Astvyr
ABOUT

We are not building a faster autocomplete.

Make safe software delivery as fast and as natural as writing with AI — without taking control and responsibility away from people.

THESIS

Why a new category rather than a better editor.

The IDE that generates more code does not win. The system that delivers a verified outcome faster and more safely does. Astvyr does not sell tokens or lines of code — it sells Verified Outcomes.

THE CATEGORY

Verified Software Delivery Environment. Coding, verification, release and operations become one continuous loop instead of four products stitched together.

THE VISION

Every software change, from a single line to a migration of hundreds of services, should carry machine-readable intent, verifiable criteria, reproducible evidence and an observable outcome. Astvyr becomes the operating system of that chain.

WE WIN WHEN

A team ships more changes while change failure rate does not grow, every decision is explainable, risk can be stopped before production, and every incident returns to the learning loop.

THE ONE-LINER

Astvyr turns a developer's intent into a verified production outcome.

DEVELOPER
Build. Prove. Ship.
ENTERPRISE
Increase AI delivery velocity without losing control.
TRUST
No Done without evidence.
BRAND ELEMENTS

The enemy, and the outcome we are actually selling.

Two lines the rest of the brand has to stay consistent with — one about what we are against, one about how the work should feel.

ENEMY

Unverified AI code, fragmented delivery tools and unsafe production automation.

EMOTIONAL OUTCOME

A developer moves faster without losing control, explainability or sleep after a release.

COMPETITIVE FIELD

What the market already does well, and what it leaves open.

Assessed from public documentation. It is not a legal comparative claim, and it is reviewed every quarter.

CategoryPlayersStrengthGap
AI IDECursor, Windsurf / Devin Desktop, JetBrains, KiroExcellent coding UX, context, agent editsIndependent evidence-first release and a production outcome graph
Repository agentsGitHub Copilot, GitLab DuoNative PR, issue, security and SDLC workflowsOne cross-provider IDE + execution + delivery control plane
Autonomous engineerDevin and analoguesLong background tasks, workspace, testingGoverned autonomy, verification in a separate contour, release gates
DevOps / CDHarness, GitLab, Argo ecosystemPipelines, canary, verification, rollbackA link from the original intent and code change to delivery evidence inside the IDE
Cloud IDE / app builderReplit and analoguesFast build-to-deploy for greenfieldEnterprise brownfield, multi-repo, private infrastructure and controls
Internal developer platformsPlatform teams, golden pathsSelf-service infrastructureAgent-native authoring, verification and continuous learning
SEGMENTS

Who we build for first, and in what order.

First market: product-led B2B SaaS teams of ten to a hundred engineers with a real production system and no appetite for procurement theatre.

SegmentPainPackagePriority
Independent / Pro developerMany manual steps and deployment anxietyPro IDE + verified missionsP1 — PRODUCT-LED
Startup / SaaS, 5-50 engineersRelease speed with no platform teamTeam + managed executionP0 — BEACHHEAD
Scale-up, 50-500 engineersStandards, multi-service, governanceBusiness + delivery control planeP0/P1
Enterprise, 500+ engineersSecurity, residency, procurement, legacyEnterprise cloud or private deploymentP1 AFTER TRUST
Regulated / sovereignData control, air-gap, evidenceDedicated, self-hosted, air-gappedP2
Agencies / consultanciesMany clients, repeated delivery patternsAgency workspace + templatesP1 CHANNEL
EducationTeaching the right SDLC and cloud costEducation programmeP2 ADOPTION
PERSONAS

Seven roles, and what a good day looks like for each.

A Mission has to be worth it for the person doing the work, not only for the person paying for it.

Developer

JOB TO BE DONE

Get a working change without endless switching between tools

SUCCESS LOOKS LIKE

Verified PR and a readable risk report

Tech lead

JOB TO BE DONE

Make sure the solution matches architecture and standards

SUCCESS LOOKS LIKE

Review focuses on decisions, not on spotting obvious mistakes

QA / SDET

JOB TO BE DONE

Turn acceptance criteria into durable checks

SUCCESS LOOKS LIKE

Fewer escaped defects and fewer false green statuses

DevOps / Platform

JOB TO BE DONE

Give the team a safe self-service path

SUCCESS LOOKS LIKE

Fewer manual deployment tickets

SRE

JOB TO BE DONE

Understand a release's impact and recover fast

SUCCESS LOOKS LIKE

Lower MTTR and controlled rollback

Security

JOB TO BE DONE

Limit agent actions and prove control

SUCCESS LOOKS LIKE

Complete audit and enforced policy

Engineering executive

JOB TO BE DONE

Measure the outcome of AI investment

SUCCESS LOOKS LIKE

Better delivery metrics at acceptable economics

PRINCIPLES

Ten principles we do not trade away.

P-01

Evidence over confidence

No score, verdict or status exists without a source and freshness.

P-02

Policy outside the model

Authorisation, budgets and forbidden actions are decided by a deterministic contour.

P-03

Independent verification

The author of a change is never its only reviewer.

P-04

Least privilege by default

A new tool or integration starts with minimal rights and explicit consent.

P-05

Reversible before autonomous

Autonomy is granted to easily reversible actions first.

P-06

Production is part of development

Telemetry and incidents belong to the development context and to the Definition of Done.

P-07

Open ecosystem, controlled trust

SDK and marketplace are open, but permissions, signatures and review are mandatory.

P-08

Model and cloud neutrality

No critical dependency on a single model or cloud provider.

P-09

Local-first interaction, cloud-scale execution

The IDE stays fast when the cloud degrades; heavy work scales remotely.

P-10

Transparent economics

Before an expensive Mission the user sees a cost estimate and the budget policy.

DEFENSIBILITY

Seven layers we build, and what is not a moat.

Release Outcome Graph

The accumulating graph from intent to production outcome, built from the first design partner.

Verification science

Hidden evaluations by task and risk, a false-green taxonomy, independent evidence.

Production integration

Release control, Twins and telemetry inside the customer's real environment.

User workflow

A Mission-native workflow inside the editor, not a wrapper around a model API.

Enterprise governance

Identity, policy, audit and residency as product functions, not add-ons.

Marketplace and network

Certified agents, connectors and templates with mandatory review and revocation.

Brand and trust

Transparent status, reproducible benchmarks and honest limitations.

NOT A MOAT
  • A single prompt.
  • A wrapper around a model API.
  • A list of ten agents.
  • A fork of an editor by itself.
  • A deploy button without policy, evidence and production telemetry.
  • Temporary access to a better model.
  • Volume of generated code, downloads bought with free credits, or a vanity benchmark.
NEXT

See the product itself.

The product page lists the planned scope, with a link to where each area is described in full. Astvyr has not been released yet.

CATEGORY

Verified Software Delivery Environment.

The IDE that generates more code does not win. The system that delivers a verified outcome faster and more safely does.