Bring AI into
existing engineering tools.
Avoid adding another place to maintain engineering information. KlugSpice uses data from your existing tools, helps prepare and check the work, and returns approved updates through agreed connections.
Keep familiar
engineering tools.
Bring KlugSpice into your existing process. Connect project information, review the AI’s work and return approved updates to your engineering tools. Start with the connections engineers need most.
Keep your process, team roles, reviews and templates. Agree which tools to connect, what data to use and what KlugSpice may update.
Put requirements, architecture, interfaces, safety and security constraints, and test intent into the task context your coding agent receives.
How connections are set up
Connections can use your tools’ interfaces, file exchange or a custom adapter. We agree which connections are available, what data KlugSpice can read and what approved updates it can return.
What connects.
What comes back.
Choose which tools and data KlugSpice can use, and which approved updates it can return. Your existing tools remain the official record.
| Engineering source | Examples | Information used and updated |
|---|---|---|
| Requirements, ALM & PLM | | Requirements, work products, changes, review status and traceability. |
| Models & architecture | SysML models | Components, interfaces, requirement assignments and design decisions. |
| Code & delivery | CI/CD | Implementation context, code changes and build results. |
| Tests & diagnostics | Test systemsLogs and diagnostic trouble codes | Test specifications, results, failures and defect evidence. |
| IDE & coding agents | | Relevant requirements, design details, interfaces, limits and test expectations for the coding task. |
Connections use your tools’ interfaces, standard exchange formats, file exchange or custom adapters. We agree availability, access and update permissions for your environment.
Faster code needs
better context.
Coding agents move quickly. Missing requirements or unclear interfaces can turn into wrong assumptions, extra review and rework just as quickly.
KlugSpice gives your coding agent the relevant requirements, design details and test expectations in your coding tool, so it has fewer gaps to fill with assumptions.
- 01 Requirements
- What the product must do and the acceptance criteria.
- 02 Architecture
- Where the behaviour belongs and how components connect.
- 03 Interfaces
- Inputs, outputs and how components depend on each other.
- 04 Safety & cybersecurity
- The constraints the implementation must respect.
- 05 What to test
- What must be demonstrated and how the result will be checked.
From shared project context to your IDE.An IDE connector brings this information into your coding tool as a package for the task. Engineers still review the result.
Fit AI into the existing toolchain.
Does KlugSpice replace Azure DevOps or another ALM system?
No. Existing ALM and development tools remain the system of record. KlugSpice uses agreed project data to prepare and check engineering work, then returns approved updates through the configured connections and permissions.
Which tools can a KlugSpice project connect to?
Toolchain options include Azure DevOps, Polarion, DOORS Next, Codebeamer, Jira, Teamcenter, GitHub and GitLab, plus test systems and IDE coding agents. Connection availability, versions, data scope and read or write behaviour are confirmed for the project.
What should be checked before enabling writeback?
Agree the target tool, record types, field mappings, access permissions and review workflow. Define which approved changes can be written back and how their sources and review records will be retained. A pilot can validate the exchange on a bounded workflow.
See KlugSpice in action.
Tell us which task takes too much time. See how KlugSpice can help engineers prepare the work and review the result.