AI for Engineering Key Operations (NEKO)
- AI Agents
- LLM Orchestration
- SDLC Automation
- Cloud
- Developer Experience
Objective
Engineering teams spent significant time on repetitive SDLC tasks - from estimation and code review to documentation - limiting focus on higher-value work.
Features Highlight
Automated SDLC Tasks
Automates estimation, effort tracking, code generation with compliance checks, PR descriptions, code review, quality assessment, and documentation.
Integration Workflow
An AI-powered workflow integrating IDE-based compliance checks, agent-driven processing, and a centralized web platform.
Modern Architecture
Built on LLM orchestration, cloud infrastructure, and Git-based integrations - designed to be scalable and multi-tenant.
About
Explore how agent-driven automation frees engineers to focus on higher-value work.
354+ Hours Saved
Projected to save 354+ hours per month for 60 engineers through standardized estimation, compliance, reviews, and documentation.
In the IDE
Compliance checks and assistance meet engineers where they work.
Scalable & Multi-Tenant
Architected to serve many teams on shared infrastructure.
