DARE Method
Design. Architect. Review. Execute. A structured methodology for AI-assisted software development with mandatory human review checkpoints.
Agentic Software Engineering
Engineering discipline for the agentic software era.
DARE is an AI-native software engineering ecosystem created by Dewtech, combining an open methodology, developer community, managed cloud platform, proprietary secure agent runtime and applied research.
DARE Labs
Community, education, hands-on labs and open research for agentic software engineering.
DARE Cloud
Managed orchestration for private agentic software delivery, execution, approvals and deployment workflows.
DARE Agent Runtime
Secure execution kernel for coding agents with deterministic policy, constrained tools, audit events and resumable sessions.
DARE Swarm
Research in progress on evolved multi-agent SLM topologies using deterministic engineering fitness. Manuscript preparation is ongoing; no performance result is claimed here.
Operating model
Method outside. Runtime inside. Evidence throughout.
Design
Human intent, requirements and constraints define the problem before execution begins.
Architect
AI can propose structure and tasks, but architecture remains reviewable and explicit.
Review
Human approval checkpoints govern progression into implementation.
Execute
Agents work task-by-task under deterministic tool policy and bounded runtime controls.
Verify
Build, test, lint, audit and other deterministic gates produce engineering evidence rather than relying on model judgment alone.
We build the systems that build software — with human governance, deterministic authorization and auditable execution.
DARE for organizations
Explore secure agentic engineering without surrendering control.
Talk to Dewtech about DARE adoption, platform integration, private runtime use, research collaboration or enterprise engineering workflows.
Discuss DARE