Auregon
Auregon

Codex & AI-Native Development Services We Offer

Our Codex and AI-native development services cover the full range of what modern AI-powered development enables from integrating OpenAI Codex and AI coding agents into your development workflow through building agentic coding systems that automate repetitive engineering tasks, and delivering software projects using AI-augmented development teams that ship at significantly higher velocity.

We build integrations with OpenAI Codex the autonomous AI software engineer that can write, test, and review code from natural language instructions. Our Codex developers configure Codex agents for your specific codebase, language stack, and quality standards, creating AI-assisted development workflows that reduce time on routine engineering tasks.

AI-native development means building software with AI coding agents as first-class members of the development process not just as autocomplete, but as active participants in architecture decisions, code generation, testing, and documentation. We build applications using AI-augmented development processes that deliver higher velocity without cutting corners on code quality.

Vibe coding building software through natural language instructions to AI, rapidly iterating on AI-generated implementations is productive when the developer directing it has strong engineering judgment about what to accept, what to refactor, and when AI is taking the code in the wrong direction. Our vibe coding developers ship production-quality software using this workflow, not just demos.

Beyond using existing AI coding tools, some businesses need custom AI coding agents built for their specific codebase, standards, and workflows. We build custom AI coding agents that understand your tech stack, respect your conventions, and automate the repetitive engineering tasks that slow your team down most.

GitHub Copilot is most useful when your codebase and development workflow are set up to give it the right context. We configure GitHub Copilot for your engineering teams setting up effective prompt patterns, building .github/copilot-instructions.md configurations, and training your developers to get maximum output quality from AI suggestions.

Modern AI coding agents can handle multi-step software engineering tasks reading a specification, writing code across multiple files, running tests, fixing failures, and submitting a pull request. We build agentic development workflows that automate these task chains for specific, well-defined engineering categories in your organisation.

AI can review code consistently and at scale in ways human review cannot sustain. We build AI-powered code review pipelines that enforce your team conventions, catch common error patterns, check for security issues, and provide actionable feedback reducing the review burden on senior engineers without reducing review quality.

Many internal engineering tools code generators for specific patterns, scaffolding tools for new services, documentation generators from code can now be built on top of Codex and similar AI coding models. We build Codex-powered internal tools that automate the repetitive engineering setup work your team currently does manually.

For teams that need to ship more engineering work with the same or smaller headcount, we provide AI-augmented development capacity our AI-native developers working alongside your team or independently, using AI coding tools to deliver feature work at a velocity that traditional development cannot match at the same cost.

Understanding and modernising legacy codebases is a use case where AI coding models genuinely accelerate work generating documentation from undocumented code, suggesting modern equivalents for deprecated patterns, and helping plan refactoring sequences. We use AI coding tools to analyse and modernise legacy systems more efficiently

Building backend services and APIs using AI-native development workflows lets experienced engineers focus on architecture and business logic while AI handles implementation detail. Our AI native developers deliver backend systems at higher velocity using these workflows, with the engineering judgment to ensure production quality.

Writing comprehensive test suites is one of the highest-value uses of AI coding models. We build AI-powered test generation pipelines that create unit tests, integration tests, and edge case coverage from existing code dramatically improving test coverage on existing codebases and ensuring new code ships with tests from day one.

Not every engineering team knows how to effectively integrate AI coding tools into their development process. We provide consulting on AI-native development workflow adoption tool selection, prompt strategy, review process design, and team training helping your engineers use AI coding tools professionally rather than sporadically.

AI-generated code requires the same ongoing maintenance as human-written code. We provide ongoing support for applications built using AI-native development processes, covering code quality reviews, refactoring, dependency updates, and feature additions using the same AI-augmented workflows that built the original system.

[Our Portfolio]

Projects That Deliver Real Results

All AI Agents Automation Custom AI Web Development

Numbers That Speaks For Itself

Unithink Technologies measures success the same way our clients do through revenue growth, time saved, and systems that keep delivering value long after launch. Every AI application we build is designed to create measurable, lasting impact.

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Businesses Scaled
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Enterprise AI Systems Deployed
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Industries Served
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ROI-First Delivery

Industries Where We Help You Hire Codex Developer

We have delivered AI-native development services across multiple industries. Every engagement uses AI coding tools appropriately for the application type, compliance requirements, and code quality standards specific to your sector.

SaaS & Technology

SaaS companies are the primary adopters of AI-native development practices, using AI coding agents to ship product features faster with existing engineering teams. Hire Codex developers from Unithink who integrate into your engineering team, adopt your coding standards, and ship features at AI-augmented velocity.

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Startups & Scale-ups

Early-stage companies use vibe coding and AI-native development to ship MVP products and iterate rapidly with lean engineering teams. Our AI native developers build production-quality applications using these workflows not throwaway prototypes, but codebases that can be maintained and extended as your team grows.

eCommerce & Retail

eCommerce platforms use AI-assisted development to ship storefront features, integration work, and automation tools faster. Hire AI coding agent developers from Unithink who use Codex and similar tools to deliver eCommerce engineering work at higher velocity without cutting corners on code quality.

