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 to add employees,
contact [email protected].
After creating an account, remember to stay
in touch (feedback, suggestions, bug reports, complaints,
questions, etc.).
"The future is built by passion and perseverance in the present."
Get inspired by the official YouTube channel.
By using the Development Web App, you agree to our terms of service.
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The development web app is a browser-based development environment. Key principles include simplicity and flexibility. Limited LLM-based agents augment developers, while maintaining human oversight.
The system 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 system 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 system can simplify and speed up the development process of complex applications (e.g. AI agents) and reduce maintenance burdens. This can result in more useful features being developed and those features being developed to a higher standard.
When used in conjunction with third parties, the system can be used to: create UIs (e.g. for data recording and cleaning), conduct data analysis (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:
Unlike typical no-code and low-code platforms that restrict
developer flexibility in favor of simplicity, our DevOps
system takes a fundamentally different approach. Rather
than eliminating coding from the development process, we
enhance it. Our platform is built with coding at its core,
providing developers with powerful automations and intuitive
interfaces that streamline repetitive tasks while preserving
complete creative control. This coding-first philosophy
ensures developers can craft optimal solutions for unique
challenges without being constrained by rigid templates or
limited customization options. Originally developed as an
internal tool for tackling complex projects, our system
proves that the best developer tools don't replace
coding — they make it more efficient and enjoyable.
Additionally, the development web app was built to not rely
on complex cloud infrastructure from major cloud providers.
While costs vary
dramatically, server costs can be a fraction of
common alternatives.
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.
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.
The coding languages used mainly include Vanilla
JavaScript, HTML, CSS, and SQL. In advanced contexts,
developers may also need to use Python.
Developers can connect to any external third party
service using standard API calls. This can be used
to integrate almost any type of SAAS product into your
system.
For extremely custom processes, a separate
independently deployment can be made that
doesn't use this DevOps platform. This
extra system can be connected to the main
system through standard API calls.
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 might not be ideal for static, design-focused websites or simple frontend-focused web apps that mainly involve repeating common processes of features. No-code tools may be good enough for such projects, unless there are plans to add backend complexity in the future or if oversight and control are key priorities.
The development web app is purely a development tool.
The system was built to be used in conjunciton to other
tools.
Maintaining a limited scope allows developers
to use the best tools on the market rather
than whatever has been 'bundled in'.
Recommended supplementary tools include a
Deep Research LLM-based agent, a general LLM
chatbot,
personal productivity software, team collaboration software,
and maybe even a free 'vibe-coding' tool for design
prototyping.
We can analyse the limits about current
model architectures and build accordingly,
but what future breakthroughs might occur
and when these might occur is unknown.
Even if a theoretical solution is available,
it is still hard to determine how long
it will take for changes to be implemented
and when implementing will be economically
viable.
While it is clear that current AI agents require
oversight, the degree to
which they requires oversight and how this
will evolve is not entierly clear.
Even if 'AI teaches AI', the model architecture
used for this cycle of learning can itself
become the model architecture that limits
performance. Besides model architecture, models
will still be limited by their training data.
The world is ultimately a complex place. Creating better
model architectures, collecting better data, overseeing
or collaborating with agents, and applying
AI to new problems will be an indefinate source of work.
Use the development web app to create a powerful
system that can unlock the value
of AI now and adapt to any changes
in the future.
Tip: Don't just use AI to cut costs or increase
efficiency, use it to do more.
All tiers get full access to the system.
Paid tiers also get basic developer support.
1 developer
Free
Less than 5 developers
€2 000 monthly fee
Less than 10 developers
€5 000 monthly fee
10 or more developers
€10 000 monthly fee
Organisations don't need to immediately commit their entire development team. Teams can start small and scale at their own pace — beginning with a single developer on the free tier. This approach provides an opportunity to build a complementary product or pilot project, then gradually expand usage as value becomes evident and confidence in the system grows. Whether for a startup or an enterprise, this methodology allows teams to validate the platform's benefits for their specific requirements without upfront pressure or overcommitment.
Monthly Fee: €20 per developer
Enabling agents is optional and available on all
platform tiers.
No 'vibe-coding'. Suggestions require developers to implement
them and thus require developers to actively review code.
Agents provide detailed suggestions
based on available context and best practices, while being
set up to prefer asking technical clarifying questions over
making assumptions.
Agents can assist with:
Monthly Fee: €3500 and €750
Implementation support is an optional service beyond
standard developer support, which involves basic
support for resolving platform-specific issues.
Implementation support works with two tiers,
an active tier and a reactive tier.
The rates shown above are for the active and
reactive tiers respectively.
The client can choose which tier to utilise on
a month-to-month basis.
The Active Tier, involves:
The Reactive Tier, involves:
This additional support is intended as a temporary resource that can assist clients in: getting started on the platform, expanding their systems hosted on the platform, and/or upskilling their employees.
Contact [email protected] to learn more.