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This certificate confirms that,
NEOVERSITY
Verified
Andrii Siuta
successfully completed all modules, live sessions, and practical labs, and defended the capstone project of the program.
AI Agentic Engineering
Senior Engineering Track
Duration:
4 weeks, 8 modules
Format:
live and recorded sessions with practical labs
Capstone-project:
DevDigest — production AI engineering digest tool
Program topics
8 modules covered
Harness as Engineering System
01
Skills
Subagents
MCP
Hooks
CLAUDE.md
Commands
Plugins
5-phase workflow
Surface mapping
DORA/DX Core 4
Skills + CLAUDE.md + Commands
02
Instruction/Workflow/Integration/Meta Skills
Slash Commands
Progressive disclosure
Project vs org-level skills
/spec command
Subagents as Specialized Executors
03
Context quarantine
Read-only reviewers
Requirements-planner
Plan-verifier
Hub-and-Spoke
Peer Mesh
Severity model
MCP Servers + Hybrid Patterns
04
MCP tools/resources/prompts
stdio/HTTP
Custom TS/Python MCP
OpenAPI generation
5-15 tool rule
Token audit
Spec-Driven Development
05
spec.md
plan.md
tasks
MCP-grounded planning
3-level SDD spectrum
6-category requirements
Cross-model review
Hooks + Testing + Verification + Evals
06
PreToolUse/PostToolUse/Stop Hooks
GitHub Actions
TDD-with-AI
Mutation testing
LLM-as-judge
20-trace eval pipeline
Multi-Agent + Worktree Fan-Out + Migration
07
Parallel Implementation
Competing Hypotheses
Contracts-First
Git worktrees
3-5 concurrent agents
Adversarial review
Plugins + CI Agents + Cost + Rollout
08
Plugin bundle
Private marketplace
Model routing
Prompt caching
Cost engineering
30-day rollout
This page is an official confirmation of course completion issued by Neoversity.
Questions about certificate validity —
info@neoversity.com.ua