Engineers who bring coding agents into your delivery workflow without lowering the bar on quality.
Bring coding-agent capabilities into your software delivery workflow with engineers who understand application architecture, implementation, testing, code review, and production readiness.
Where our Codex developers help
Profiles in 48–72 hours · You interview every developer
OpenAI Codex is a coding agent from OpenAI. It is available in ChatGPT and on the web as Codex cloud, as an IDE extension and as the Codex CLI in the terminal. It can work on tasks across a repository, run in cloud environments and help review pull requests.
A coding agent still needs engineers to define the task, configure environments and permissions, judge the output and take responsibility for what ships. Our developers do exactly that: they use Codex for well-suited tasks and apply architecture, testing and review practices to everything it produces. Prominent AI Services is an independent company and is not an OpenAI partner.
These are potential benefits, not guaranteed outcomes. What you gain depends on your codebase, task selection, environment setup and review discipline.
Delegate well-defined feature tasks to the agent and review the resulting changes.
Ask questions about how a large codebase works before making changes.
Work through clean-up, renames and upgrades in reviewable batches.
Draft tests, reproduce failures and investigate likely causes.
Use agent review on pull requests as an extra check alongside human reviewers.
Automate routine engineering chores such as dependency bumps and release tasks.
Support framework upgrades and migrations with tests to confirm behaviour.
Works with your repositories, branches, CI checks and approval rules.
We provide the engineering service around Codex: planning, implementation, review and support.
Assess where Codex fits your team and set up environments, instructions and review steps.
New applications and features built with agent assistance and human review (see software development).
Map an existing system and modernize it step by step (see legacy modernization).
Grow automated test coverage and add quality gates in CI.
Build and connect APIs and services (see API and system integration).
Automate repeatable engineering tasks with agents and scripts.
Improve how work is planned, reviewed and released, using DevOps practices.
Ongoing fixes, upgrades and new features for live applications.
Illustrative examples of where Codex developers can contribute. These are not descriptions of completed client projects.
Break a feature into agent-sized tasks, then review, test and merge each change.
Upgrade frameworks and libraries with tests that confirm nothing has broken.
Hand repetitive chores to the agent so engineers can focus on design decisions.
Add tests to untested areas before a risky change.
Implement endpoints, clients and integration tests against an agreed contract.
Add agent review to pull requests so human reviewers can concentrate on design and risk.
A governed process so agent output is always checked before it reaches production.
we review your repositories, goals, policies and current workflow.
we agree scope, architecture and which tasks suit a coding agent.
we set up environments, permissions and project instructions.
engineers delegate and implement tasks, then refine the results.
human review, automated tests and security checks on every change.
controlled deployment through your pipeline, then ongoing support.
No agent change is merged without human review · Least-privilege permissions · Controlled releases
Our developers support ASP.NET Core and C#, Python, Node.js, React, SQL databases, REST APIs, common testing frameworks and CI/CD on Azure and AWS.
Codex can support work across suitable engineering environments, subject to its current capabilities, the permissions it is given and how it is configured. It complements your existing stack rather than replacing it.
engineers experienced with Codex working only on your product.
a team with a lead engineer for larger roadmaps.
add engineers to your team for a defined period.
an agreed scope delivered against milestones.
help rolling out Codex across your engineering team.
We do not publish fixed rates. Pricing depends on skills, team size and engagement model, so request a quote and we will respond with options.
Using Codex does not by itself make code secure or correct. These practices do the work.
We combine software engineering, cloud and AI integration experience, and we are clear about what AI tools can and cannot do.
OpenAI Codex is a coding agent from OpenAI. It is available in ChatGPT and on the web, as an IDE extension and as a command-line tool, and can work on coding tasks, run in cloud environments and help review pull requests.
Yes. We provide engineers who use Codex as part of their workflow and apply standard review and testing practices to its output.
Yes. It can explore a repository, answer questions about the code and make changes, which our engineers then review and test.
It can draft tests and review pull requests. We use it as an extra check, and human reviewers still approve every change.
It can, provided access, data handling and review rules meet the organisation’s policies. We help set those up.
Through human review, automated tests, least-privilege access, dependency scanning and controlled releases.
Mainly .NET and C#, Python, Node.js, React, SQL databases, and Azure or AWS cloud services.
Dedicated developers, AI-enabled teams, staff augmentation, project-based development and workflow consulting.
Send an enquiry describing your project, stack and goals. We will discuss requirements and propose an engagement model.
Share your requirements and discover how our engineering team can support your software development goals.