FULL-STACK AGENTIC
End-to-End AI-Powered Development
We work with your team to build a dedicated agentic plugin for your organization. It ships with skills and commands shaped around how your engineers actually code day to day. At Insly, this cut deployment time from 4 weeks to 1, and code quality held up.
Key Features
Multi-agent orchestration with architect, builder, and tester roles
Spec-first methodology with PRD-to-code workflows
End-to-end pipeline from requirements to deployment
Hands-on implementation in your real codebase
How We Work Together
A proven methodology that delivers results
Discovery
We start with understanding your business, challenges, and goals through workshops and interviews.
Design
Together we design the solution architecture and create a detailed implementation plan.
Deliver
Iterative implementation with regular demos and feedback loops to ensure alignment.
Support
Post-launch support, knowledge transfer, and ongoing optimization recommendations.
Use Cases
- Building a real feature with multi-agent orchestration
- Training the team on spec-first development with AI
- Pair-implementation sessions with senior agents
- Establishing long-term agentic engineering capability
Ideal For
- Engineering teams of 3–8 developers
- Teams with an active backlog ready to ship
- Teams wanting hands-on practice, not theory
Not Ideal For
- Solo developers without a team
- Stakeholders looking for observation-only sessions
- Teams without a real codebase to work on
Deliverables
Deliverables
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01Dedicated agentic plugin with your team's own skills and commands
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02CI/CD integration with automated agent quality gates
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03Customized agent prompts and configurations for your stack
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04Team certification and 60-day coaching access
Technology Stack
Timeline
2–3 days intensive
Estimated project duration
Related Case Studies
RAG Document Processing System
At Insly, I led development of a RAG (Retrieval-Augmented Generation) system that gives insurance brokers fast, context-aware answers about policy details. The system combines traditional search with vector embeddings to handle complex queries across 23 different insurance providers.
Challenge
Insurance brokers needed to quickly find relevant information across thousands of policy documents from 23 different insurers, each with unique formats and terminology.
Microservices Migration
CloudAcademy needed to migrate their content authorization service from Kotlin to Go as part of a broader standardization effort. I led this migration while ensuring zero downtime and creating new microservices following DDD patterns.
Challenge
Legacy Kotlin service had performance bottlenecks and was difficult to maintain. Team needed to standardize on Go for better consistency across microservices.
Ready to Transform Your Business?
Let's discuss how I can help you achieve your goals. The first consultation is free.