Your engineers code faster. Your delivery doesn’t.

Coding agents speed up implementation, but review, architecture decisions, handoffs and releases still run at the old pace. We help engineering organisations turn individual AI use into an agentic delivery system, built hands-on with your teams, in your codebase.

Book a readiness call

Your engineers code faster. Your delivery doesn’t.

Book a readiness call

Your engineers code faster. Your delivery doesn’t.

Book a readiness call

More code is not more delivery.

When every engineer has an agent, output goes up and the bottleneck moves downstream: into review queues, undocumented architecture, knowledge that lives in people’s heads and release processes built for a slower era. AI that stops at the IDE makes the system busier, not faster.

More code is not more delivery.

Where the gains get lost

Review piles up

Generated code lands on the same few senior reviewers. Pull requests queue up and quality turns into guesswork.

Context stays private

Prompts, rules and decisions live in individual chat sessions and disappear with them. Every engineer starts from zero.

No proof it works

Licences are paid and usage is up, but nobody can show whether delivery actually got faster or safer.

Where the gains get lost

Review piles up

Generated code lands on the same few senior reviewers. Pull requests queue up and quality turns into guesswork.

Context stays private

Prompts, rules and decisions live in individual chat sessions and disappear with them. Every engineer starts from zero.

No proof it works

Licences are paid and usage is up, but nobody can show whether delivery actually got faster or safer.

Where the gains get lost

Review piles up

Generated code lands on the same few senior reviewers. Pull requests queue up and quality turns into guesswork.

Context stays private

Prompts, rules and decisions live in individual chat sessions and disappear with them. Every engineer starts from zero.

No proof it works

Licences are paid and usage is up, but nobody can show whether delivery actually got faster or safer.

What turns coding agents into a delivery system

Where does your team stand?

Shared context in the repo

Agents across the lifecycle

Quality gates that scale

An operating model to match

What turns coding agents into a delivery system

Where does your team stand?

Shared context in the repo

Rules, skills and architecture notes live with the code, so every engineer and every agent works from the same ground truth.

Agents across the lifecycle

Beyond code completion: agents support refinement, planning, implementation, review, testing and operations.

Quality gates that scale

Tests, security checks and contracts decide what moves forward. People own the decisions that matter.

An operating model to match

Roles, rituals and decision rights change with the tooling, or nobody can run the new system.

What turns coding agents into a delivery system

Where does your team stand?

Shared context in the repo

Rules, skills and architecture notes live with the code, so every engineer and every agent works from the same ground truth.

Agents across the lifecycle

Beyond code completion: agents support refinement, planning, implementation, review, testing and operations.

Quality gates that scale

Tests, security checks and contracts decide what moves forward. People own the decisions that matter.

An operating model to match

Roles, rituals and decision rights change with the tooling, or nobody can run the new system.

Four phases. Each one earns the next.

01 Assess

02 Enable

03 Pilot

04 Scale

Four phases. Each one earns the next.

01 Assess

Interviews, a repository and pipeline review and your delivery data give you a baseline, the first constraint to fix and a prioritised roadmap.

02 Enable

Hands-on agentic engineering training on your stack and your code. Teams leave with shared practices, and rules and skills checked into the repo.

03 Pilot

One real value stream. We work inside your team to run the new workflow end to end and measure what changed.

04 Scale

Roll out across teams, adapt the operating model and build internal ownership, so the system keeps improving after we leave.

Four phases. Each one earns the next.

01 Assess

Interviews, a repository and pipeline review and your delivery data give you a baseline, the first constraint to fix and a prioritised roadmap.

02 Enable

Hands-on agentic engineering training on your stack and your code. Teams leave with shared practices, and rules and skills checked into the repo.

03 Pilot

One real value stream. We work inside your team to run the new workflow end to end and measure what changed.

04 Scale

Roll out across teams, adapt the operating model and build internal ownership, so the system keeps improving after we leave.

Evidence from day one.

