Technology & SoftwareCode Generation

Capgemini moves its self-hosted SovBox coding assistant to Mistral's Codestral, raising developer adoption from 30% to 100% across about 50 client projects

CapgeminiCodestral

Capgemini's 'RAISE for Private Software Engineering' (SovBox) is a self-hosted internal software engineering assistant for regulated clients in aerospace, defence and the public sector. Swapping the earlier open-source LLM for Mistral's Codestral, with no infrastructure change, raised code completion accuracy from about 50% to 90% and developer adoption from 30% to 100%, with the roughly 50 client projects reporting productivity savings. Capgemini is now rolling out the full Mistral Code solution.

Overview

Capgemini's 'RAISE for Private Software Engineering' (SovBox) is a self-hosted internal software engineering assistant for regulated clients in aerospace, defence and the public sector. Swapping the earlier open-source LLM for Mistral's Codestral, with no infrastructure change, raised code completion accuracy from about 50% to 90% and developer adoption from 30% to 100%, with the roughly 50 client projects reporting productivity savings. Capgemini is now rolling out the full Mistral Code solution.

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The challenge

Capgemini's regulated clients in aerospace, defence and the public sector need self-hosted AI solutions because strict privacy and data control prevent cloud offerings. Early open-source coding assistants had only 30% adoption because developers found about 50% accuracy insufficient, and legacy applications from the 1980s needed support in languages such as ADA, C and C++.

The solution

Capgemini replaced the earlier open-source LLM in its self-hosted coding assistant (RAISE for Private Software Engineering, also known as SovBox) with Mistral's Codestral, without infrastructure changes and keeping the IDE and CI/CD integrations. It is now rolling out the full Mistral Code solution, including Codestral Embed and Devstral for RAG and CI/CD integration.

Code Generation

Reported business value

The source reports developer adoption rising from 30% to 100%, code completion accuracy of 90% versus 50% for previous solutions, and about 50 client projects reporting productivity savings within 6 months. All figures are vendor-reported.

Sources

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This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)

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