us their dispatch tracker was still a spreadsheet passed between three shifts. Cobb County has a dense cluster of logistics, aerospace supply, and manufacturing support businesses, and a lot of them are running on tools that were patched together years ago. When one of these companies decides to finally build something real, the question is rarely whether to do it. It is how fast they can get a working version in front of their team without burning through a budget meant for six months of runway.
That is where an AI-powered Claude Code developer changes the math. Our developers use Claude Code as a coding assistant to scaffold components, write test coverage, and refactor existing modules, then review and correct that output before it ships. On a recent internal build, this cut the time to a working prototype from an estimated 5 weeks down to 12 days, mostly because boilerplate React components and API route handlers no longer needed to be typed out by hand. The developer still owns every architectural decision. The AI just removes the parts of the job that were never where the judgment lived anyway.
We are based in India, and our Claude Code developers work while Marietta is asleep. You send updated requirements or a bug report at 6 p.m. Eastern, and there is often a build or a fix waiting when you check Slack the next morning. This is not a staffing pool we dial up or down. It is a small team of senior engineers who happen to use AI tooling aggressively, and we bill for the output, not for hours spent typing. A TypeScript interface layer that used to take a developer a full day to write against a messy legacy API can now be generated and verified in under two hours, freeing that time for the actual data modeling problem underneath.
We will be direct about the limits here. AI tooling is excellent at pattern-matching against code you already have and generating clean scaffolding, but it does not understand your business rules until someone explains them clearly, and it will confidently write incorrect logic if the prompt is vague. Every pull request from our Claude Code developers goes through a human review pass before merge, the same as it would with any senior engineer we hire. Georgia companies evaluating this model should expect a faster clock, not a smaller team of humans watching the work.
Scaffolding, routing, and CRUD endpoints get generated and reviewed instead of hand-typed, so Marietta teams typically see a working demo in 10 to 14 days instead of 5 to 6 weeks.
Our developers use Claude Code to draft unit tests and repetitive component variants in parallel with the core logic they are writing by hand, roughly doubling what one senior engineer ships in a two-week sprint.
AI-drafted code goes through the same senior code review as any other pull request, plus an automated test pass, which has cut post-merge bug reports on recent builds by close to a third.
You are billed for a senior developer's judgment and a compressed timeline, not for a large bench of junior staff learning on your project.
AI-powered developer, 40 hours/week.
Same developer, 20 hours/week.
Pay for hours worked.
We get on a call to walk through what you are building and pull apart which pieces are repetitive (forms, CRUD screens, data pipelines) versus which need custom logic. That split determines how much of the build AI tooling can accelerate.
Before any code is written, we lay out the data model and component structure, then use Claude Code to draft scaffolding options against that plan. A human developer picks the structure that fits your system, not whatever the tool suggests first.
Component code, API handlers, and test scaffolding get generated in React, Node.js, or Python and immediately reviewed line by line. Custom business logic, the part that actually differentiates your product, is still written and reasoned through by hand.
Every change runs through automated test suites plus a manual review from a senior developer who did not write the original code. This catches the confidently-wrong logic AI tools sometimes produce when a requirement was ambiguous.
We deploy in small increments so you can react to a live build rather than waiting for one big release. Feedback sent at the end of your day is usually addressed before your next morning, given the time zone gap.
"Ritik and his team at Aneri Developers are top notch! We have been working together for almost 2+ years now and the project continues to evolve exactly how I had envisioned it. His communication is amazing and his attention to detail is even better! The mobile app and back office that we have created has freed up so much of my day to day while also giving my clients much better transparency and service in return too. His pricing is very fair and I feel extremely lucky to have him helping behind the scenes and growing my business! I look forward to all our future endeavors and continued success. Thank you!"
"I used Aneri Developers to build a campaign website. They were responsive, creative and handled any web-site related problems promptly. The turnaround time to implement updates was impeccable. Rutvik was also very patient and gracious. I recommend Aneri Developers for your website development needs."
"Great developer. On Time. Reasonable pricing. I trust working with him. We have an on going business now!"
Send us your current requirements and we will map out what an AI-powered Claude Code developer could realistically deliver in your first two weeks.
For your Marietta, Georgia business.