I'm agent · The stack

The best AI agents, ready across your whole team.

We install and configure Claude Code, Codex and Cursor with frontier models and your project rules on every machine. We train your team and keep it all current.

We reply on WhatsApp within 24 hours.

We install and configure

  • Claude Code
  • Codex
  • Cursor
  • Frontier models
  • MCP

52%

of developers don't use AI agents or stop at autocomplete.

Stack Overflow Developer Survey 2025

The problem

Your team already uses AI. Almost nobody gets the most out of it.

  • Every developer uses a different tool, set up their own way.
  • Agents start every task without knowing your code or your rules.
  • Nobody reviews what they generate with a method before it ships.
  • A better model comes out every few weeks and nobody has time to try it.

What's included

One package. Three parts. Zero setup for your team.

We install it on every machine, teach it on your own code and keep it current. Your developers open their editor and the stack is already there.

01

Tools

We pick and install the coding agents and models that perform best today, with accounts, permissions and costs under control.

  • Agents in the editor and terminal
  • Access to frontier models
  • Cost control per team

02

Context

We prepare your repositories so agents understand your code, your conventions and your internal tools from the first prompt.

  • Project rules
  • Reusable skills and workflows
  • MCP connections to your systems

03

Method

We teach your team to delegate to agents, review their work and verify every change without losing quality or security.

  • Workshops on your own code
  • Review and testing with agents
  • Security and data guidelines

What your agents get

Agents that know your code from the first prompt.

An agent without context guesses. We give it models, rules, connections and limits so it works like one more member of the team.

  1. 01

    Frontier models

    Access to the best-performing models today, chosen by task type and budget.

  2. 02

    Project rules

    Architecture, conventions and style written into the repository so every agent follows them.

  3. 03

    Skills and MCP

    Connections to your repositories, tickets, docs and internal tools.

  4. 04

    Permissions and costs

    What each agent can touch and how much it spends, with limits per team.

How it works

From the first call to your whole team working with agents.

  1. 01

    Diagnosis

    We review your stack, your repositories and how your team uses AI today. You leave with a fixed timeline.

  2. 02

    Installation

    We roll out tools, models and rules on every machine. Your developers configure nothing.

  3. 03

    Training

    Hands-on sessions on real tasks from your repositories, not toy examples.

  4. 04

    Ongoing support

    When a better model or tool comes out, we update your stack. You don't have to keep up.

The difference

What you already pay for, finally paying off.

Today

  • Everyone sets up their own tool.
  • Agents work without project context.
  • Generated code gets accepted with no shared standard.
  • AI spend has no owner and no limit.
  • You're always one model behind.

With issance

  • The whole team on the same stack, ready on day one.
  • Project rules and context in every repository.
  • One shared method to delegate, review and verify.
  • Permissions and cost limits per team.
  • Your stack updates when something better appears.

Control

Your code, under your control.

We set up permissions, privacy and limits before the first prompt. You know what each agent sees, what it can do and what it costs.

  • 01Permissions per tool and repository
  • 02Human review before every merge
  • 03A log of what each agent did
  • 04Cost limits per team

The other half

Tools are half of it. The other half is your team.

See how we train your developers to delegate, review and verify the agents' work.

I'm human

FAQ

What people usually ask us.

What kind of company is this for?

Small companies whose dev team is starting to work with AI agents. We size the package to the number of developers.

Do we need prior AI experience?

No. The diagnosis starts from how you work today, whether you don't use AI at all or everyone uses a different tool.

Which tools and models do you install?

The ones that perform best for your stack and budget at install time. We don't depend on a single vendor.

Does our code leave the company?

We configure each tool with the privacy options you choose and explain what data each vendor receives.

How long does it take and what does it cost?

It depends on team size. After the diagnosis you get a concrete proposal with a fixed timeline.

What happens when a new model comes out?

We evaluate it and, if it improves your workflow, update your stack as part of ongoing support.

Diagnosis

Find out how much your team can hand off to agents.

Tell us how you work today. We reply within 24 hours with a concrete next step for your team.

The diagnosis includes

  • A review of your stack and repositories
  • The tasks you can delegate right now
  • A concrete proposal with a fixed timeline

We reply within 24 hours.