Tool and model sprawl
Coding subscriptions and APIs grow without one view of cost, quality or policy.
For CTOs, CIOs and product engineering leaders
Scale coding agents without multiplying tools and spend.
Wide Moat connects coding agents, cloud workspaces, repositories, tickets and CI/CD through one access, policy and cost layer. Existing developer tools keep working.
Why pay attention
Teams adopt coding tools quickly, but usage, subscriptions, model access and quality controls fragment. At the same time, internal application demand continues to outgrow engineering capacity.
Delivery bottlenecks
Testing, review, documentation and environment setup consume scarce engineering time.
Long tail of internal demand
Small but valuable apps stay in the backlog or become unmanaged workarounds.
Three processes to change first
See the trigger, action, control and metric.
Delivery workflow
- Trigger
- A scoped ticket is ready for implementation.
- Wide Moat
- Agents work across code, tests, documentation and review in approved environments.
- Human control
- Engineers own architecture, review and release approval.
- Measure
- Lead time from ready ticket to production.
Engineering knowledge
- Trigger
- A developer investigates code, an incident or a prior decision.
- Wide Moat
- Wide Moat searches code, tickets, logs and documentation with source links and permissions.
- Human control
- The engineer verifies the conclusion before changing production.
- Measure
- Time to first useful answer or root cause.
AI tool governance
- Trigger
- Teams use multiple assistants, subscriptions and APIs.
- Wide Moat
- The gateway applies model routing, budgets, policy and usage analytics.
- Human control
- Platform owners approve tools, models and exceptions.
- Measure
- AI cost per active developer and successful delivery workflow.
Works with your stack
Connect existing systems.
Code repositories, issue trackers, CI/CD, cloud workspaces, observability, documentation and existing coding assistants.
Why current tools are not enough
Add the shared layer.
Coding assistants stay in the IDE. Wide Moat adds the shared gateway, company context, cloud workspaces, delivery agents and controls that individual assistants do not provide.
Human control
Keep accountability.
What proves value
Agree the KPI.
First rollout
One function. Three steps.
Select one team and repository.
Connect tickets, code and CI in a governed workspace.
Measure lead time, review quality, adoption and model cost before expansion.
Questions buyers ask
Clear answers before the demo.
Does this replace existing coding assistants?
No. Wide Moat can govern and complement them while adding shared context and end-to-end delivery agents.
Can code reach external models?
Model and data routing is policy-controlled; sensitive paths can be restricted to approved environments.
Who owns the platform?
Typically a small platform team owns the shared layer while product teams own their workflows and releases.
Start with one valuable function
Review the engineering workflow
We will map the systems, human decision points, baseline and success metrics for the first workflow.