Usage numbers don’t prove impact. Every engagement starts with a baseline and a clear hypothesis, so you can show leadership what improved and where the next constraint sits.

Evidence from day one.

Usage numbers don’t prove impact. Every engagement starts with a baseline and a clear hypothesis, so you can show leadership what improved and where the next constraint sits.

Evidence from day one.

Usage numbers don’t prove impact. Every engagement starts with a baseline and a clear hypothesis, so you can show leadership what improved and where the next constraint sits.

Throughput

Merged pull requests per week, lead time to production

Adoption

Share of work done with agents, per team

Quality

Change failure rate and escaped defects

Confidence

How safe engineers feel shipping a change, 1 to 5

Every metric

Baseline, target, data source and review date

Throughput

Merged pull requests per week, lead time to production

Adoption

Share of work done with agents, per team

Quality

Change failure rate and escaped defects

Confidence

How safe engineers feel shipping a change, 1 to 5

Every metric

Baseline, target, data source and review date

Throughput

Merged pull requests per week, lead time to production

Adoption

Share of work done with agents, per team

Quality

Change failure rate and escaped defects

Confidence

How safe engineers feel shipping a change, 1 to 5

Every metric

Baseline, target, data source and review date

We work with the tools your engineers already use.

Claude Code, Cursor, GitHub Copilot, Codex or your own agents: we’re tool-agnostic and hands-on with all of them. We onboard onto the stack you run today and focus on the workflow around the tool.

defaultshop.ai

claude — fish — 100×30

Unser Technologie-Stack

hubblrv0.4.2·stack categories
sprachen·
name
used in
ki·
name
used in
agentic commerce·
name
used in
backend·
name
used in
●FastAPIPython · async · Pydantic-typed
●SQLAlchemy 2async ORM · asyncpg
●Pydanticschemas + validation everywhere
●Postgres 16primary store · jsonb · pgvector
●Atlasdeclarative schema · HCL migrations
●Connect RPCHTTP/JSON · gRPC · gRPC-Web from one .proto
●Rediscache · queues · pubsub
frontend·
name
used in
●React + Vitefast dev loop, modern build
●Tailwind CSSdesign system in classes
●Radix UIaccessible primitives
●shadcn/uicopy-pastable components
●Framer Motioninteraction + transitions
●React Nativeshared codebase across iOS/Android
devops·
name
used in
●Turborepomonorepo · cached pipelines
●pnpm + uvfast install for JS + Python
●Docker Composelocal stack in one command
●AWSprimary cloud · prod workloads
●Google Clouddata + ML stack
●Terraforminfra-as-code
●Vercelmarketing + edge functions
qualität·
name
used in
commerce·
name
used in
●Shopifyheadless storefronts
●commercetoolsenterprise composable
●Contentfulheadless CMS
●emdash CMSgit-native headless CMS · TS-first
●Algoliasearch + recs
produkt·
name
used in
← / →  switch category·scroll

Explorer

▾apps

▾web

▾src

▾components

TSSearchPanel.tsx

▾services

▾api

▾app

Pymain.py

▾models

Pyaccount.py

▾agent

Pymcp_server.py

▾proto

▾api

▾v1

·account.proto

▾db

·schema.hcl

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import { useState } from "react"
import * as Dialog from "@radix-ui/react-dialog"
import { motion } from "framer-motion"
import { Search } from "lucide-react"
import { useAccountSearch } from "@/lib/api/account"
import { cn } from "@/lib/cn"
 
export function SearchPanel() {
  const [open, setOpen] = useState(false)
  const { data, isLoading } = useAccountSearch()
 
  return (
    <Dialog.Root open={open} onOpenChange={setOpen}>
      <Dialog.Trigger
        className={cn(
          "inline-flex items-center gap-2 rounded-md",
          "border border-zinc-200 bg-white px-3 py-1.5 text-sm",
          "hover:bg-zinc-50"
        )}
      >
        <Search className="size-4" />
        Search…
      </Dialog.Trigger>
      <Dialog.Portal>
        <Dialog.Overlay asChild>
          <motion.div initial={{ opacity: 0 }} animate={{ opacity: 0.5 }} />
        </Dialog.Overlay>
      </Dialog.Portal>
    </Dialog.Root>
  )
}

⎇ mainLn 4, Col 28TSXUTF-8spaces: 2

We work with the tools your engineers already use.

