Autonomous Engineering Intelligence

Software that engineers software.

Give AICloudCode an objective. It maps the system, plans the work, writes the implementation, verifies the result and continues until the mission is complete — then ships it.

Start Engineering See the System

MissionReplace authentication with passkeys, preserve sessions

executing

Execution graph

Schemaqueued
Migrationqueued
Authenticationqueued
APIqueued
Interfacequeued
Testsqueued
Securityqueued
Deploymentqueued

Score

—/100

Intelligence stream

14:02Mission started · autonomy: deep
▍

Illustrative replay of a missionaicloudcode/passkeys-4f21 · 47 files · 328 tests

The autonomous loop

An engineering loop, not a chat response.

Every mission moves through understanding, architecture, execution, observation, testing, critique, repair and verification. The loop continues until the objective is met, a budget is reached, or a decision genuinely needs you.

Evidence: Builds, tests and reviews decide completion — not confidence.
Repair: Failures become hypotheses, investigations and minimal fixes.
Checkpoints: Every significant transformation is snapshotted in Git.
Memory: Conventions, decisions and repairs persist per project.

Capabilities

Everything a senior engineering organization does. One intelligence.

01
Autonomous implementation
Multi-file changes with strong typing and clean boundaries.
implement
02
Repository intelligence
Symbols, imports, references and a living repository map.
understand
03
Architecture planning
Dependency-aware execution graphs sized for autonomy.
plan
04
Debugging
Failure → evidence → hypothesis → minimal repair → regression check.
repair
05
Refactoring
Evidence-driven structural improvement, never churn.
improve
06
Test generation & execution
Meaningful tests, run for real, interpreted precisely.
verify
07
Security review
Auth boundaries, secrets, input validation, risky code.
verify
08
Performance review
Bottlenecks located with measurements.
verify
09
Documentation
Decisions, evidence and impact — recorded as it works.
deliver
10
Git operations
Branches, commits, pushes and merge requests on GitLab.
deliver
11
Deployment workflows
Verified deployments when you authorize them.
deliver
12
Persistent project memory
Each project becomes easier to engineer over time.
learn
13
Parallel engineering agents
Architect, implementer, investigator, tester, reviewer, security.
execute
14
Long-running missions
Hours of autonomous work, checkpointed and resumable.
execute

The environment

Your engineering command environment.

Mission, active agents, execution graph, code changes, terminal activity, evaluation, checkpoints and deployment state — one coherent surface.

MissionBuild and deploy a secure multiplayer collaboration service with presence, permissions and history executing · iteration 23 · 4 agents

Execution graph

Intelligence stream

14:02
Analyzed repository — 1,284 filesinvestigator
14:03
Selected additive migration strategy; reversible in one steparchitect
14:04
Implemented authentication boundary in src/server/authimplementer
14:05
Integration test failed: sessions.rotatetester
14:06
Root cause isolated — legacy cookie name; minimal repair appliedinvestigator
14:07
112 tests passedtester
14:08
Checkpoint 9: authentication boundary verified

Changes · 12 files

Asrc/server/auth/passkeys.ts+184−0
Msrc/server/auth/session.ts+42−17
Msrc/db/migrations/0009.sql+31−0
Atests/auth/passkeys.test.ts+96−0
Msrc/app/(auth)/login/page.tsx+28−9

Checkpoint 9

Authentication boundary verified · 12 files · 112 tests passed

Deployment

Preview ready · production awaits authorization

Autonomy

Give it an objective, not a sequence of commands.

Ordinary engineering work — reading, editing, installing, building, testing, branching, committing — never waits for a dialog. Materially consequential actions do: production deletion, protected branches, production deployment, billing, account security.

MISSION:

Replace our current authentication system with passkeys while preserving existing sessions.

CONSTRAINTS:

- no user downtime
- backward compatibility for 30 days
- migrations must be reversible
- include automated tests

Guided

AICloudCode proposes larger changes before executing them. Routine edits, builds and tests run freely.

Autonomous

AICloudCode performs ordinary engineering work independently and checkpoints as it goes.

Deep Autonomy

Long, multi-stage missions within the boundaries you configure. Hours of work, resumable at any point.

Pricing

Three tiers of engineering capacity.

Engineering units normalize model tokens, agent runtime and tool executions. Missions are checkpointed, so no work is lost when a budget is reached.

Engineer

An autonomous engineer for focused work.

$29/ month

3 projects
1 concurrent mission
1,500 engineering units / month
2 parallel agents
Missions up to 45 minutes
Balanced model tier

Choose Engineer

Most capable

Architect

Parallel agents and frontier models for serious systems.

$49/ month

10 projects
3 concurrent missions
4,000 engineering units / month
4 parallel agents
Missions up to 2 hours
Frontier model tier

Choose Architect

Singularity

Long-running engineering missions at organizational scale.

$129/ month

40 projects
10 concurrent missions
12,000 engineering units / month
8 parallel agents
Missions up to 8 hours
Frontier model tier

Choose Singularity

All plans: 2+ parallel agents, GitLab integration, checkpoints and rollback, full audit log. Billed monthly through PayPal. Cancel any time.

From intent to production.

Describe the outcome. AICloudCode engineers the system.

Start Engineering