Software extensions
New business capabilities in an existing application, including their impact on data, APIs, frontend, and operations.
- New workflows
- Business modules
- Self-service
- Back-office capabilities
For direct clients
Clearly bounded software initiatives.
Agent-assisted delivery, senior ownership.
For extensions, integrations, modernization, and internal tools in existing systems – from conception through production integration.
End-to-endFrom concept through production integration
ScopedGoal, boundaries and acceptance agreed upfront
OwnedOne technical counterpart, not a pool of agents
// suitable initiatives
Initiatives that can be shaped into a dependable outcome.
This mode works especially well for existing systems with a concrete bottleneck or a clear extension.
Integrations and data flows
Connect existing systems, services, and data sources without losing sight of live operations.
- APIs
- Events and Kafka
- Data migration
- Third-party integration
Modernization
Resolve technical bottlenecks incrementally instead of reflexively rebuilding a proven system from scratch.
- Framework upgrades
- Cloud migration
- Architecture seams
- Testability
Internal tools and AI capabilities
Reduce manual work or extend existing software with controlled AI capabilities.
- Domain assistants
- Document workflows
- Search and RAG
- Operations tools
// delivery model
From system context to a production change.
- 01
Clarify and scope
Goal, existing system, dependencies, security constraints, and acceptance are clarified. The result is a realistic scope rather than a blanket promise.
- 02
Architecture and plan
Interfaces, data paths, risks, and integration strategy are defined. Critical decisions remain visible and reasoned.
- 03
Agent-assisted implementation
Specialized agents handle bounded work packages. Every change is reviewed against the codebase, tests, and architecture.
- 04
Integration and handover
The outcome is integrated into the existing delivery and operations environment, documented, and accepted together.
// good prerequisites
Clarity about the frame matters more than a perfect specification.
- An existing system or a clear technical context
- A named business bottleneck or desired outcome
- Access to stakeholders, code, and relevant interfaces
- Willingness to make decisions and review in short cycles
// Limits of this mode
What Entwicklerherz deliberately does not promise
AI agents make engineering faster, not prerequisite-free. Unclear business decisions, missing system access, or unresolved organizational dependencies are not healed by generating more code.
- A fully autonomous AI team without human responsibility
- Unlimited product development from a vague idea at a fixed price
- Pure staff augmentation without responsibility for an outcome
- A big-bang rewrite before an incremental path has been evaluated
Can your initiative be scoped sensibly?
A short description of the system, bottleneck, and desired outcome is enough for an initial assessment.