Claude Code, Cursor, GitHub Copilot, Codex or your own agents: we’re tool-agnostic and hands-on with all of them. We onboard onto the stack you run today and focus on the workflow around the tool.

defaultshop.ai

claude — fish — 100×30

Unser Technologie-Stack

hubblrv0.4.2·stack categories
sprachen·
name
used in
ki·
name
used in
agentic commerce·
name
used in
backend·
name
used in
●FastAPIPython · async · Pydantic-typed
●SQLAlchemy 2async ORM · asyncpg
●Pydanticschemas + validation everywhere
●Postgres 16primary store · jsonb · pgvector
●Atlasdeclarative schema · HCL migrations
●Connect RPCHTTP/JSON · gRPC · gRPC-Web from one .proto
●Rediscache · queues · pubsub
frontend·
name
used in
●React + Vitefast dev loop, modern build
●Tailwind CSSdesign system in classes
●Radix UIaccessible primitives
●shadcn/uicopy-pastable components
●Framer Motioninteraction + transitions
●React Nativeshared codebase across iOS/Android
devops·
name
used in
●Turborepomonorepo · cached pipelines
●pnpm + uvfast install for JS + Python
●Docker Composelocal stack in one command
●AWSprimary cloud · prod workloads
●Google Clouddata + ML stack
●Terraforminfra-as-code
●Vercelmarketing + edge functions
qualität·
name
used in
commerce·
name
used in
●Shopifyheadless storefronts
●commercetoolsenterprise composable
●Contentfulheadless CMS
●emdash CMSgit-native headless CMS · TS-first
●Algoliasearch + recs
produkt·
name
used in
← / →  switch category·scroll

Explorer

▾apps

▾web

▾src

▾components

TSSearchPanel.tsx

▾services

▾api

▾app

Pymain.py

▾models

Pyaccount.py

▾agent

Pymcp_server.py

▾proto

▾api

▾v1

·account.proto

▾db

·schema.hcl

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
import { useState } from "react"
import * as Dialog from "@radix-ui/react-dialog"
import { motion } from "framer-motion"
import { Search } from "lucide-react"
import { useAccountSearch } from "@/lib/api/account"
import { cn } from "@/lib/cn"
 
export function SearchPanel() {
  const [open, setOpen] = useState(false)
  const { data, isLoading } = useAccountSearch()
 
  return (
    <Dialog.Root open={open} onOpenChange={setOpen}>
      <Dialog.Trigger
        className={cn(
          "inline-flex items-center gap-2 rounded-md",
          "border border-zinc-200 bg-white px-3 py-1.5 text-sm",
          "hover:bg-zinc-50"
        )}
      >
        <Search className="size-4" />
        Search…
      </Dialog.Trigger>
      <Dialog.Portal>
        <Dialog.Overlay asChild>
          <motion.div initial={{ opacity: 0 }} animate={{ opacity: 0.5 }} />
        </Dialog.Overlay>
      </Dialog.Portal>
    </Dialog.Root>
  )
}

⎇ mainLn 4, Col 28TSXUTF-8spaces: 2

We work with the tools your engineers already use.

