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CUSTOM AUTONOMOUS DEVELOPMENT

Your product.
Developing.
Autonomously.

An autonomous development pipeline built for your team. From planning and code to deployment and maintenance — tailored to the way you work.

Let’s talk30 minutes. Free.Let’s explore what’s possible.
See the full development cycle
AUTONOMOUS DEVELOPMENT / CONCEPTUAL MODEL
YOUR PRODUCT 01Plan 02Build 03Verify 04Release 05Deploy 06Monitor 07Respond 08Improve

PlanGoals become an executable plan.

BuildThe system implements the change.

VerifyTests and reviews check the result.

ReleaseA version is prepared for release.

DeployThe update reaches your environment.

MonitorSignals reveal how it behaves.

RespondIncidents trigger diagnosis and action.

ImproveFixes and findings shape the next cycle.

BUILT FROM REAL PRODUCT DEVELOPMENT

The same approach behind our own products.

STRAIW / ORXA / FlowKit
01 / FROM CODING TO OWNERSHIPCOMBYCODE’S AUTONOMY MODEL

Set the course.
We build the engine.

AI can write your code. Who owns what happens next?

If a person still has to guide every step, connect the tools and judge every outcome, the workflow still depends on that person.

Where does your workflow sit?Select a level to see who owns the work.
15s per slide · Hover to pause
01–05 / Human-led delivery06 / Task ownership07 / Lifecycle ownership

People execute every step

Fully manual development

Developers write the code, QA verifies it, and people deploy and maintain it. The workflow moves when a person moves it.

HUMANS

Implement, test, deploy and operate the software.

SYSTEM

No agent execution. People connect every stage.

WHO CARRIES THE WORK?

PlanHuman
BuildHuman
VerifyHuman
DeployHuman
MonitorHuman
RespondHuman
ImproveHuman

Responsibility shown conceptually; actual workflows vary by team.

WHAT STILL LIMITS AUTONOMY

Every handoff and decision depends on a human.

WHAT CHANGES NEXT

Make repeatable work executable: linters, tests, CI/CD and monitoring.

Tools execute. People coordinate.

Manual development, automated checks

Comprehensive linters, tests, monitoring and CI/CD automate repeatable operations. Developers still decide what to build and what the signals mean.

HUMANS

Write code, interpret results and decide the next action.

SYSTEM

Scripted checks and delivery automation—not agent ownership.

WHO CARRIES THE WORK?

PlanHuman
BuildHuman
VerifyTools
DeployTools
MonitorTools
RespondHuman
ImproveHuman

Responsibility shown conceptually; actual workflows vary by team.

WHAT STILL LIMITS AUTONOMY

Automation follows rules. It does not own the product goal or close the feedback loop.

WHAT CHANGES NEXT

Add AI assistance to individual development activities.

AI helps with pieces of the work

AI-assisted development

Developers use completions, generate parts of the implementation, or ask AI to review code and pull requests. People still run the workflow.

HUMANS

Choose the work, assemble changes and approve delivery.

SYSTEM

Suggest code, generate fragments and assist with reviews.

WHO CARRIES THE WORK?

PlanHuman
BuildAI helps
VerifyAI helps
DeployHuman
MonitorHuman
RespondHuman
ImproveHuman

Responsibility shown conceptually; actual workflows vary by team.

WHAT STILL LIMITS AUTONOMY

The assistant sees a local task—not the full environment, constraints and outcome.

WHAT CHANGES NEXT

Let an agent implement a task while a developer guides and reviews it.

The agent codes. You keep it moving.

AI-guided development

An agent writes the code. A developer directs it through a CLI or desktop conversation, reviews changes and decides what happens next.

HUMANS

Guide the agent, review changes and connect its work to production.

SYSTEM

Implement code and run checks within the assigned task.

WHO CARRIES THE WORK?

PlanHuman
BuildGuided AI
VerifyGuided AI
DeployHuman
MonitorHuman
RespondHuman
ImproveHuman

Responsibility shown conceptually; actual workflows vary by team.

WHAT STILL LIMITS AUTONOMY

A completed coding session is not an owned production outcome. You are still the coordinator.

WHAT CHANGES NEXT

Give an orchestrator goals and acceptance criteria, so agents can plan, build and verify in loops.

Agents run loops. People judge outcomes.

