Try it yourself
Most AI coding assistants are good at writing code.
What's harder is getting them to understand a system they have never seen, follow decisions they were never told about, and produce something consistent with what your team has already built.
Giving the AI enough context to generate something that fits your system takes a carefully written prompt, a detailed README, and hours spent assembling context from across your tools. And even then, the AI fills the gaps with assumptions that look reasonable but quickly accumulate technical debt.
What your Coding Assistant doesn't know
No matter how good your prompt is, you can't give the AI what it can't see.
Architectural decisions made last month live in Confluence or someone's head, invisible to any AI tool. Two developers prompting the same task produce different code. Every new service starts from scratch.
And no matter how good your prompt is, you can't reliably describe service boundaries, relationships, and constraints in plain text. Some problems can't be prompted away.
This is what Workbench changes
IBM DevOps Solution Workbench gives your coding assistant something better than a prompt: a structured, machine-readable design model that captures your architecture, your domain, and your team's decisions — and makes all of it available to the AI at generation time.
What that looks like in practice:
- A developer implements a feature correctly without knowing the architectural decision that governed it
- A new service is bootstrapped with the right entities, interfaces, and patterns — because your experts encoded that knowledge once, and it travels to the code automatically
- What an Architect and a Business Analyst decide together becomes the context every developer and every AI works from
These trials are short, hands-on and work with your own IDE and coding assistant. Each one proves a specific point. Pick the one that matches what you want to see.
Pick a Trial to get Started
Turn Existing Code into a Design Model
Most teams don't start from a blank slate. See how reverse engineering turns an existing codebase into a structured design model — something to refine and build on, instead of starting from scratch.
Extend Your Design Through Conversation
There is a new requirement. Instead of jumping straight to implementation, ask our Design Assistant what's already there, what's missing, and add it — in plain language, without switching tools.
From Prompt to Design-Aware AI
See what changes when your coding assistant works from a structured design model instead of a plain text prompt — including decisions someone else made that you never knew about. For developers who use coding assistants.
Bootstrap a Service from a Shared Design Model
Generate a complete microservice from a shared design model — entities, persistence, endpoints, tests. One command, no instructions required. For developers and architects.
Make Workbench Speak Your Language
Customise the modelling language to your organisation's vocabulary, so a BA, an architect, and a developer can work in the same place without learning each other's notation. For architects and team leads.