Claude Code, Cursor, GitHub Copilot, Codex or your own agents: we’re tool-agnostic and hands-on with all of them. We onboard onto the stack you run today and focus on the workflow around the tool.

defaultshop.ai

claude — fish — 100×30

Unser Technologie-Stack

hubblrv0.4.2·stack categories
sprachen·
name
used in
ki·
name
used in
agentic commerce·
name
used in
backend·
name
used in
●FastAPIPython · async · Pydantic-typed
●SQLAlchemy 2async ORM · asyncpg
●Pydanticschemas + validation everywhere
●Postgres 16primary store · jsonb · pgvector
●Atlasdeclarative schema · HCL migrations
●Connect RPCHTTP/JSON · gRPC · gRPC-Web from one .proto
●Rediscache · queues · pubsub
frontend·
name
used in
●React + Vitefast dev loop, modern build
●Tailwind CSSdesign system in classes
●Radix UIaccessible primitives
●shadcn/uicopy-pastable components
●Framer Motioninteraction + transitions
●React Nativeshared codebase across iOS/Android
devops·
name
used in
●Turborepomonorepo · cached pipelines
●pnpm + uvfast install for JS + Python
●Docker Composelocal stack in one command
●AWSprimary cloud · prod workloads
●Google Clouddata + ML stack
●Terraforminfra-as-code
●Vercelmarketing + edge functions
qualität·
name
used in
commerce·
name
used in
●Shopifyheadless storefronts
●commercetoolsenterprise composable
●Contentfulheadless CMS
●emdash CMSgit-native headless CMS · TS-first
●Algoliasearch + recs
produkt·
name
used in
← / →  switch category·scroll

Explorer

▾apps

▾web

▾src

▾components

TSSearchPanel.tsx

▾services

▾api

▾app

Pymain.py

▾models

Pyaccount.py

▾agent

Pymcp_server.py

▾proto

▾api

▾v1

·account.proto

▾db

·schema.hcl

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
import { useState } from "react"
import * as Dialog from "@radix-ui/react-dialog"
import { motion } from "framer-motion"
import { Search } from "lucide-react"
import { useAccountSearch } from "@/lib/api/account"
import { cn } from "@/lib/cn"
 
export function SearchPanel() {
  const [open, setOpen] = useState(false)
  const { data, isLoading } = useAccountSearch()
 
  return (
    <Dialog.Root open={open} onOpenChange={setOpen}>
      <Dialog.Trigger
        className={cn(
          "inline-flex items-center gap-2 rounded-md",
          "border border-zinc-200 bg-white px-3 py-1.5 text-sm",
          "hover:bg-zinc-50"
        )}
      >
        <Search className="size-4" />
        Search…
      </Dialog.Trigger>
      <Dialog.Portal>
        <Dialog.Overlay asChild>
          <motion.div initial={{ opacity: 0 }} animate={{ opacity: 0.5 }} />
        </Dialog.Overlay>
      </Dialog.Portal>
    </Dialog.Root>
  )
}

⎇ mainLn 4, Col 28TSXUTF-8spaces: 2

How we work with engineering teams

We practise what we teach

Our own delivery teams build agent-first every day. What we recommend, we have run on real client projects first.

Hands-on, in your codebase

No slide decks from the sidelines. We pair with your engineers, write the rules and skills together and leave them in your repository.

Senior from the first call

The people who scope the engagement stay in the delivery work. No sales handoff, and no junior bench learning on your project.

How we work with engineering teams

We practise what we teach

Our own delivery teams build agent-first every day. What we recommend, we have run on real client projects first.

Hands-on, in your codebase

No slide decks from the sidelines. We pair with your engineers, write the rules and skills together and leave them in your repository.

Senior from the first call

The people who scope the engagement stay in the delivery work. No sales handoff, and no junior bench learning on your project.

How we work with engineering teams

We practise what we teach

Our own delivery teams build agent-first every day. What we recommend, we have run on real client projects first.

Hands-on, in your codebase

No slide decks from the sidelines. We pair with your engineers, write the rules and skills together and leave them in your repository.

Senior from the first call

The people who scope the engagement stay in the delivery work. No sales handoff, and no junior bench learning on your project.

Fragen, die Sie vielleicht haben

Our engineers already use Copilot or Cursor. Isn’t that enough?

It’s a good start for individual speed. The gains stall at review, handoffs and release. We work on the delivery system around the tools, so faster coding turns into faster, safer delivery.

