Accounts are created on an 'as requested' basis. Each registered
employee receives a verification code that can be used
to get that employee's password.
To request a new account or additional employee access,
contact [email protected].
After creating an account, remember to stay
in touch (complaints, questions,
comments, etc.).
Access is limited to building web applications
(i.e. Python server support is
not yet available).
However, in this stage you can get expert
software development and general support
for your application directly from the founder.
Contact [email protected]
to apply for 'Implementation Support' (see more details below).
Applying for implementation support is currently the only way to
access the system.
"The future is built by passion and perseverance in the present."
Get inspired by some Video Tutorials.
By using the Development Web App, you agree to our terms of service.
The development web app is a general cloud-based development
environment. It allows developers to code, while benefiting
from built-in automations that assist in various parts of the
development process.
The system serves as a solid foundation on which to build
almost anything that runs on the cloud.
Key principles that the development web app was built on
include simplicity (by eliminating repetitive tasks and
reducing surface area for bugs) and flexibility (by
allowing custom dependency installation and writing
standard code).
The development web app includes limited LLM-based code
generation agents that augment developers while
maintaining oversight.
The development web app can help developers explore complex ideas by creating personal projects, while spending more time learning or creating and less time struggling with setup and integration issues.
The development web app can be used to automate internal business processes (e.g. inventory management) or create tools for customers (e.g. booking platform) at a reduced cost. This reduced cost can make a previously unaffordable idea viable.
The development web app can simplify and speed up the development process of complex applications (e.g. LLM agents) and reduce maintenance burdens. This can result in more features being developed and those features being developed to a higher standard. This could increase the core value-add and thus increase the competitiveness of the company.
(not yet supported during 'Limited Access')
The development web app can be used to: create UIs (e.g. for data recording and cleaning), conduct data analyses (including plotting live graphs or running advanced machine learning models), or other complex processes (e.g. robotic simulations, running open source models, or training new models).
Managed environments can help developers focus on
strategic objectives rather than technical issues.
Improving the value-proposition could result in
e.g. 10 times as many customers and in the context of
software this can mean 10 times as much profit.
Focusing on setting up a custom environment likely won't
change the number of customers since customers don't
care about technical details as long as the product works.
If we exclude the cost of development time (both to
create and maintain a more complex setup), developers
may be able to reduce fixed costs, but this comes
at the increased risk of downtime, data loss, and
product launch delays.
The value-proposition could be improved by allocating
resources that would have otherwise been spent on
fixing technical issues on:
The main issue with managed environments is that they
can be very limiting, however the development web app
is a unique hybrid environment that is built first for
proper coding and only automates repetitive tasks.
In fact, the development web app was originally built to be an
internal tool for complex projects.
Bonus: The development web app was built to not rely
on complex cloud infrastructure from major cloud providers.
This means that the output can run on smaller (cheaper
but still reputable) cloud providers.
While costs vary
dramatically, common alternatives can easily be 10 times
more expensive.
There is no hard vendor lock-in, the codebase downloadable and
is compiled in a way that is legible and that follows
industry standard practices.
The coding languages used mainly include
JavaScript, HTML, CSS, and SQL. In advanced contexts,
developers may also use Python.
Developers add their own API keys for computing resources and
other third parties. This
means that any resource usage is paid directly, without
any additional markup from this DevOps system.
Developers can connect
to any external third party using standard API calls. Third
parties could be anything from a SMTP mail server, an
external NoSQL database, or even some high-performance
computing resources.
For extremely custom processes, a separate Kubernetes
deployment can be made independently from this DevOps
platform and then developers can connect to
that system with the system that they build on this
DevOps platform. This may sound like more work, but at
the level of complexity where this becomes necessary this
splitting up is actually beneficial because it adds
modularity.
The system can be used for, but isn't ideal for, design focused static websites. The focus on flexibility does mean that technical skills are necessary. No-code tools may be better for simple projects, unless there are plans to increase backend complexity at some later date.
The development web app is purely a development tool.
The system was built to be used in conjunciton to other
tools.
All management tasks (e.g. research, planning, task assignment,
and communications about
strategic objectives) should be done externally, using
third-party external tools.
