One senior engineer directs a fleet of Codex agents that read your repo, open pull requests and run in sandboxed CI/CD, and a person approves every merge. Hire the engineer for a scoped project, or place them on your team in 2 to 4 weeks, from $60,000 a year, with a 90-day replacement guarantee.
Free 30-min call · No pitch, no slides
OpenAI Codex turns natural-language intent into working code, but a raw CLI agent is not the same as a production engineering system. The gap between a clever prompt and a reliable, repo-aware automation is where most teams stall.
We are a Codex development agency, not a prompt shop. One engineer runs a fleet of Codex agents wired into your actual repository, CI/CD, and toolchain, so it ships real pull requests, runs in sandboxed isolation, and respects the guardrails your engineering team already depends on.
Codex makes it easy to generate code and hard to trust it. The moment an agent touches a real repo, the demo runs into the reality of CI, reviews, and security.
A Codex agent with unchecked write access can ship broken code, leak secrets, or rewrite the wrong files. Without sandboxing, scoped permissions, and human approval gates, autonomy becomes a liability instead of an advantage.
Codex that does not understand your conventions, dependency graph, and architecture produces code that compiles but fails review. Generic prompts ignore your real codebase, so the output never lands cleanly in a PR.
Running Codex by hand is a toy. Without pipelines, sandboxed execution, and test gates, there is no way to run agents safely at scale, repeat results, or catch regressions before they hit your main branch.
One engineer, one fleet of agents, the full lifecycle of autonomous coding: from the first Codex CLI agent to governed CI/CD pipelines running across your repos.
We build a fleet of agents on Codex CLI that read your repo, plan changes, and open real pull requests. Scoped permissions, approval gates, and structured prompts turn raw autonomy into a dependable engineering teammate.
We wire Codex into your pipelines to automate PR review, large-scale refactors, dependency upgrades, and migrations. Agents run on triggers, post diffs for review, and ship only what passes your checks.
We run every agent in isolated, sandboxed environments with controlled network and file access. Codex executes, tests, and iterates safely so nothing untrusted touches your production infrastructure.
We deploy Codex to write and maintain test suites, unit, integration, and regression, that lift coverage on legacy code and lock in behavior before the agent ever refactors it.
We do not just hand you a prompt. One senior engineer architects a governed coding system around your repo, your reviews, and your risk tolerance.
Repo, stack, and workflow mapping; risk assessment
Technical blueprint & automation ROI projection
Agent design, permission scoping, sandbox plan
Codex agent & CI/CD pipeline map
CLI agents, CI hooks, sandboxed execution, test gates
Live, governed Codex automations
Monitoring, prompt tuning, and scaling across repos
Ongoing reliability & governance protocol
A clever prompt will not survive contact with your real codebase. Production-grade autonomous coding takes engineering discipline, not a bigger prompt.
You get a senior engineer directing a fleet of Codex agents working in parallel, the coverage of a small team without the hiring timeline or the headcount.
Every agent runs with isolation, approval gates, and test coverage. Autonomy with guardrails, so Codex ships work you can trust on your main branch.
We integrate Codex with your CI/CD, version control, and existing tooling, so agents fit the workflow your engineers already use rather than forcing a new one.
We build inside your repos and infrastructure. You keep the agents, the prompts, and the pipelines, no lock-in, no black box you cannot maintain.
Book a strategy call and we will map your repo, your pipelines, and the coding work you want to automate, then design the governed Codex agent fleet to ship it safely.
In this call, we'll walk through your project scope, timeline, and goals - so we can both check if we're a fit. No obligation, no slide deck, just a working session.
Share the coding workflow you want to automate, then schedule the call on this page.
Choose a time for your free 30-minute strategy call. Live availability is shown in your timezone.
In this call, we?ll walk through your project scope, timeline, and goals?so we can both check if we?re a fit. No obligation, no slide deck, just a working session.
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Before we build
Practical answers about scope, delivery, ownership, and working with ManasFlow.
Codex is OpenAI's coding agent, available through Codex CLI, that reads a repo, plans changes, and writes code from natural-language intent. We run fleets of these agents to handle PR review, refactors, and test generation inside your real engineering workflow.
Yes, when it is governed properly. Every agent runs in sandboxed isolation with scoped permissions, approval gates, and test checks, so Codex can only act within boundaries you control and nothing untrusted reaches your production branch.
That is exactly what we build. We integrate Codex into your CI/CD so agents run on triggers like new PRs or scheduled refactors, post diffs for human review, and ship only what passes your existing checks and tests.
Common builds include PR review agents, large-scale refactors, dependency upgrades and migrations, automated test generation, and repetitive code changes across many files, all running in sandboxed pipelines wired into your stack.
Completely. We build inside your repos and infrastructure, and you keep the agents, prompts, and pipelines. There is no lock-in, your team can run and maintain everything after handoff.
Because the engineer is not doing the work alone. They direct a fleet of Codex agents running in parallel across your repos, so you get the output of a small engineering team at the cost and speed of a single senior hire.
Codex is good at well-scoped code changes with a clear test to pass: refactors, dependency upgrades, test generation and repetitive edits across many files. It falls short on vague tasks, code with no tests, and design decisions that need product context. We scope each task so every agent run has a check it must pass.
A placed Codex engineer starts from $60,000 a year, joins your team in 2 to 4 weeks, and comes with a 90-day replacement guarantee and no recruitment fee. A scoped project, where we build the Codex pipeline once and hand it over, is priced after the free audit because the cost depends on how many repos and review gates are involved.
Yes. Through Engineer Placement we place an engineer from our own bench who runs Codex agents on your team, in 2 to 4 weeks, from $60,000 a year, with a 90-day replacement guarantee and no recruitment fee. A scoped project fits better when you only need the pipeline built once.
A freelancer usually runs Codex on their own machine, so the setup leaves with them. An in-house hire takes weeks to recruit before any work starts. We build the agent pipeline inside your repo and CI, with sandboxing and review gates, so it keeps working after handoff whoever runs it.
Hold off when the repo has little test coverage, when the task needs a product decision rather than code, or when nobody on your side can review the pull requests. Agents then produce diffs no one can verify. We often start with test generation to fix the first problem before automating changes.
No. In the pipelines we build, agents open pull requests and run your checks, and a person approves the merge. Write access is scoped, runs are sandboxed, and anything that fails your tests never reaches review. You can loosen the gates later for low-risk tasks, but we start strict.
Repo access for the audit, a short list of the coding work you want automated, and one engineer who can review pull requests. From the audit we return the agent design, the permission scope and the sandbox plan before any agent touches your code.