Financial Services

Financial services businesses use AI coding tools carefully, with human review maintained for all AI-generated code that touches critical paths. Our Codex developers understand the appropriate use of AI code generation in regulated environments AI for speed, human judgment for correctness and compliance.

Healthcare

Healthcare software development using AI coding tools requires strong human oversight of AI-generated code, particularly for clinical logic and data handling. Our AI-native healthcare developers use Codex and similar tools for appropriate tasks boilerplate, tests, documentation while applying rigorous review to business-critical implementation.

Professional Services

Law firms, consultancies, and professional services businesses are beginning to build internal tools using vibe coding approaches tools that would previously have required significant development investment but can now be built by AI-native developers in a fraction of the time.

Real Estate

Real estate platforms need React applications that handle dynamic listing data, map integrations, lead capture, and CRM connectivity under real traffic. Hire dedicated React developers from Unithink who have built property search interfaces, valuation tools, and agent management dashboards for real estate businesses.

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Healthcare

We create end-to-end AI systems for healthcare providers. Our solutions include high-performance websites, a custom CRM that tracks leads by platform and campaign, AI auto-calling agents, WhatsApp lead nurturing, and appointment-booking bots. Moreover, we also provide call recording with SMS summaries and OCR tools for the doctors that extract key data from patient reports. Everything is built with compliance and data privacy in mind from day one.
[ Pricing ]

Only pay for what you use

Choose the experience level that fits your project complexity and budget. All engagements are flexible hourly, part-time, or full-time depending on your requirements.

AI-Native Development Is Not About Replacing Engineering Judgment. It Is About Multiplying It.

Tell us what you are building, how large your codebase is, and what development velocity or capacity problem you are trying to solve. Fill in your details below and we will come back with the right approach.

[ Our Clients]

Trusted By Growing Businesses & Global Teams

Global businesses trust Unithink Technologies when it matters most to build digital products, automate their operations, and deploy intelligent AI systems that drive real, measurable growth.

Technologies & Platforms We Work With

We work with the best technologies and tools across every layer of the stack, carefully selected for performance, reliability, and real business impact.

HTML
CSS
React
Js
Next.js
AngularJS
Node.Js
Python
Logomark
Laravel
.Net
PHP
Langchain
LangGraph
Langgraph
CrewAI
CrewAI
Multie agent
N8N
Make
Make (Integromat)
Zapier
Relevance AI
VAPI
Power Automate
Selenium
WordPress-colorCreated with Sketch.
Wordpress
Drupal
Webflow
Framer
MySQL
PostgreSQL
Redis
Pinecone Icon Streamline Icon: https://streamlinehq.com
Pinecone
Supabase Icon Streamline Icon: https://streamlinehq.com
Supabase
Hostinger
AWS
Google Cloud
Azure
testimonials

Hear From Our Clients

[ Why Choose Unithink ]

Why Hire Codex Developer From Unithink?

When you hire Codex developers from Unithink, you are not getting developers who list GitHub Copilot on their resume because they tried autocomplete once. You are getting AI-native engineers who use Codex, AI coding agents, and vibe coding workflows professionally knowing which tasks these tools accelerate reliably, how to catch their failure modes, and how to integrate AI-generated code into production systems that hold up. Organisations that hire Codex developers through Unithink work with a team whose production track record is verifiable through real deployed systems, not curated portfolio slides.

Genuine AI-Native Development Experience

There is a meaningful difference between a developer who uses AI autocomplete occasionally and one who builds with AI coding agents as a primary development workflow. When you hire a Codex developer from Unithink, you work with engineers who have shipped production software using AI-native development approaches the speed gains are real, and the code quality is maintained.

Engineering Judgment Alongside AI Speed

AI coding tools produce wrong code with the same confidence they produce right code. The engineers who get sustained value from them are those who have strong enough engineering judgment to know which outputs to accept, which to refactor, and which to throw away. Our AI native developers bring that judgment alongside the AI tools.

Full AI Development Workflow Coverage

Hiring a vibe coding developer who covers OpenAI Codex, GitHub Copilot, AI agent workflows, test generation, code review automation, and legacy modernisation requires access to specialists with real AI-native depth. Our team holds that range. We match the right Codex developer to your specific development requirements.

Full Accountability From Brief to Handover

Whether you hire a Codex expert for a specific application build, an AI coding agent developer for a workflow automation system, or a dedicated AI native developer for ongoing product work, our delivery model includes structured milestones, code quality reviews, and post-handover support. We own the outcome, not just the hours.

Business-First AI-Native Development

We don't use AI coding tools to lower our development standards. We use them to ship more value in less time while maintaining the production quality your business depends on. We measure success by what we deliver for your business, not by how many AI tokens we generated to build it.