With the rise of 'Vibe Coding' simple feature-focused
applications could be built without coding.
However, as AI reduces the barriers to entry,
the industry focus may shift towards solving
more complex problems. For complex problems
vibe coding's disregard for the hybrid-approach
(the best of both worlds between people and AI)
in favour of a purely AI-based approach is subject
to any limitations of the current technology.
An argument could be made that AI will advance so
rapily that soon there will be no drawbacks.
Nevertheless, if you are worried that using a
hybrid system (such
as this DevOps platform) will leave you behind,
don't worry. If AI really can do everything. I'll get
AI to re-structure this system to be a vibe-coding
platform where you just say what you want and get it
every time. Unfortunately, I don't expect that to
happen any time soon.
For certain problems that can be represented
effectively in training data, AI can find patterns
and infer ground truths. This can be useful for
finding novel solutions or implementing known
solutions to these specific problems.
The mechanical nature of AI generally results
in much quicker problem solving in comparison to
humans while also being better at scaling. Which tasks
can be solved is limited to the budget constraints,
training data available, and the model architecture
used.
AI tools can be used in combination with humans to
capitalise on the relative advantages of each.
At the moment, it is clear that AI has limitations
that require human oversight. AI is limited by e.g.
halucinations, limited context, and a lack of
creativity for novel problems that have little
training data.
The timeframe and extent to which AI will replace tasks
is unknown.
We can speculate about limits about current
model architectures, but it's much harder to speculate about
what future breakthroughs might occur and when these might
occur. Then even if a theoretical solution is available,
it is still hard to determine how long
it will take for changes to be implemented into slow moving
industries.
Even if 'AI teaches AI', the model architecture used for this
cycle of learning can itself become the model
architecture that limits performance.
Additionally, models will still be limited by their training
data.
The world is ultimately a complex place, creating better
model architectures, collecting better data, and applying
AI to new problems might be an indefinate source of work.
Embrace AI instead of viewing it as a
threat, be flexible in order to adapt to changes, and
learn new skills in order to use this technology
effectively.
Use the development web app to unlock the value
of AI to create value now, instead speculation about
the future.
1 employee
Free
Generic sales support only
Full access to the system
Less than 5 employees
€2 000 monthly fee
Developer support
Full access to the system
Less than 10 employees
€5 000 monthly fee
Developer support
Full access to the system
10 or more employees
€10 000 monthly fee
Priority developer support
Full access to the system
Regardless of your organisation's size, feel free to start on the free tier and work your way up as needed.
Monthly Fee: Negotiable
Beyond 'development support' an optional service is
'implementation support'. Implementation support
involves support beyond solving platform-specific
technical issues.
The idea behind implementation support is to provide
short-term access to talent in order to boost
organisational flexibility.
Implementation support starts with a free consultation.
E.g. An organisation may want to integrate
AI agents in order to modernise.
Traditionally, if the organisation
does not have an employee with the skills to do this,
they would need to make the difficult decision of
determining whether it is worth hiring someone for
the project. This decision is especially difficult
if decision makers lack
expertise in the relevant field.
With implementation support however (if we have someone
with the required expertise) they can provide
a free consultation. Armed with a better understanding
of the problem, potentially new suggestions, and a
monthly rate for further paid assistance, an informed decision
can then be made.
After the free consultation, paid
implementation support can be used to
assist in setting up the
the project. The person assigned to assist you will
create a minimum viable solution that can be
implemented in a production setting.
Management can then review the project and decide
whether to add new or existing internal resources
to the project or whether to continue with paid
implementation support for the time being.
For maximum flexibility, there are no strict
'one-size-fits-all' time frames
or rates. The requirements of the project will be discussed
and then we will offer a monthly rate to provide
implementation support based on the complexity of the
project and how quickly a solution needs to be developed.
Amounts are prepaid at the start
of each monthly period following a subscription-style model.
The subscription can be canceled at any time — whether
the project concludes, priorities shift, or for any other
reason.
(a consideration)
At the moment, implementation support is limited to
the founder and thus the skillsets of the founder.
Contact [email protected] to learn more.