Agentic Coding Operation Ready, not Vibe Coding
Ziverge’s Agentic Coding Training & Certification teaches accomplished engineers how to increase throughput with coding agents while retaining ownership for correctness, quality, and production readiness.
Ship features at agent speed
Train Human Owned Quality & Oversight
Use your infrastructure or Ziverge’s
Choose the Right Format
Ziverge offers both a full intensive for company-sponsored team training and a lighter overview for individual engineers.
Full Intensive
A 6-day training designed for companies that want deeper capability, measured outcomes, and Z-Score Certification.
Availability Moderate
Next Cohort
June 8th-13th, Denver Colorado
Light Training
A short training designed for individuals who want practical exposure, core concepts, and guided Agentic Coding skills.
Individual enrollment Opening Soon
Next Cohort
May 20th-21st, San Jose California
Inside the 6-Day Intensive
Each day blends instruction, mentored execution, and reviews to help engineers build real supervisory skill, not just tool familiarity.
Monday
Day 1
Supervisory Engineering Foundations
Foundations, setup, and first working increment
- Delegate, review, own
- Mental models for AI
- Model & tool selection
- Fluency ≠ correctness
Tuesday
Day 2
Execution Control Surfaces
Foundations, setup, and first working increment
- Context engineering
- Persistent instruction architecture
- Trust boundaries
- State management & handoffs
Wednesday
Day 3
Planning, Decomposition & Task Design
Foundations, setup, and first working increment
- Planning as an execution artifact
- Bounded, parallelizable units
- Delegation triage
- Task shaping & verification paths
Thursday
Day 4
Environment, Harnesses, Evals, Safety
Foundations, setup, and first working increment
- Git worktrees, tmux, lane isolation
- Tests, linters, type checks, harnesses
- Evals: task, workflow, environment
- Output validation & supply-chain discipline
Thursday
Day 4
Agents, tool use, and harness patterns
Foundations, setup, and first working increment
- Multi-lane parallel execution
- Review craft & failure patterns
- Reconvergence & merge sequencing
- Reproducible merge gates
Monday
Day 1
Z-Score Certification
Foundations, setup, and first working increment
- Full field exercise
- Triage → plan → delegate → merge
- Ownership defense under questioning
- Passing begins at Z3
What you get in practice
Ziverge combines AI-enabled execution with lead-level engineering ownership, so teams can move faster without giving up quality, accountability, or control.
AI-Enabled Execution
3-10x faster throughput with AI
Better context handling across complex tasks
Parallel progress across multiple lanes
Plan-first delegation of implementation work
Shorter path from task shape to verified output
Merged with...
Engineering Ownership
Rigorous review before anything ships
Explicit ownership for every shipped change
Verification through tests, harnesses, and evals
Safer execution through trust boundaries and controls
Clean reconvergence and reproducible merge discipline
Speed without loss of control
Fluency is not correctness
AI-generated code still needs disciplined review.
Verification is built in
Tests, harnesses, evals, and output validation are part of the workflow.
Parallel work needs supervision
Speed only matters if multiple lanes can be reviewed and merged safely.
Ownership stays human
If it ships, the engineer still owns the code, quality, and outcome.
Control scales better than hope
Teams need bounded delegation, trust boundaries, and reproducible merge discipline.
ZIVERGE CERTIFICATION
Z-Score Certification Levels (Z3 to Z6)
Every engineer who completes the program receives a Z-Score based on how much concurrent AI-augmented engineering work they can supervise from intake to verified completion while maintaining full ownership of the outcome. Passing begins at Z3.
Z3
3 Agents
Z5
4 Agents
Z6
6 Agents
Z4
4 Agents
Higher scores indicate greater supervisory capacity under the same standard of accountability, review quality, and production readiness.
Train once. Ship faster every sprint.
Agentic Coding workflows, production-grade guardrails, and infrastructure guidance, so your engineers can deliver faster with confidence.
Or Learn about embedding a Ziverge Embedded Agentic Engineers
Practical training. Real workflows. Production-grade outcomes.
Industries
Banking & Fintech
IT & Technology
+1 812 399 3622
1632 1st Ave #20831, New York, NY 10028
Copyright © 2020 - 2026. Ziverge, Inc. All Rights Reserved.