Flexible Engagement Models

Hire a Codex developer for a specific project, an AI-augmented development team for a defined product sprint, or a dedicated AI native developer for ongoing engineering capacity. Scale without the overhead of traditional recruitment.

[ How we work ]

Our Project Delivery Process

A clear, proven process that takes your business challenge and turns it into a working, measurable solution, one we design together, deliver reliably, and build to perform long after launch.

Using AI Coding Tools Effectively Is a Skill. We Have Developed It in Production, Not in a Tutorial.

When you hire Codex developers from Unithink, you are not getting developers who list GitHub Copilot on their resume because they tried autocomplete once. You are getting AI-native engineers who use Codex, AI coding agents, and vibe coding workflows professionally knowing which tasks these tools accelerate reliably, how to catch their failure modes, and how to integrate AI-generated code into production systems that hold up. Organisations that hire Codex developers through Unithink work with a team whose production track record is verifiable through real deployed systems, not curated portfolio slides.

Still have questions?

Our expert team is here to help you find the right AI development solution for your business.

FAQs

Frequently Asked Questions

What is a Codex developer and what do they do?
A Codex developer is an engineer who works professionally with OpenAI Codex, AI coding agents, and AI-native development workflows using tools like the OpenAI Codex API, GitHub Copilot, and similar AI coding assistants to build, test, and maintain software faster than traditional development approaches. The distinguishing skill is knowing how to use these tools effectively while maintaining production code quality, not just using AI autocomplete.
What is vibe coding and is it suitable for production applications?
Vibe coding refers to building software primarily through natural language instructions to AI, rapidly iterating on AI-generated implementations. In the hands of developers with strong engineering judgment, it is a legitimate and productive development approach for many application types. The key distinction is between vibe coding that produces production-quality, maintainable codebases and vibe coding that produces demos that fall apart under real use. Our developers do the former.
What is OpenAI Codex and how has it evolved?
OpenAI originally released Codex as the model powering GitHub Copilot. In 2025, OpenAI launched a new Codex as a cloud-based autonomous coding agent that can independently write, test, and review code in isolated sandboxes. Our Codex developers work with this newer agentic Codex as well as the broader ecosystem of AI coding tools that have emerged around similar technology.
How quickly can I get started after I decide to hire a Codex developer?
For most engagements, your Codex developer can be onboarded and contributing within one to two weeks of the initial brief. AI-native developers can often ramp faster because the AI tooling helps them understand codebases quickly. We move quickly because every week without your developer contributing is lost development velocity.
Can AI-native development be used for complex enterprise applications, not just simple tools?
Yes, with appropriate workflow design. AI coding tools are highly effective for implementing well-specified features, generating tests, writing documentation, building integration code, and refactoring existing code. They require more careful direction for novel algorithm design and critical business logic. Enterprise applications benefit from AI-native development on a large share of their implementation work while maintaining appropriate human engineering oversight on the parts that require it.
How do you ensure code quality when using AI coding tools?
Our AI-native developers apply the same code quality standards regardless of whether code was written by hand or generated with AI assistance proper review of all generated code, automated testing for AI-generated implementations, and refactoring of AI output that does not meet production standards. AI accelerates delivery; it does not lower the quality bar.
What is the difference between hiring a Codex developer and using GitHub Copilot ourselves?
Your team using GitHub Copilot is not the same as working with an AI-native developer who has developed expertise in directing AI coding agents effectively. The difference is in the depth of AI workflow knowledge knowing which prompting approaches produce better code, how to structure AI coding tasks for reliable output, and when to override AI suggestions. We offer that expertise alongside the tooling.
What does the engagement and payment structure look like when I hire a Codex developer?
You engage Unithink Technologies as a company one contract, one statement of work, structured invoicing, and a single point of accountability. No hidden fees. Dedicated engagements are billed monthly. Project-based work is billed at milestones agreed upfront.
Can I interview the developer before I commit to hiring them?
Yes. Once we shortlist developers whose experience matches your requirements, you can interview them directly before making a decision the same way you'd interview an in-house hire. You assess their technical depth and communication style firsthand, and you only move forward with the developer you're confident in.
Can I interview the developer before I commit to hiring them?
Yes. Once we shortlist developers whose experience matches your requirements, you can interview them directly before making a decision the same way you'd interview an in-house hire. You assess their technical depth and communication style firsthand, and you only move forward with the developer you're confident in.
Can you integrate Codex and AI coding agents into my existing development team?
Yes. We offer AI coding workflow consulting and team integration engagements where our AI-native developers work alongside your existing engineering team sharing workflow approaches, setting up tooling configurations, and demonstrating effective AI coding practices. We also offer capacity augmentation where our AI-native developers handle specific feature streams independently.

Ready to Hire Codex Developer that Delivers in Production?

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