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Dezycro

Freemium

Every time your Claude Code or Cursor agent starts a new run, it re-reads the codebase from scratch to figure out what your product already does — and you pay for that rediscovery in tokens and in time, on every single pass.

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Summary

Dezycro sits between your team and your coding agents as an ops layer: it hands structured product context — specs, journeys, decisions, observable behaviour — to the agent before it touches a file, so the agent builds from what you know rather than from what it can infer. A per-feature command inbox lets you push new instructions or invalidate stale work mid-run without watching the terminal. After the run, Dezycro generates checks from the original spec and flags where what was built disagrees with what was promised. The full history — decisions, assumptions, blockers, commits, verification results — lands in one exportable workbook. Critically, Dezycro never reads your source code; it works from specs and your API surface only.

Bottom line: Pick this if you're running Claude Code or Cursor on a spec-driven project and burning tokens on repeated context-gathering — but if your verification needs require deep static analysis of the source tree rather than observable API behaviour, Dezycro's code-blind stance becomes the ceiling.

Pricing Plans

Subscription

Free

Free

Free to start, no credit card

  • Basic access

Pro

$20per month

$20 a month

  • Full features

Team

$39per month

$39 per seat a month, three-seat minimum, unlimited free viewers

  • Team collaboration

Enterprise

Custom

Custom contract

  • SAML, SCIM, SLA

View full pricing on app.dezycro.ai →

Pricing may have changed since last verified. Check the official site for current plans.

Find your fit

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Pros

  • Context provisioning before the agent run starts, so the agent skips the token-expensive rediscovery phase and builds from your actual specs rather than from inference — which means faster runs and fewer hallucinated architectural decisions.
  • Mid-run command inbox per feature, so you can redirect or invalidate stale work while the agent is running without killing the session and starting over.
  • Spec-driven verification that generates checks from what you said the feature should do and flags divergence between intent and built behaviour — so you catch drift before it reaches review, not after.
  • Source code never leaves your environment, because Dezycro works from specs and observable API surface only, which means teams with strict data-handling requirements can use it where repo-indexing platforms are ruled out.
  • Every agent decision, assumption, blocker, and verification result lands in one exportable workbook tied to its commit, so you have an auditable trail of why the agent did what it did — without reconstructing it from terminal logs.

Cons

  • Verification is bounded by observable API behaviour and OpenAPI surface. If your acceptance criteria require checking internal logic, code coverage, or anything the agent wrote that does not surface through an endpoint, Dezycro cannot reach it — teams with those requirements run a second static-analysis or coverage tool alongside it, maintaining two verification records.
  • No API and no self-hosted deployment option exist, so any team that needs to trigger Dezycro steps from a CI pipeline programmatically, or that operates in an air-gapped environment, cannot integrate it at all. Those teams switch to a verification layer they can run on their own infrastructure.
  • Dezycro is scoped to Claude Code and Cursor as the stated agent targets. Teams running agents on other runtimes or custom agent frameworks get no native integration and would be managing context hand-off manually — at which point the ops-layer value proposition breaks down and a more general agent-management platform becomes the pragmatic replacement.

About

API Available
No
Self-Hosted
No
Last Updated
September 25, 2026

Best For

Who it's for

  • Teams using Claude Code or Cursor agents
  • Projects requiring spec-driven verification
  • Users who want agent ops without exposing source code

What it does well

  • Providing product context to AI coding agents upfront
  • Steering agents mid-run with new instructions
  • Verifying agent-built features against original specs
  • Maintaining an auditable workbook of agent decisions and results

Integrations

OpenAIAnthropicBedrock keys

Frequently Asked Questions

Is Dezycro free?
Dezycro offers a free option alongside paid upgrades. Check the current allowances and terms before choosing a plan.

Coding agents see only the file in front of them. On every run, they spend a substantial share of their token budget working out what the product already is before they write a single line — and that rediscovery compounds across features, across teammates, across days. Dezycro is the ops layer that stops the loop: it provisions agents with structured context upfront (specs, user journeys, prior decisions, observed behaviour), lets you steer them mid-run through a per-feature command inbox, verifies what they built against the original spec, and collects every decision and blocker into a single auditable workbook tied to the commit that produced it.

The differentiating constraint is that Dezycro is intentionally code-blind. It never uploads, clones, or indexes your repository. Verification runs against your product’s observable behaviour — endpoints, OpenAPI surface — not against source. This means your IP stays local, your workbook remains yours and is fully exportable, and none of your spec data trains any model. For teams where source-code exposure is a hard blocker, this architecture is the reason to choose Dezycro over an agent platform that requires repo access.

Dezycro fits tightest on teams already using Claude Code or Cursor who are shipping spec-driven features and want a verification record without adding a separate QA pipeline. It does not replace those agents — it wraps them. Where it shows strain: if your verification requirements go beyond observable API behaviour into static analysis, code coverage, or dependency graph checks, the code-blind model means Dezycro cannot reach that layer, and teams end up running a second verification tool in parallel. There is also no API and no self-hosting option, so teams with air-gapped environments or a need to embed Dezycro into existing CI pipelines programmatically will hit that wall immediately.

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