Planning
Our approach
Define a bounded outcome and acceptance criteria, then refine the next increment from feedback.
What we account for
Dependencies and unfamiliar systems still need investigation.
HyperDev · 50x faster development
A prototype in days. A finished project in weeks.
We build fast by keeping senior engineers close to the decisions and putting AI to work across implementation, testing, and documentation. You try a working prototype in days, give us feedback, and see your project move toward launch in weeks.
The delivery loop
What we do. Where AI helps. What you receive.
AI tools are part of the method. The other part is how we scope work, prepare context, review changes, and learn from each release. Engineers remain accountable throughout.
Define the outcome
- Our engineers
- Choose a useful, bounded feature and agree on acceptance criteria with you.
- AI assists with
- Help explore requirements, edge cases, and implementation options.
- You receive
- A clear scope and a shared definition of done.
Prepare the context
- Our engineers
- Map the architecture, dependencies, data access, and constraints.
- AI assists with
- Search and summarize the relevant code and documentation.
- You receive
- An implementation plan grounded in your existing systems.
Build in small increments
- Our engineers
- Own architecture and business logic; direct and inspect implementation.
- AI assists with
- Draft code, tests, migrations, and documentation within that plan.
- You receive
- A working feature you can try and give feedback on.
Review and test
- Our engineers
- Review changes and check behavior against the acceptance criteria.
- AI assists with
- Help identify edge cases, generate test cases, and inspect changes.
- You receive
- Reviewed code with test results and any remaining limitations.
Demonstrate and release
- Our engineers
- Walk you through the result and coordinate a release appropriate to your environment.
- AI assists with
- Assist with release notes, documentation, and deployment checks.
- You receive
- A release, a handoff, and a clear plan for operating it.
Measure and iterate
- Our engineers
- Evaluate real usage, resolve issues, and agree on the next improvement.
- AI assists with
- Help analyze feedback and investigate failures.
- You receive
- An informed next step based on how the software performs.
Feature walkthrough / JustPropertySearch
What the method looks like on a real feature.
JustPropertySearch includes AI vacancy detection. Here is how that feature illustrates the scope, integration, and review questions in a HyperDev delivery loop.
01
Define a useful signal
The feature helps investors identify properties that may be vacant. The output must make sense within a property search, with uncertainty made clear.
02
Connect the data to the application
Vacancy detection combines utility, mail, and imagery signals. Data handling, the API, and the interface need to work together.
03
Review the whole experience
A delivery review needs to cover missing data, uncertain results, access controls, and how the result appears to an investor.
The deliverable is an integrated feature.
Model output is one part of the work. The application also needs data access, a useful interface, error handling, and a release plan. This is why our engineers own the outcome across the stack.
How HyperDev changes the work.
These are choices about delivery, with practical constraints. We agree on the right approach for your project.
Team structure
Our approach
Keep a small engineering team close to product decisions, with AI supporting implementation.
What we account for
Specialist expertise is brought in when the work requires it.
Codebase context
Our approach
Use AI to search and summarize relevant code while engineers verify the architecture.
What we account for
Reading a repository does not replace understanding the business.
Quality and releases
Our approach
Review changes, run the agreed checks, demonstrate the result, and release in useful increments.
What we account for
Security, compliance, and operational requirements set the release conditions.
Before we start
Clear expectations, from scope to support.
The practical details of working with a team that uses AI to build software.
How fast can you build my project?
A prototype in days. A finished project in weeks. HyperDev combines a small senior team, AI-assisted implementation, and continuous review and testing to move quickly from an idea to launch. We agree on the project scope, integrations, and release requirements up front so you have a clear delivery timeline.
What do I get from the free assessment?
Send a brief description of your project or bottleneck. Within 48 hours, we’ll respond by email with initial architecture recommendations, questions that affect scope, and a suggested next step. If we need more context, we’ll explain what would help. You do not need to share a codebase to request an assessment.
What does an engagement cost?
Cost depends on the scope, existing systems, integrations, and release requirements. We use the assessment to identify a useful first increment, then provide a scoped proposal with deliverables, pricing, and a timeline before paid work begins.
Can you work with our existing team and codebase?
Yes. We can take on a bounded feature or integration, help improve your development workflow, or build a new product. We review your conventions and constraints before recommending changes.
How do you check AI-generated code?
Experienced engineers review AI-generated changes. Automated tests and security checks support that review. We agree on acceptance criteria and the checks needed for your project; AI output alone is not a release decision.
What happens to sensitive code and data?
We agree on data access, approved AI tools, and hosting requirements before using your material. Sensitive projects may need private-hosted models or limits on what context can be shared. We include those constraints in the implementation plan.
Who owns the code, and what happens after launch?
You own the code we build for your project, subject to third-party software licenses and the engagement terms. Handoff includes the documentation needed to run it. We agree on maintenance and support scope separately so responsibilities are clear.
How much of our time will you need?
We need a decision maker to confirm scope, access to relevant technical contacts, and feedback on working increments. The proposal sets out the review cadence and any dependencies on your team.
A clear first step
Get your free technical assessment.
Tell us what you want to build or improve. We’ll respond by email within 48 hours with an initial technical assessment.