Autonomous software delivery

From idea to production‑ready software — automatically.

A team of AI agents — every agile role from Product Owner to SRE — that pick up a GitHub issue or a Jira, Linear, ServiceNow, or Azure Boards ticket, plan against your existing codebase, write the code and tests, review for security, and ship production-ready software automatically.

Free during beta — bring your own AI provider key

Secure by default — encrypted secrets, tenant isolation, and cost guardrails

Works with GitHub & GitHub Actions today — your code goes only to the AI provider you choose

vydyra · acme/backend
Ticket received: "Add rate limiting to /api"
Analyzing repository… 14.1s
Planning implementation… 3.4s
Writing code… 44.7s
Creating automated tests… 18.4s
Generating CI security checks… 6.3s
Creating deployment pipeline… 3.2s
Production-ready build ready

Works with your existing stack

Available now
GitHubGitHub ActionsJiraServiceNowLinearAzure Boards
Coming soon
GitLabBitbucket

How it works

From idea to production-ready software.

01

Idea / Issue

Reads the task from a GitHub issue, maps the relevant codebase, and identifies constraints and acceptance criteria.

02

Build

Generates a complete, production-ready implementation directly in your repository — following your conventions and patterns.

03

Test

Generates automated tests plus a CI test and coverage step that runs in your repository’s GitHub Actions pipeline. No manual test writing required.

04

Validate

Generates CI steps for dependency scanning and linting, so issues surface in the pipeline before code merges.

05

Ship

Generates deployment pipelines (dev by default; production optional) that run in your repository’s GitHub Actions.

A team of agents

Not one AI. A whole engineering team.

Vydyra runs a team of specialized AI agents — each an agile role in the software lifecycle. They share context and hand work off to each other, just like a real team: the Product Owner scopes it, the Architect plans it, the Developer builds it, and reviewers sign off before anything ships.

  1. 01

    Product Owner

    Turns a raw idea into a clear user story — and estimates the cost before work starts.

  2. 02

    Business Analyst

    Assesses readiness and surfaces missing detail or ambiguity.

  3. 03

    Product Manager

    Synthesizes the spec and acceptance criteria.

  4. 04

    Architect

    Maps your existing codebase and plans the approach.

  5. 05

    Developer

    Writes production code that follows your patterns.

  6. 06

    Team Lead

    Peer-reviews the change against the requirement.

  7. 07

    Security Engineer

    Pen-tests the change for exploitable vulnerabilities.

  8. 08

    QA Engineer

    Verifies tests cover every acceptance criterion.

  9. 09

    DevOps Engineer

    Generates CI and deployment pipelines.

  10. 10

    Technical Writer

    Documents the change.

  11. 11

    SRE

    Reviews operational readiness before it ships.

An extensible role framework — start with these agile roles, add your own in future releases.

Model effectiveness

The best model for every role — chosen for you.

Different models are best at different jobs. Vydyra continuously measures each model’s quality, speed, and cost per role, ranks them, and routes every task to the most effective one — so you never have to guess which model to use where. Pick a preset and Vydyra handles the rest.

Bring your own provider key — free during beta.

  • Balanced

    Quality, speed, and cost weighed together

  • Highest quality

    Optimize for the best output

  • Lowest cost

    Optimize for the cheapest capable model

  • Fastest

    Optimize for lowest latency

Capabilities

Everything needed to ship production software.

Vydyra runs the full delivery workflow — not just code generation. Every capability runs automatically on every task.

Code Generation

Writes production-quality code in your language and style, following existing patterns in your repository.

Automated Testing

Generates unit, integration, and end-to-end tests alongside every implementation, plus a CI test and coverage step that runs them in your GitHub Actions pipeline.

Build Pipelines

Generates CI pipeline configuration that compiles, lints, and validates the implementation before any merge.

Deployment Pipelines

Generates deployment pipeline files for GitHub Actions (dev by default; production optional and disabled by default).

Security Validation

Generates CI steps for dependency scanning (OSV) and linting, so vulnerabilities surface in the pipeline before code ships.

Your tools, via MCP

Connect your own MCP tool servers so agents can query your systems and act with your own context during a run — not just what the model already knows.

Product demo

Full visibility into every run.

Track every step of the delivery workflow in real time — code, tests, security checks, pipelines, and reasoning, all in one place.

vydyra / acme/backend · run e4f9a2b1

acme/backend · issue #183

Add rate limiting to /api endpoints

Completed

7m 14s total

Assess issue09:41:020.8s
Synthesize spec09:41:032.1s
Analyze repository09:41:0512.3s
Create implementation plan09:41:173.4s
Generate code09:41:2047.2s
Generate automated tests09:42:0718.4s
Generate CI security checks09:42:256.3s
Create deployment pipeline09:42:353.2s
Open pull request09:42:381.2s
Pull Request #247 opened · pipeline configuredacme/backend

Compare

End-to-end delivery,
not just code generation.

Vydyra compared with traditional AI coding tools, capability by capability
CapabilityVydyraAI coding tools
A team of role-based agents, not one modelYesNo
Bring any model — Gemini, Groq, OpenAI, ClaudeYesOne vendor
Ranks & auto-selects the best model per roleYesNo
Plans against your existing codebaseYesSnippets in isolation
Built-in security & QA review agentsYesNo
Delivers production-ready softwareYesCode snippets only
Generates tests and a CI coverage stepYesNo
Generates CI security checks (OSV + lint)YesNo
Creates deployment pipeline logicYesNo
Runs from GitHub issues or your ticketsYesRepo-specific
Extend agents with your own MCP toolsYesNo
Per-run step history and metricsYesNo
Free — bring your own AI keyYesPaid seats
Self-hosted optionComing soonNo

Benefits

Designed for engineering teams.

Faster delivery

From idea to production-ready software in minutes. Your team reviews finished work, not half-finished drafts.

Standardized execution

Every run follows a consistent, repeatable workflow — code, tests, security, pipelines. No steps forgotten.

Quality built in

Generated tests and CI security checks are part of every run — not an afterthought added before release.

You stay in control

Define policy gates, approval requirements, and deployment boundaries. Vydyra operates within the rules you set.

Security

Secure by default.

Security isn’t a setting you turn on — it’s how Vydyra is built. Automate delivery without giving up control or exposing your code and keys.

  • AI provider keys encrypted at rest (AES-256-GCM) — never logged, never exposed
  • Strict per-tenant isolation, so one workspace can never read another’s data
  • Cost guardrails and rate limits that cap runaway spend and abuse automatically
  • SSRF protection and hardened egress — your code goes only to the AI provider you choose
  • Role-based access control (owner / admin / member / viewer) and team invitations
Talk to us about enterprise

Security overview

acme-corp workspace

● Nominal
Last run completed2 min ago
Policy gates active4 of 4
CI security checks this month1,247
Data residencyUS East
Integrations connected2

Ready to automate software delivery?

Connect your GitHub repositories. Vydyra turns issues into production-ready software automatically.