Use AI Agents to Ship Faster Without Losing Control of Quality
A hands-on training course from Ziverge that teaches engineers how to delegate clearly, review critically, verify rigorously, and stay accountable for AI-assisted work that ships.This is not vibe coding. This is a practical operating model for using AI agents inside real engineering workflows, with human judgment, testing, review discipline, and production readiness at the center
RESERVE YOUR SEAT
Live Agentic Coding Training • $1,000 per attendee • Limited cohort capacity
Free AI Forward Course
For individual engineers who want a practical introduction to Agentic Coding.
2-Day Online Course
Individual enrollment Open Now
Next Training
May 21th-22nd
Built by Engineers Who Work in Production Systems
Ziverge helps engineering organizations scale output without scaling headcount through embedded AI-forward engineers, Agentic Coding training, and production-ready automation.
Practical training for real delivery environments
Designed for experienced engineers
Focused on reviewable, testable, maintainable output
Built around human ownership of shipped work
Free AI Forward Course
For individual engineers who want a practical introduction to Agentic Coding.
2-Day Online Course
Individual enrollment Open Now
Next Training
May 21th-22nd
AI Speed Only Matters If the Work Can Be Trusted
"Placeholder testimonial from engineering leader or training participant about how the course helped their team move faster while improving structure, review discipline, and confidence in AI-assisted delivery."
RESERVE YOUR SEAT
Meet Your Instructor
Ziverge teaches engineers how to use AI agents as supervised execution partners, so speed turns into reviewable, testable, production-ready work.
John A De Goes, CEOZiverge, Golem.cloud, follow on X
Your Agentic Coding Training Journey
A practical course that teaches engineers how to use AI agents with discipline: delegate clearly, review critically, and own the work that ships.
Day 1
Morning
Supervisory Engineering Foundations
Foundations, setup, and first working increment
- Delegate, review, own
- Mental models for AI
- Model and tool selection
- Fluency ≠ correctness
- Data posture awareness
Day 1
Day 2
Context Engineering & Trust Boundaries
Foundations, setup, and first working increment
- Write, select, compress, isolate
- Persistent instruction architecture
- CLAUDE.md, AGENTS.md, task templates
- Trust boundaries
- State management and handoffs
Day 1
Afternoon (Late)
Planning, Decomposition & Task Design
Foundations, setup, and first working increment
- Planning as an execution artifact
- Bounded, parallelizable units
- Interface-first work
- Delegation triage
- Task shaping and verification paths
Day 2
Morning (Early)
Operating Environment & Safety Harness
Foundations, setup, and first working increment
- Git worktrees, tmux, lane isolation
- Tests, linters, type checks
- Smoke checks and repro scripts
- Output validation
- Dependency and supply-chain discipline
Thursday
Day 4
Agents, tool use, and harness patterns
Foundations, setup, and first working increment
- Multi-lane execution
- WIP control and stop-the-line triggers
- Review craft and failure patterns
- Merge sequencing
- Clean-session reproducibility
Monday
Day 1
Capstone Exercise
Foundations, setup, and first working increment
- Triage realistic tasks
- Shape bounded lanes
- Launch parallel agent work
- Review generated output
- Reconverge and validate
ZIVERGE CERTIFICATION
Z-Score Certification Levels
Take the course for free. Add paid certification to earn your Z-Score and prove how many AI-assisted work lanes you can supervise with production-level ownership.
Z2
2 Agents
Z3
Z4
Z5
Z6
Z7
Z8
8 Agents
Higher scores indicate greater supervisory capacity under the same standard: delegate clearly, review critically, verify the work, and own what ships.
get certified
Start building AI-forward engineering habits.
Take the free course to learn the operating model behind Agentic Coding: delegate clearly, review critically, and keep ownership where it belongs.
Or learn about embedding a Ziverge AI Forward Engineer into your team.
Practical course. Real delivery workflows. Human-owned quality.
Ziverge
+1 812 399 3622
1632 1st Ave #20831, New York, NY 10028
Copyright © 2020 - 2026. Ziverge, Inc. All Rights Reserved.
