From planning to deployment, Dobby deploys governed AI agents at every stage of the SDLC.
Full audit trail. Human control. Agents that learn and improve.
Specialized AI agent teams work across your entire development pipeline — governed, auditable, and continuously learning.
AI-assisted requirements analysis, architecture design, and sprint planning
Coordinated multi-agent code generation with real-time governance
Automated code review, security scanning, and comprehensive test generation
CI/CD pipeline management, infrastructure provisioning, and release orchestration
Continuous improvement through pattern detection, knowledge capture, and maturity growth
Every cycle makes your agents smarter. Lessons from Phase 5 feed back into Phase 1, creating an ever-improving development engine.
Unlike standalone AI coding tools, Dobby wraps every agent action with enterprise-grade governance
Every significant agent action requires human approval. Code changes, deployments, and architecture decisions are gated.
Define what each agent can and cannot do. Security policies, coding standards, and compliance rules enforced automatically.
Every agent action, LLM call, approval, and rejection is logged with timestamp, user, and context. SOC 2 compliant.
Set LLM budgets per SDLC phase. Get alerts when agents approach limits. Track ROI at each lifecycle stage.
Each agent is scored on approval rate, quality, speed, and learning. Maturity grows from Novice (1) to Expert (5).
Organization-level AI executives (CTO, CISO, CQO) provide strategic oversight across all SDLC activities.
Other tools give you an AI copilot. Dobby gives you an entire AI-powered engineering organization.
AI agents handle repetitive development tasks in parallel, from boilerplate code to test generation, freeing your team for creative problem-solving.
Every agent action is policy-checked, logged, and subject to human approval. Security and compliance are enforced automatically across the entire lifecycle.
FinOps dashboards track LLM costs per agent, per task, per SDLC phase. Set budgets, get alerts, and understand exactly where AI spend goes.
Agents improve with every cycle. Rejected suggestions become lessons. Approved patterns become best practices. Your AI team gets smarter over time.
Engineers remain in full control. Approve, modify, or reject any agent output. Kill switch available at every level of the hierarchy.
Multi-tenant isolation ensures each project gets its own governed workspace. Scale from one team to the entire organization without compromising security.
AI copilots assist individual developers. Dobby governs entire AI development teams.
25+ governed agents. 5 SDLC phases. Full audit trail.
Start free and scale to enterprise.