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.
See Qontext in action
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
Qontext gives our AI assistant the right support knowledge in under one second and keeps it current, without us having to build and maintain retrieval infrastructure.
Fabian Roth
CTO, CarOnSale
Context fragmentation is one of the toughest infrastructure problems in AI today, and Qontext is solving it at scale.
Jan Oberhauser
CEO & Founder, n8n
As we build more of LIZY’s operations around agents, we believe context is what decides whether they work, and Qontext is the right tool to centralise it. The knowledge lives in one place, and every new agent starts from what we’ve already built.
Vince Castus
CTO, LIZY