Use AI Agents to Ship Faster Without Losing Control of Quality
A hands-on training course from Ziverge that teaches engineers how to delegate clearly, review critically, verify rigorously, and stay accountable for AI-assisted work that ships.This is not vibe coding. This is a practical operating model for using AI agents inside real engineering workflows, with human judgment, testing, review discipline, and production readiness at the center
RESERVE YOUR SEAT
Live Agentic Coding Training • $1,000 per attendee • Limited cohort capacity
Built by Engineers Who Work in Production Systems
Ziverge helps engineering organizations scale output without scaling headcount through embedded AI-forward engineers, Agentic Coding training, and production-ready automation.
Practical training for real delivery environments
Designed for experienced engineers
Focused on reviewable, testable, maintainable output
Built around human ownership of shipped work
AI Speed Only Matters If the Work Can Be Trusted
"Placeholder testimonial from engineering leader or training participant about how the course helped their team move faster while improving structure, review discipline, and confidence in AI-assisted delivery."
RESERVE YOUR SEAT
Meet Your Instructor
John Arlen De Goes is a highly accomplished technology executive, software architect, and entrepreneur with over 15 years of experience in enterprise software engineering, distributed systems, and platform development. As the Founder and Chief Executive Officer of Ziverge, Inc., he provides strategic leadership and executive oversight for complex technology engagements, including enterprise-scale artificial intelligence and generative AI initiatives.
Mr. De Goes has deep expertise in designing and delivering scalable, high-performance systems across cloud-native environments. He is widely recognized for his leadership in the open-source ecosystem, particularly in functional programming and the ZIO ecosystem, where he has contributed to the development of tools and frameworks used by global organizations.
John A De Goes, CEOZiverge, Golem.cloud, follow on X
Your Agentic Coding Training Journey
A practical course that teaches engineers how to use AI agents with discipline: delegate clearly, review critically, and own the work that ships.
Day 1
Morning
Supervisory Engineering Foundations
How should engineers think and make decisions?
- Delegate, review, own
- Mental models for AI
- Model and tool selection
- Fluency ≠ correctness
- Data posture awareness
Day 1
Afternoon (Early)
Context Engineering & Trust Boundaries
How to give agents context without losing control?
- Write, select, compress, isolate
- Persistent instruction architecture
- CLAUDE.md, AGENTS.md, task templates
- Trust boundaries
- State management and handoffs
Day 1
Afternoon (Late)
Planning, Decomposition & Task Design
How should engineers shape work for delegation?
- Planning as an execution artifact
- Bounded, parallelizable units
- Interface-first work
- Delegation triage
- Task shaping and verification paths
Day 2
Morning (Early)
Operating Environment & Safety Harness
How should engineers build safer execution systems?
- Git worktrees, tmux, lane isolation
- Tests, linters, type checks
- Smoke checks and repro scripts
- Output validation
- Dependency and supply-chain discipline
Day 2
Morning (Late)
Parallel Execution, Review & Converge
How should engineers run and merge parallel work?
- Multi-lane execution
- WIP control and stop-the-line triggers
- Review craft and failure patterns
- Merge sequencing
- Clean-session reproducibility
Day 2
Morning (Afternoon)
Capstone Exercise
How should engineers apply the full operating model?
- Triage realistic tasks
- Shape bounded lanes
- Launch parallel agent work
- Review generated output
- Reconverge and validate
ZIVERGE CERTIFICATION
Z-Score Certification Levels
Take the course for free. Add paid certification to earn your Z-Score and prove how many AI-assisted work lanes you can supervise with production-level ownership.
Z2
2 Agents
Z3
Z4
Z5
Z6
Z7
Z8
8 Agents
Higher scores indicate greater supervisory capacity under the same standard: delegate clearly, review critically, verify the work, and own what ships.
get certified
Start building AI-forward engineering habits.
Take the free course to learn the operating model behind Agentic Coding: delegate clearly, review critically, and keep ownership where it belongs.
Or learn about embedding a Ziverge AI Forward Engineer into your team.
Practical course. Real delivery workflows. Human-owned quality.
Ziverge
+1 812 399 3622
1632 1st Ave #20831, New York, NY 10028
Copyright © 2020 - 2026. Ziverge, Inc. All Rights Reserved.