Tool · Build

Workbench

The Workbench is where developers build with coding agents on real projects, on your own infrastructure. It turns a ticket into a plan, runs agents in isolated workspaces, and keeps a person in control of every result.

Coming soon
The ESACA Context Builder: the Coding step, with the requirements-to-review workflow and a subtask dependency graph.
The Context Builder: from requirements to review, with subtasks and their dependencies.

Capabilities

From a ticket to reviewed, working code

01

Plan from a ticket

Turn a ticket or an intent into an implementation plan and break it down into concrete subtasks before any code is written.

02

Multi-agent orchestration

Run several coding agents in defined workflows, each handling part of the work, instead of one agent doing everything at once.

03

Pluggable agents

Works with OpenCode, Claude Code, Aider and CLI-based agents, so teams are not locked into a single agent runtime.

04

Multi-repo, pinned state

Work across several repositories at known, pinned commits, so a task is well defined and the result is reproducible.

05

Isolated execution

Each agent works inside an isolated, sandboxed workspace rather than loose on the host, so it only touches what it is meant to.

06

Human-in-the-loop, binding

A person stays in control. Agents can propose and mark work done, but the human keeps the override and the review stays binding.

07

Fits your development flow

Designed to sit alongside your existing Bitbucket and GitLab workflow, with an audit trail of every agent action.

08

Bring your chosen model

Use the model you selected in the Benchmark. Switch models without rewriting endpoints, on self-hosted or cloud compute.

Workbench · Positioning

For whom — and why

Not a speed tool for vibe coders, but the controlled entry into agentic development — especially with on-premise models.

01 — Beginners

Guided by the hand

Training wheels for getting started with AI — especially with on-premise models, where context and steering are more demanding. It tends to slow the hardcore vibe coder down.

02 — Enterprises

Processes baked in

Good software engineering — traceability, tests before implementation, quality gates, templates — becomes part of the AI process instead of the wild west.

03 — Compliance

Auditable & KRITIS-safe

Full audit trail, managed context instead of uncontrolled on-the-fly loading of skills or plugins — AI hacking is contained, teams work in a standardized way.

How it looks

A loop, not a one-shot

1

Ticket

Start from a ticket or an idea.

2

Plan

Plan and decompose it into subtasks.

3

Agents

Agents work in isolated workspaces.

4

Review

Review the result, with a full audit trail.

5

Handover

Hand over to your normal review and merge.

What it gives you

Agentic speed, without giving up control

Developers stay on real projects instead of throwaway sandboxes.
Code and context stay on your own infrastructure.
Every agent action is logged for review and audit.
It is part of the development flow, not an isolated one-shot.

Traceability & quality, built in

The Workbench bakes testing, quality assurance and traceability into the development process itself. An optimised agentic workflow produces results on your own on-premises models — tested as they are built, and traceable through every agent step back to the original requirements and specifications.

Kontakt aufnehmen


An initiative by
mgm technology partners Fsas Technologies, a Fujitsu company