Agentic Coding Operation Ready, not Vibe Coding
Ziverge’s Agentic Coding Training & Certification teaches accomplished engineers how to increase throughput with coding agents while retaining ownership for correctness, quality, and production readiness.
Ship features at agent speed
Train Human Owned Quality & Oversight
Use your infrastructure or Ziverge’s
Choose the Right Format
Ziverge offers both a full intensive for company-sponsored team training and a lighter overview for individual engineers.
Light Training
A short training designed for individuals who want practical exposure, core concepts, and guided Agentic Coding skills.
Individual enrollment Opening Soon
Next Cohort
May 20th-21st, San Jose California
Full Intensive
A 6-day training designed for companies that want deeper capability, measured outcomes, and Z-Score Certification.
Availability Moderate
Next Cohort
June 8th-13th, Denver Colorado
Inside the 6-Day Intensive
Each day blends instruction, mentored execution, and reviews to help engineers build real supervisory skill, not just tool familiarity.
Monday
Day 1
Supervisory Engineering Foundations
How should engineers think and make decisions?
- Delegate, review, own
- Mental models for AI
- Model & tool selection
- Fluency ≠ correctness
Tuesday
Day 2
Execution Control Surfaces
How should engineers control execution in flight?
- Context engineering
- Persistent instruction architecture
- Trust boundaries
- State management & handoffs
Wednesday
Day 3
Planning, Decomposition & Task Design
How should engineers shape work for delegation?
- Planning as an execution artifact
- Bounded, parallelizable units
- Delegation triage
- Task shaping & verification paths
Thursday
Day 4
Environment, Harnesses, Evals, Safety
How should engineers build safe execution systems?
- Git worktrees, tmux, lane isolation
- Tests, linters, type checks, harnesses
- Evals: task, workflow, environment
- Output validation & supply-chain discipline
Friday
Day 5
Parallel Execution, Review, Merge Gates
How should engineers run and merge parallel work?
- Multi-lane parallel execution
- Review craft & failure patterns
- Reconvergence & merge sequencing
- Reproducible merge gates
Saturday
Day 6
Z-Score Certification
How should engineers prove full ownership under load?
- Full field exercise
- Triage → plan → delegate → merge
- Ownership defense under questioning
- Passing begins at Z3
What you get in practice
Ziverge combines AI-enabled execution with lead-level engineering ownership, so teams can move faster without giving up quality, accountability, or control.
AI-Enabled Execution
3-10x faster throughput with AI
Better context handling across complex tasks
Parallel progress across multiple lanes
Plan-first delegation of implementation work
Shorter path from task shape to verified output
Merged with...
Engineering Ownership
Rigorous review before anything ships
Explicit ownership for every shipped change
Verification through tests, harnesses, and evals
Safer execution through trust boundaries and controls
Clean reconvergence and reproducible merge discipline
Speed without loss of control
Fluency is not correctness
AI-generated code still needs disciplined review.
Verification is built in
Tests, harnesses, evals, and output validation are part of the workflow.
Parallel work needs supervision
Speed only matters if multiple lanes can be reviewed and merged safely.
Ownership stays human
If it ships, the engineer still owns the code, quality, and outcome.
Control scales better than hope
Teams need bounded delegation, trust boundaries, and reproducible merge discipline.
ZIVERGE CERTIFICATION
Z-Score Certification Levels (Z3 to Z6)
Every engineer who completes the program receives a Z-Score based on how much concurrent AI-augmented engineering work they can supervise from intake to verified completion while maintaining full ownership of the outcome. Passing begins at Z3.
Z3
3 Agents
Z4
Z5
Z6
6 Agents
Higher scores indicate greater supervisory capacity under the same standard of accountability, review quality, and production readiness.
Train once. Ship faster every sprint.
Agentic Coding workflows, production-grade guardrails, and infrastructure guidance, so your engineers can deliver faster with confidence.
Or Learn about embedding a Ziverge Embedded Agentic Engineers
Practical training. Real workflows. Production-grade outcomes.
Industries
Banking & Fintech
IT & Technology
+1 812 399 3622
1632 1st Ave #20831, New York, NY 10028
Copyright © 2020 - 2026. Ziverge, Inc. All Rights Reserved.