As AI accelerates how fast we build systems, architects need better tools to understand, plan, and evolve what's being built.

AI agents write code, scaffold infrastructure, and ship entire services in minutes. But understanding what was built — the dependencies, the decisions, the risks — still takes weeks. The gap between velocity and comprehension is widening.
of system integration projects fail due to lack of architectural understanding and hidden dependencies
Enterprise Architects
“Domain models become outdated as soon as they're created”
Static documentation fails to reflect reality
CTOs Describe
Technology decisions as “terrifying”
Without complete system context and dependency visibility
How AI acceleration is compounding a problem that was already hard
Architecture lived in documents that became outdated the moment they were written. Knowledge was siloed and hard to share.
AI agents scaffold services, generate infrastructure, and ship code faster than any architect can document or review. Understanding falls behind.
As AI-generated systems multiply, the gap between what exists and what anyone understands grows exponentially. Architects become the bottleneck.
The gap is accelerating
What took decades to build will now be generated in weeks
As AI-generated systems multiply, architects spend more time explaining what exists than improving what comes next. The tooling needs to catch up. Read our full research analysis →
Architectural blind spots don't just slow you down — they derail projects. ContextDx closes those gaps by making your architecture understandable, explorable, and actionable in minutes.
Here's how ContextDx works under the hood:
(Docs, word)
(Slack, Teams, etc)
See ContextDx in action

Decisions enforced, not forgotten—with full traceability back to the source.
source → Governance
“Apply ADR-001 as governing intent for this architecture?”

Share architectural context with stakeholders — on your terms, without being the bottleneck.
complexity → clarity
“When a customer calls about a failed order, what does the agent check across our systems?”
From evaluating new technologies to onboarding teams onto inherited systems — here are the ways ContextDx works from day one.
See exactly how new tools will fit — or conflict — with your current stack.
Map every dependency so no service or integration is overlooked.
Capture architectural decisions as they happen. Keep governance living, not forgotten.
Predict what a change will break before it breaks.
Get new team members up to speed on complex systems in hours, not months.
Know when your systems diverge from intended design before it becomes technical debt.
Architects consistently report the same frustrations:
- “I inherited a decade-old codebase. Original developers gone. Docs from 2019.”
- “Documentation becomes outdated as soon as it's created.”
- “No one understands how these services actually interact.”
Context-aware tools that work the way you do — from understanding inherited systems to capturing decisions as you make them.
Build workflows and agents that power your workboards — scoped to your architecture, type-safe by default.
Build agents with tool calling support
While agents can be built on-the-fly, creating intelligent agents with drag-and-drop workflows with full type safety is a breeze. Bind various tools including MCP tools, and construct agents on the fly with full type safety.
Compile time analysis
Comprehensive evals layer
Every tool designed to work together — a unified workspace that grows with your systems.
Our team can help with system landscape mapping, custom workspace design, on-premises deployment, and team training. From discovery to deployment in weeks, not months.
30 min • No commitment
Stop explaining systems and start evolving them. ContextDx gives your team the architectural context they need — without you being the bottleneck.
Or for insights on systems intelligence.