Provision agent context
Centralizes specifications, user journeys, decisions, and product behavior in a workbook that agents can read before implementation.
Dezycro
Dezycro is an operations layer for teams using AI coding agents such as Claude Code and Cursor. It provisions product context, directs work in progress, verifies implementations against specifications, and records decisions without uploading, cloning, or indexing the repository.
AI coding agent operations
Dezycro is an operations layer for teams building software with AI coding agents such as Claude Code and Cursor. It organizes the context and controls around agent-assisted development so agents can work from product specifications and observable behavior instead of rediscovering the product on each pass.
Its workflow combines four stages in one workbook: Provision gives agents specifications, journeys, decisions, and product behavior; Direct lets users issue feature-level instructions while work is running; Verify generates checks from the specification and compares them with the built product; and Observe records decisions, assumptions, tasks, blockers, commits, and verification evidence. Dezycro says it does not read, upload, clone, or index source code, and that the workbook can be exported in full.
Features
Direct agents during execution
Provides a per-feature command inbox for sending new instructions and invalidating stale work while an agent is running.
Verify against specifications
Generates checks from the product specification, runs them against the built product, and identifies disagreements between intended and observed behavior.
Observe project state
Records decisions, assumptions, tasks, and blockers in one workbook, linking the work to commits and verification evidence.
Keep source code out of the workflow
Uses specifications and observable interfaces such as endpoints and OpenAPI rather than accessing the repository itself; the source says repositories are not uploaded, cloned, or indexed.
Bring an AI provider key
Allows teams to use their own OpenAI, Anthropic, or Bedrock API key on every listed tier.
Use cases
Prepare an agent for a new feature
Before an agent begins a feature, a team can provide its specifications, journeys, decisions, and behavioral context in a form the agent reads up front.
Redirect work in progress
When requirements change during implementation, users can send feature-level instructions and invalidate stale work without continuously supervising the terminal.
Validate implemented behavior
Teams can turn their product promises into checks and run those checks against the built product to find mismatches between requirements and behavior.
Track decisions and blockers
A team can keep assumptions, decisions, tasks, blockers, commits, and verification results together when coordinating agent-assisted development.
Operate without repository access
Organizations that do not want a repository uploaded to the service can use the stated specification- and interface-based workflow, while retaining an exportable workbook of their records.
Pros and Cons
Pros
- Covers provisioning, live direction, verification, and project observation in a single workflow.
- Keeps source code outside the stated product workflow; repositories are not uploaded, cloned, or indexed.
- Connects verification evidence and project records to commits in the shared workbook.
- Supports customer-managed OpenAI, Anthropic, or Bedrock keys across every listed tier.
- Offers a free starting option without requiring a credit card.
Cons
- The available source provides limited detail about setup, supported integrations beyond Claude Code and Cursor, and workflow limitations.
- The product depends on specifications and observable interfaces, so the quality of its context and checks is tied to what the team documents and exposes.
FAQ
Who is Dezycro for?
Dezycro is designed for teams building with AI coding agents such as Claude Code and Cursor. The available source does not specify additional supported agents or integrations.
Does Dezycro access source code?
Dezycro works from specifications, product decisions, observable behavior, endpoints, and the OpenAPI surface. It does not read, upload, clone, or index the repository source code.
How does the Dezycro workflow work?
The workflow is organized into four stages: Provision, Direct, Verify, and Observe. Context is prepared before an agent starts, instructions can be sent while it runs, generated checks compare behavior with the specification, and work records are kept in a workbook.
What does Dezycro produce?
Dezycro provides a workbook containing specifications, decisions, tasks, assumptions, blockers, commits, and verification evidence. The workbook can be exported in full.
What pricing information is available?
Dezycro can be started for free without a credit card. The source also lists Pro, Team, and Enterprise offerings; the available page text does not establish further plan limits beyond the stated Team seat minimum and Enterprise features.
Quick Facts
- Category
- Developer Tool
- Primary users
- Teams building with AI coding agents
- Referenced agents
- Claude Code and Cursor
- Workflow
- Provision, Direct, Verify, Observe
- Source-code access
- No repository upload, cloning, or indexing
- Documentation
- docs.dezycro.ai
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