Technical design & scoping
Every design decision, grounded in your system context
Available across
- Jira
- Linear
- Slack
- Claude Code
Trusted by teams at
Spec to implementation-ready design
AI Architect turns every spec into a grounded, implementation-ready plan, ready for coding agents to act on autonomously.
Know what is buildable before you commit.
fewer planning decisions reversed mid-sprint
A grounded technical design. Before anyone builds.
engineers designing with full system context
See what your change will touch.
production incidents
prevented upstream
Epics broken into work your team can act on.
of scoping work in one session.
Everything your planning workflow needs
Auto triage
Output generated only for specs that meet the complexity threshold.
Flexible trigger
Automatic on spec creation, or on demand via a comment or label.
Iterative refinement
Multiple versions of the same artifact generated as requirements evolve.
Custom templates
Output structured to your team's format, not Bito's default.
Web research
External patterns and industry context pulled alongside your internal knowledge graph.
Detailed agent specs
Workstream-level spec documents ready for your coding agent.
Works where your team does
Issue trackers
Coding agents
Collaboration tools
Built for enterprise
No code storage or model training
Your code stays yours. No code is stored. No model is trained.
Flexible deployment
Deploy on-prem or in Bito cloud, your choice.
Security and compliance
SOC 2 Type II certified. End-to-end encrypted.
From engineering teams
Frequently asked questions
Coding agents can attempt technical design, but they work from what is in the context window, not your full system. They miss cross-repo dependencies, existing patterns, past architectural decisions, and business context that live outside the files you share with them. AI Architect builds a knowledge graph across your entire system first, so the technical design it produces is grounded in how your system actually works, not just the files visible in the session.
AI Architect indexes your repositories, commit history, Jira and Linear tickets, Confluence docs, and observability data into a live knowledge graph. It maps services, dependencies, APIs, architectural patterns, past decisions, and business context across your entire system. The graph updates dynamically as your code and tickets change.
Yes. AI Architect triggers automatically when an epic or story is created in Jira or Linear, posting the planning and design output directly into the ticket. No new tools, no workflow changes required. Teams can also trigger it on demand via a comment or label in the ticket.
No. Your code is never stored and never used to train models. AI Architect is SOC 2 Type II certified and supports both cloud and on-prem deployment.