Deploy the agentic code

Deployment support

Deploy the agentic code

In most organizations, a few developers already use Claude Code, Codex, or Copilot, often without a common framework. We support you in moving from these pioneering practices to a governed approach: tool selection, security, reference frameworks, generalization, and measuring the benefits.

Written proposal within 24 working hours, without obligation.

🚀 Code Agents🧩 Main tools on the market🛡️ Code security
🧭 Deployment trajectory👥 Internal contacts📊 Gain Measurement
Who is the game for?Organizations where some developers already use Claude Code, Codex or Copilot, often without a common framework.
Which tool should I choose?Claude Code, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI or Mistral Vibe: the choice depends on your ecosystem, your security and your licenses.
And what about our code?It all starts with a framework: enterprise offers without data reuse, authorized repositories, secrets management, agent permissions, sandbox.
How does it work?In three stages: define the framework with one or two pilot teams, equip internal experts, then generalize in waves.
How do we measure the gain?With indicators defined from the pilot stage: delivery time, rework rate, defects, test coverage, usage costs and adoption.

Agentic development, explained to decision-makers

A code agent receives an objective, explores the project, proposes a plan, modifies the code, runs tests, and fixes errors, all under the supervision of a developer. The role shifts towards specification, review, and architecture. This is a change in practice: it is implemented gradually, not mandated.

  • More value delivered per team: tickets, tests, migrations and internal tools move faster.
  • A controlled technical debt, provided that review and quality rules are set from the outset.
  • These are professions that build their own small tools, within a framework that the IT department has validated.

Our deployment trajectory

A three-step method, proven on our adoption programs, to establish agentic development over the long term.

01

Framing and directing

Start with one or two pilot teams and a clear framework.

02

Equipping key contacts

Transforming pioneers into internal relays.

  • Un Code Studio with the pilot team.
  • Shared library: instruction files, skills, commands, connectors.
  • Sharing rituals between teams.
03

To generalize and to govern

Spread in waves, measure, secure.

  • Team-by-team deployment, supported by designated contacts.
  • Indicators: delays, defects, rework, costs, adoption.
  • Governance of tools, access, models and data over time.
04

The prerequisites that we check with you

Four conditions make the difference between isolated pioneers and a practice that lasts.

  • Business licenses and offers tailored to your context.
  • A clear policy on code, secrets, and data.
  • Continuous testing and integration serve as a safety net.
  • A sponsor in the IT department and embedded team managers.

Measured results

More than 30 organizations supported, 4,850 professionals trained and an average satisfaction of 9,4/10. See our references →

FAQ

What is the difference between a coding assistant and a coding agent?

The assistant suggests lines of code while the developer writes. The agent receives an objective, explores the project, plans, modifies several files, runs tests, and corrects errors. The developer specifies, monitors, and reviews.

Which tool should I choose?

Claude Code, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, and Mistral Vibe each have their strengths. The choice depends on your ecosystem, your security and sovereignty requirements, and your existing licenses. We help you compare them based on your own scenarios.

Is our code secure?

Deployment begins with a framework: enterprise offerings without data reuse, scope of authorized repositories, secrets management, agent permissions, and a sandbox environment. We have supported organizations with high security requirements in the aerospace, space, and defense sectors.

How to avoid the technical debt generated by AI?

Through simple rules maintained from the pilot stage: specification before code, mandatory testing, human review of each modification, up-to-date instruction files and regular quality review.

Can professions also code?

Yes, for internal scripts and tools, provided there's a framework established by the IT department: authorized tools, dedicated environments, and rules for deploying to production. This is often where the gains are most noticeable.

How do you measure return on investment?

From the pilot stage, we define simple indicators: delivery time, rework rate, defects, test coverage, usage costs, and team adoption. These metrics inform decisions regarding expansion.

Build your agentic code trajectory

Describe your situation in a few lines: team size, tools in place, security constraints. We will get back to you within 24 business hours with a proposed course of action. You can also book a 30-minute consultation directly.

Response within 24 business hours with an initial proposal. No automated follow-up, no newsletter subscription.

Do you prefer to call or write? +33 1 89 16 48 05 or hello@nextstart.aiYour contact details are only used to reply to you.

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