AI-Governed Engineering

Build with AI.
Ship with Confidence.

AI can now write code faster than any team can review it. Vyazen Continuum is the layer that makes AI aware of your environment and keeps the speed accountable: every architecture decision, every token spent, traced back to a human-approved intent.

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Vyazen
Repositories
4 of 12 repositories in acme-corp are connected
acme-corpGitHub App · selected repositories
Webhook
Healthy · 38 ms
Last event
push · 12s ago
web-appTypeScriptmainrotate session tokens on refresh7be20d42h agoIndexed812K nodes
infra-coreHCLmainbump aws provider to 5.6219c4f0a1d agoIndexed96K nodes
mobile-sdkKotlinmainadd offline retry queuee05b7c23d agoIndexing · 68%
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pushpayments-core · a3f9c1e re-indexed, 214 nodes changed12s
pull_requestweb-app #482 merged into main2h
installationmobile-sdk added to the GitHub App3d
ledger reconciliation · recon-v2
payments-core  ·  task/recon-v2 from main
GRAPH 1.24M NODES
Reasoning
Change touches ledger_txn and the RECON_V2 stored proc. Now exploring the repo–task relationship and the cascade path before touching orchestration.
✓Explore subagent12 tool calls›
✓2 readsledger_txn.sql · RECON_V2.pls
Reasoning
Root cause confirmed: task.repoId isn't guarded before orchestration. Adding the helper before markFailedSafely.
✓editprovisioning-orchestrator.service.ts-2+14
const task = await this.taskRepo.findOneBy({ id: taskId }); return { task, repo: task.repo };private async loadTaskAndRepo(taskId: string) { const task = await this.taskRepo.findOneBy({ id: taskId }); if (!task.repoId) throw Err.invalidTransition('no repo'); return { task, repo };}
recon-v2
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Progress
  • ◌Starting uprunning
  • ○Research—
  • ○Clarifying—
  • ○Designing—
  • ○Implementation—
  • ○Verification—
  • ○Review—
  • ○Applying fixes—
  • ○Wrapping up—
Documents (0/5)
○Quick-review.md
○Design-spec.md
○Implementation-spec.md
○Deep-review.md
○Handoff-summary.md

Three layers between your agents and production

Coding agents write fast. Vyazen Continuum gives them a map of your system, a governed path to merge, and a line into the tools your team already trusts.

L1Context

The Complete Picture of Your Application Logic

Agents get the full logic of your application, across code repositories, database stored procedures and deployment infrastructure. Every relationship between components is mapped, so agents work from how your system is actually connected, not from whichever files they happened to open.

Without this layer

Each agent sees a different fragment and fills the gaps with assumptions.

L2SDLC

A Structured Workflow From Feature to Release

Every code change moves through research, spec, implementation and testing, and each stage is checked before the next one starts. Changes that fail testing go back to spec instead of landing on your reviewers' desk.

Without this layer

Review and security checks fall behind once agents write 5 to 10x more code.

L3Integrations

Every Tool in Your Environment, Connected

Connect Slack, your ticketing system, code review tools and logging platform. Agents take work from the places your team already uses and post results back to them, so you can put agents to work across more use cases without changing your stack.

Without this layer

Agents work blind to everything your team already knows.

The advantage compounds as codebases grow

Retrieval quality on a 200K LOC codebase doesn't predict what happens at 2M LOC. We benchmarked Vyazen Continuum against Claude Code on both.

Vyazen ContinuumClaude Code
Source Adherence
98%
85%
··
Vyazen repo · 200K LOC
+13 pts
95%
72%
··
Babylon repo · 2M LOC
+23 pts
Retrieval Accuracy
92%
82%
··
Vyazen repo · 200K LOC
+10 pts
87%
62%
··
Babylon repo · 2M LOC
+25 pts

Performance gap widens at scale. On the 10× larger repo, Vyazen's lead grows from +13 → +23 points on Source Adherence and +10 → +25 points on Retrieval Accuracy.

Deployment choices. Zero compromises on control.

Continuum adapts to your infrastructure and compliance posture, not the other way around. Vyazen has deployment access only for updates and support. No runtime access to your code or data, in any configuration.

SaaS

Fastest to deploy

Vyazen-hosted, with the same governance and context graph as on-prem. Best fit for teams without a hard data-residency requirement.

On-Premise · Vyazen LLMs

Captive on-premise

Runs entirely inside your environment. Vyazen supplies and manages the model layer (open-weight or licensed), so no code or data ever leaves your infrastructure.

On-Premise · BYO-LLMs

Full model-layer control

Bring your own LLM provider (Anthropic, Azure OpenAI, or private), and Continuum's governance and context graph run against it unchanged.

How we work with you

SDLC Modernization Engagement

Vyazen is deployed into your engineering team to modernize how you build software, with Forward-Deployed Engineers and ongoing consulting embedded alongside your team, not handed off after go-live.

PHASE 01

Engineering Assessment

We index your codebase, map your workflows, and identify where governance gaps sit. Fixed scope, concrete output: a clear picture before any further commitment.

PHASE 02

Platform Deployment

Continuum is deployed into your environment, as SaaS or on-prem. The context graph is built on your live codebase. Your team is onboarded to the governed workflow.

PHASE 03

FDE Enablement

Forward-Deployed Engineers embed with your team, running the governed SDLC on real work, not a sandboxed pilot.

PHASE 04

Ongoing Advisory

Continued FDE and consulting support as your codebase, team, and governance needs evolve.

Services Engagement

Vyazen's own team uses Continuum to execute your modernization project directly: you get the outcome; we own the delivery and the governance.

Codebase Documentation

Functional docs, a living wiki, and dependency/data-flow maps generated from your source: logic captured as it behaves, not as remembered. Tech-debt hotspots flagged and ranked.

Codebase Reviews

Independent, graph-powered review across security, architecture, quality, and tech-debt. 100% of the estate reviewed, no sampling. One-time audit or continuous governed review on every merge.

Legacy Modernization

Behaviour-preserving migration to a modern stack. Tests generated from existing code first, so the new stack must pass the same tests as the old. Delivered in parallel with your engineers.

Stored Procedure Optimization

PL/SQL and T-SQL parsed into the graph as first-class artifacts. Bottlenecks and anti-patterns found with evidence, then refactored under behaviour-preserving tests.

Start with an Engineering Assessment

Fixed scope. A clear picture of where your engineering organization stands, and which engagement model fits, before any further commitment.

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Frequently asked questions