Qontext for Engineering
Give your coding agents the business context.
The context that is not in the codebase
Qontext gives coding agents current product intent, customer context, and company knowledge that cannot be found in the codebase alone.
Build with a clearer understanding of the product and customer
100%
of coding agents grounded in product intent and customer context
3×
faster access to the context behind unfamiliar code
40%
fewer review cycles caused by missing context
Put your engineering context to work
Context-aware coding agents
Give coding agents product intent, customer context, architecture decisions, and standards.
Central skill management
Share reusable instructions for implementation, review, testing, and security across Clients.
Permission-aware context access
Limit which product, customer, security, and operational context each Client can reach.
Traceable agent activity
Review the context a Client retrieved when an implementation or answer needs investigation.
See all use cases
Trusted by the most AI-native engineering teams
Context fragmentation is one of the toughest infrastructure problems in AI today, and Qontext is solving it at scale.
Jan Oberhauser
CEO & Founder, n8n
Maintaining context across ten agents was manageable, but not scalable.
As AI expands, Qontext provides a single, up-to-date context base that powers them all.
Laurenz Ohnemüller
AI Engineer, Flink
After months of exploring and scaling AI, we realized high quality context is THE key to success.
Maximilian Gebhard
AI Lead, FINN