July 30 & 312-Day Live Workshop  ·  Limited Seats

For Engineering Enablement

Build Software at Agent Speed

AI Forward teaches engineers how to supervise agent-powered software delivery without losing control of the work. Across two days, you'll design safer agent environments, structure tasks for delegation, and build the operating habits required to ship AI-assisted code responsibly.

Live online  ·  interactive sessionsIndividual enrollment open now

Impact

From Vibe Coding to Production-Grade Agentic Coding

Select a stage to see what your team produces — and what changes when AI Forward training replaces vibe coding with disciplined, agent-powered delivery.

Lines of Code Generated  ·  Weekly

Lines / Week

2.6k

Features / Sprint

4.9

Bugs / Sprint

6.0

Number of Engineers

Average Seniority

AI Forward · Ziverge

Ready to reach Agentic Delivery?

Curriculum

The New Stack for Agentic Coding

AI Forward gives engineers the patterns behind production-ready agent work: skills, context, guardrails, evals, and human gates that keep speed under control.

Agent SkillsContext EngineeringAGENTS.mdQuality GatesTool GroundingGuardrailsSandboxingPermission GatesSecret ScanningOutput ValidationAudit LogsRollback PathsTask DecompositionSoftware Factory Loops

AI Speed Only Matters If the Work Can Be Trusted

“The biggest shift was realizing agentic coding is not about trusting the model more. It is about designing the system around it better. After the workshop, I had a practical way to delegate, inspect, test, and approve work without letting the agent turn the codebase into confetti.”

Workshop Graduate

AI Forward Workshop Graduate

Instructor

Meet Your Instructor

John A De Goes

John A De Goes

CEO, Ziverge

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.

Schedule

Two Days. One Agentic Coding Operating Model.

Day 1Morning

Build the Agent

Learn the agent loop: prompt, LLM call, parse, execute, feedback, repeat. Cover model choice, tool grounding, and failure modes.

Day 1Early Afternoon

Make It Context-Aware

Configure persistent instructions, inject project knowledge, manage context limits, compress history, and preserve useful state.

Day 1Late Afternoon

Constrain the Blast Radius

Add sandboxing, permission controls, validation wrappers, secret scanning, audit logs, checkpoints, and rollback paths.

Day 2Morning

Shape the Work

Turn vague intent into specs, interfaces, acceptance criteria, implementation plans, verification strategies, and quality gates.

Day 2Late Morning

Run the Factory

Externalize SDLC state, enforce transitions, delegate to sub-agents, tune autonomy by phase, and add human approval gates.

Day 2Afternoon

Prove It Works — Capstone Exercise

Complete the capstone by running the full workflow from intent to verified code with human-owned quality.

Ziverge Certification

Certification Included Upon Successful Capstone Exercise Completion

Show that you can do more than prompt an AI tool. Z Certification recognizes engineers who can guide agents through reviewable, testable, deployable software work with human-owned quality.

If your capstone does not pass, you receive detailed feedback and coaching.

Enrollment

Become an AI Forward Engineer

Learn the operating model for agent-powered delivery: faster execution, controlled autonomy, production guardrails, and human-owned quality.

  • Live 2-day Agentic Coding workshop
  • Hands-on software factory exercises
  • Agent skills, context engineering, and guardrails
  • Planning, evals, review gates, and verification patterns
  • Capstone exercise with post-workshop review
  • Included Certification

Next Session

July 30th & 31st

Live AI Engineering Workshop  ·  Limited Seats

Talk to Ziverge About Team Training

FAQ

Frequently Asked Questions

Do I need to be an experienced engineer?

Yes. This workshop is built for engineers who already understand software delivery. You do not need deep AI expertise, but you should be comfortable with code, development tools, reviews, testing, and production constraints.

Is this a coding workshop or an AI strategy workshop?

It is a hands-on Agentic Coding workshop. You will work with the mechanics of AI-assisted delivery: agent loops, context engineering, tool use, guardrails, task design, evals, review gates, and software factory patterns. It is not an executive AI strategy session.

What is the time commitment?

The workshop runs for two days. Day 1 focuses on agent foundations, context engineering, and safety guardrails. Day 2 focuses on planning, task design, software factory workflows, and the capstone exercise.

Will I learn how to use Claude, Cursor, or other AI coding tools?

Yes, but the workshop is not limited to one tool. The focus is on transferable operating patterns: how agents process instructions, use tools, manage context, follow project rules, operate inside permissions, and produce work that can be reviewed and verified.

Is this only for individual engineers?

No. Individual engineers can attend the workshop, and Ziverge can also train engineering teams. Team training is the better fit when leaders want shared practices around agent workflows, review standards, quality gates, and production accountability.

Will this help my team ship faster?

Yes, when the practices are adopted with discipline. The workshop teaches engineers how to break work into agent-ready tasks, manage context, run parallel work lanes, verify outputs, and keep humans accountable for what ships. The goal is faster delivery without losing control of quality.

Do attendees receive a certificate?

Engineers who complete the workshop can submit their capstone project to Ziverge for review. Passing participants receive Z Certification, based on demonstrated capacity to supervise AI-assisted work lanes with production-level ownership.

What happens if my capstone does not pass?

You receive detailed feedback and coaching from Ziverge. From there, you can retake the workshop to strengthen the skills needed for certification.

Can Ziverge train an entire engineering team?

Yes. Ziverge can run team training for organizations that want Agentic Coding adopted across a group, not just by individual early adopters. This is useful when teams need common patterns for context, guardrails, planning, review, escalation, and production readiness.