AI-orchestrated development

Multiple agents plan, build and verify in cycles. Parallel experiments explore different solutions. An orchestrator finds a path to the goal and criteria you set.

HUMANS

Set goals and acceptance criteria; review every outcome.

SYSTEM

Coordinate agents, iterate through SDLC stages and run parallel experiments.

WHO CARRIES THE WORK?

PlanAgents
BuildAgents
VerifyAgents
DeployReviewed
MonitorReviewed
RespondReviewed
ImproveHuman

Responsibility shown conceptually; actual workflows vary by team.

WHAT STILL LIMITS AUTONOMY

Delivery still waits for human judgement at every outcome. The system does not independently own ongoing operations.

WHAT CHANGES NEXT

Define bounded production tasks with measurable outcomes and automated acceptance checks.

Agents own defined, measurable tasks

Production pipelines

Focused pipelines fix bugs, update dependencies or execute other well-defined processes end to end. Outcomes can be measured without routine human review.

HUMANS

Monitor results, handle exceptions and take high-stakes work with uncertain outcomes.

SYSTEM

Execute covered tasks end to end and verify their results.

WHO CARRIES THE WORK?

PlanScoped
BuildScoped
VerifyScoped
DeployScoped
MonitorScoped
RespondScoped
ImproveScoped

Within covered tasks only. Uncovered processes stay with people.

WHAT STILL LIMITS AUTONOMY

Coverage is partial. The pipeline owns a task—not every responsibility across the product lifecycle.

WHAT CHANGES NEXT

Connect the full lifecycle, production context, budgets and authority into one accountable system.

People set direction. Agents own execution.

Fully autonomous pipelines

Agents own every process within the agreed scope: development, infrastructure, deployment, monitoring, incident response and continuous improvement.

HUMANS

Set goals, define features and success metrics, and establish responsibility boundaries.

SYSTEM

Operate end to end, manage infrastructure and budgets, respond to issues and improve performance and quality.

WHO CARRIES THE WORK?

PlanAgents
BuildAgents
VerifyAgents
DeployAgents
MonitorAgents
RespondAgents
ImproveAgents

Across the agreed lifecycle. Goals, limits and escalation rules remain human-defined.

THE AUTONOMY DIFFERENCE

Full lifecycle context and delegated authority make outcome-based decisions possible—not code-only guesses.

THE SYSTEM WE BUILD

We build this system around your product, infrastructure, metrics and operating rules.

Let’s talk

THE MISSING CONNECTION

Good code is not the same as a good outcome.

An agent focused only on code cannot reliably judge why it exists, where it runs or whether it improves the product. Full autonomy connects that context to the authority to act—and the feedback to learn.

Full context

Product intent, architecture, runtime behaviour and business metrics.

Bounded authority

Infrastructure access, budgets, permissions and clear responsibility limits.

Continuous feedback

Deploy, observe, respond, verify and improve—not stop at a merged PR.

You define the course. The system delivers end to end.Build around your team

02 / WE BUILD. WE SHIP. WE MAINTAIN.

Our products.
Our proving ground.

We develop and maintain our own products with our pipelines. That experience shapes the systems we build for your team.

FLAGSHIP / DIGITAL WORK

STRAIW

AI and human expertise. A clear path from a digital task to a verified result.

Explore STRAIW
FLAGSHIP / AI ORCHESTRATIONIN DEVELOPMENT

ORXA

An orchestration layer designed to make complex LLM workloads more efficient.

Explore ORXA
OPEN SOURCE / ENGINEERING IN THE OPEN

FlowKit

A shared design canvas for you and your coding agent.

LLM-SDK

One interface across LLM providers. Direct access, in your code.

DPE

A Rust execution engine for streaming data pipelines.
SMALL TOOLS, EVERYDAY UTILITYPackageChecker ↗
03 / YOUR FLIGHT PLAN

A CLEAR PATH
TO AUTONOMY.

Let’s find your starting point
01

CONNECT

A free 30-minute call to explore your product, workflow and ambition.

02

BUILD

Define a focused pilot, its architecture and the outcomes that matter.

03

LAUNCH

Deploy the pipeline, evaluate it in practice and extend its reach.

YOUR NEXT STEP

What could your
team build next?

Tell us a little about your team and what you want to change. Let’s explore where an autonomous pipeline could take you.

30MINUTESFree introductory call

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