AIES

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About AI Engineering Standard

A documentation-first, open working specification for production AI delivery — SDLC gates, context engineering, agents, evaluation, MCP, and enterprise governance.

Working standard
Platform Mandate

The LLM is one component. The harness is the product.

AIES is maintained in the open so engineering organizations can fork one standardized harness — prompts, skills, agentHooks, context graphs, and evaluation artifacts — eliminating private dialects and silent regressions.

Vendor Neutral

Any model · any IDE

Evidence-First

Stage gates · SoA · evals

Production Depth

AIDLC · MCP · LLMOps

Project Stewardship

Steward & Author Profile

12+ Yrs Architecture
Gaurav Mithas

Gaurav Mithas

Principal Solutions Architect & AI Coach

Publicis Sapient · Project Steward, AIES

Over 12 years of experience steering enterprise digital transformation, platform engineering, and high-impact AI adoption across global organizations (Publicis Sapient, Nagarro, Wipro, Infosys).

Key Focus & Architecture Expertise

  • AIDLC Rollout: Scaling frameworks from L1 (ad-hoc prompts) to L5 (autopilot agents, agentHooks, context graphs).
  • Token & Cost Optimization: Designing semantic prompt caching and bounded context window guidelines.
  • Enterprise Architecture: MACH Architecture, Microservices, Microfrontends, OpenTelemetry, and Architecture Review Boards.

Direct Contact & Channels

Emailgrvmithas@gmail.com
Phone+91 8810381647
GitHub Repository →GitHub Profile →Start onboarding →