Which tools and stacks do you work with?

We’re tool-agnostic: Claude Code, Cursor, GitHub Copilot, Codex and custom agents, on the stack you already run. The practices matter more than the tool.

Do we need to commit to a big programme?

No. Most engagements start with an assessment or a training. Each phase ends with evidence and a decision, and you choose whether to continue.

What about code quality, security and IP?

Quality gates are part of the setup from day one: tests, security checks and review rules that agent-written code has to pass. We work within your compliance requirements, including EU-hosted models where needed.

Fragen, die Sie vielleicht haben

Our engineers already use Copilot or Cursor. Isn’t that enough?

It’s a good start for individual speed. The gains stall at review, handoffs and release. We work on the delivery system around the tools, so faster coding turns into faster, safer delivery.

Which tools and stacks do you work with?

We’re tool-agnostic: Claude Code, Cursor, GitHub Copilot, Codex and custom agents, on the stack you already run. The practices matter more than the tool.

Do we need to commit to a big programme?

No. Most engagements start with an assessment or a training. Each phase ends with evidence and a decision, and you choose whether to continue.

What about code quality, security and IP?

Fragen, die Sie vielleicht haben

Our engineers already use Copilot or Cursor. Isn’t that enough?

It’s a good start for individual speed. The gains stall at review, handoffs and release. We work on the delivery system around the tools, so faster coding turns into faster, safer delivery.

Which tools and stacks do you work with?

Do we need to commit to a big programme?

What about code quality, security and IP?

Start with an honest baseline.

Tell us how your teams work with AI today. We’ll show you where delivery slows down and what to fix first.

Book a readiness call

Start with an honest baseline.

Tell us how your teams work with AI today. We’ll show you where delivery slows down and what to fix first.

Book a readiness call

Start with an honest baseline.

Tell us how your teams work with AI today. We’ll show you where delivery slows down and what to fix first.

Book a readiness call

Produkte schneller ausliefern als je zuvor

Your engineers code faster. Your delivery doesn’t.

Your engineers code faster. Your delivery doesn’t.

Your engineers code faster. Your delivery doesn’t.

More code is not more delivery.

More code is not more delivery.

More code is not more delivery.

Where the gains get lost

Where the gains get lost

Where the gains get lost

What turns coding agents into a delivery system

Where does your team stand?

What turns coding agents into a delivery system

Where does your team stand?

What turns coding agents into a delivery system

Where does your team stand?

Four phases. Each one earns the next.

Four phases. Each one earns the next.

Four phases. Each one earns the next.

Evidence from day one.

Evidence from day one.

Evidence from day one.

We work with the tools your engineers already use.

Unser Technologie-Stack

sprachen

ki

agentic commerce

backend

frontend

devops

qualität

commerce

produkt

We work with the tools your engineers already use.

Unser Technologie-Stack

sprachen

ki

agentic commerce

backend

frontend

devops

qualität

commerce

produkt

We work with the tools your engineers already use.

Unser Technologie-Stack

sprachen

ki

agentic commerce

backend

frontend

devops

qualität

commerce

produkt

How we work with engineering teams

We practise what we teach

Hands-on, in your codebase

Senior from the first call

How we work with engineering teams

We practise what we teach

Hands-on, in your codebase

Senior from the first call

How we work with engineering teams

We practise what we teach

Hands-on, in your codebase

Senior from the first call

Fragen, die Sie vielleicht haben

Our engineers already use Copilot or Cursor. Isn’t that enough?

Which tools and stacks do you work with?

Do we need to commit to a big programme?

What about code quality, security and IP?

Fragen, die Sie vielleicht haben

Our engineers already use Copilot or Cursor. Isn’t that enough?

Which tools and stacks do you work with?

Do we need to commit to a big programme?

What about code quality, security and IP?

Fragen, die Sie vielleicht haben

Our engineers already use Copilot or Cursor. Isn’t that enough?

Which tools and stacks do you work with?