Trusted by companies across the USA
For LA studios and startups that need production code shipped in days, not sprints stretched over months
For your Los Angeles business.
Trusted by companies across the USA
A post-production studio in Los Angeles came to us with a rendering queue tool held together by a Python script one editor wrote three years earlier. Nobody else understood it, and every time a client asked for a new export format, the whole pipeline needed babysitting for a day or two. That is a common story around Los Angeles, where media, entertainment tech, and a growing number of direct-to-consumer brands run on internal tools nobody ever budgeted real engineering time for. When those tools break during a delivery window, production stalls and someone senior ends up debugging a script instead of doing their actual job.
We rebuilt that rendering queue using Claude Code to handle the repetitive scaffolding, the API wrappers, and the initial test coverage, while our engineer focused on the logic that actually mattered: job prioritization, retry handling, and a Node.js worker layer that could scale past a single machine. The AI tooling did not replace judgment. It compressed the time between deciding what to build and having a working version to test, which mattered because the studio needed this live before a busy award-season delivery window rather than sometime the following quarter.
We are based in Gandhinagar, India, and every AI-powered developer on our team works remotely with overlap into US Pacific hours for clients across California. That time difference works in your favor more than most people expect going in. You send a spec or a bug report at the end of your workday, and there is real progress waiting when you check in the next morning rather than a status update that says work is still in progress. Our stack for this role centers on Python and TypeScript for backend logic, React for interfaces people actually touch, and Node.js for services that need to hold up under real traffic instead of just a demo environment.
The honest tradeoff worth stating plainly: AI-assisted development is fastest when the problem is well-scoped, like a defined feature, an API integration, or a data pipeline with a clear input and output. Open-ended product discovery still needs a person thinking through edge cases and talking to your actual users, and no amount of tooling changes that. What does change is how quickly a scoped piece of work turns into shippable code once the direction is clear, and that is exactly where fast-moving teams in Los Angeles tend to feel the most pressure given how quickly production schedules and launch dates move on them.
Boilerplate, test scaffolding, and API wrappers get generated in minutes instead of hours, so a client sees a working feature branch days after kickoff instead of weeks. That pace matters most when a launch date or a client deadline is already fixed.
One developer working with AI tooling covers ground that used to need two people, which means fewer handoffs and fewer places for requirements to get lost in translation. You deal with one person who knows the whole codebase instead of coordinating across a team.
AI-generated code still goes through manual review, linting, and full test runs before it ships, catching the kind of subtle bugs that speed alone tends to introduce. Nothing merges to your main branch without a human having read it first.
The hourly rate runs higher than a junior contractor's, but the hours needed to finish a scoped feature drop enough that the total project cost usually comes in lower. You are paying for output, not for time spent searching documentation.
AI-powered developer, 40 hours/week.
Same developer, 20 hours/week.
Pay for hours worked.
We walk through your existing codebase or product idea over a call and pin down what a working version actually needs to do first. For a media or e-commerce team on a tight production calendar, this usually means separating the urgent fix from the nice-to-have before any estimate gets written down.
We use AI tooling to draft the technical approach, database structure, and API contracts, then a senior developer reviews and adjusts before any code gets written. This step catches design mistakes while they still cost nothing to fix, instead of three weeks into a build.
Claude Code handles repetitive implementation work like component scaffolding and boilerplate API routes in React, Node.js, and Python, while the developer writes the logic that actually needs judgment. You get a working branch to look at within the first week, not the fourth.
Every generated function gets tested against real data and edge cases, not just the happy path a demo would show. We check for the kind of silent errors AI tools sometimes introduce, like mismatched types or a skipped null check buried in a form handler.
We deploy in small increments so you can react to a live feature instead of waiting for one giant release months out. Post-launch fixes and follow-up requests get turned around fast because the codebase stays documented as we build, not after the fact.
"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 the codebase or the spec and we will scope what an AI-accelerated build looks like for your timeline, with a plan back to you within two business days.
For your Los Angeles, California business.