Your engineers are stuck in 2019.
We'll make them 10x architects in 90 days.
Hands-on training that transforms passive AI tool users into agentic workflow masters. Measurable cycle time reduction or your money back.
Your team "uses" AI. But nothing has changed.
GitHub Copilot is installed. ChatGPT tabs are perpetually open. Your engineers technically "use AI tools."
But your DORA metrics haven't budged. Cycle time is the same -or worse. Code review is still a bottleneck.
Here's the brutal truth:
Your team is using AI like a better Google Search. They're still writing syntax line-by-line instead of specifications. They're still reviewing code token-by-token instead of validating architecture.
This isn't AI adoption. This is AI theater.
And while your engineers perform theater, your competitors are shipping 3x faster with half the team.
| What's Happening | The Impact |
|---|---|
| 75% of engineers "use AI tools" | 0% improvement in DORA metrics for most orgs |
| Basic autocomplete (Copilot) installed | No full codebase context = limited value |
| Individual tool usage up | Team velocity unchanged or declining |
| "Transformation" initiatives launched | Results measured in PowerPoints, not PRs |
The 10x Protocol
We don't deliver training seminars. We transform how your team builds software at a fundamental level — with measurable results in 90 days.
Toolchain Migration
From passive autocomplete to full agentic workflows.
Your team migrates from basic GitHub Copilot to Cursor or Windsurf -agentic IDEs that understand your entire codebase, not just the open file.
- Full repository indexing and context configuration
- Multi-file editing and refactoring patterns
- Terminal integration for automated test runs
- Custom rules and prompt templates for your codebase
Workflow Reengineering
From "Typists" to "Architects."
The paradigm shift: engineers stop writing code and start writing specifications. Engineers do 10x the output because they're operating at a higher level of abstraction.
- Writing effective specifications (logic, constraints, edge cases)
- Prompt engineering for code generation
- Iterative refinement techniques
- Architecture-level reasoning with AI assistance
Production Integration
Not simulations. Real work.
Training happens on your actual codebase, your actual tickets, your actual sprint cycles. By week 8, the new workflows aren't "training" -they're just how your team works.
- Engineers complete real Jira tickets using new workflows
- PRs go through real review processes
- Issues surface and get resolved in real context
- Muscle memory forms around actual work patterns
Optimization & Measurement
We hit the numbers or we iterate until we do.
We measure progress weekly against baseline metrics. If we're not on track for 30-50% cycle time reduction, we diagnose and adjust.
- Weekly progress measurement against baseline
- Targeted coaching for specific team segments
- Workflow refinements based on real data
- The guarantee: Measurable improvement or extended at no cost
The Difference: Copilot vs. Agentic IDEs
When AI understands your entire repository, hallucinations drop. Relevant suggestions soar.
| Capability | GitHub Copilot | Agentic IDE (Cursor/Windsurf) |
|---|---|---|
| Context awareness | Single file/tabs | Full codebase (RAG) |
| Multi-file edits | No | Yes (refactor across files) |
| Command line integration | Partial | Deep (runs terminal commands) |
| Apply functionality | Copy-paste suggestions | Direct diff application |
Curriculum Deep-Dive
Module 1: Agentic IDE Mastery
- Full repository indexing and context configuration
- Multi-file editing and refactoring patterns
- Terminal integration for automated test runs
- Custom rules and prompt templates for your codebase
Module 2: Specification-Driven Development
- Writing effective specifications (logic, constraints, edge cases)
- Prompt engineering for code generation
- Iterative refinement techniques
- Architecture-level reasoning with AI assistance
Module 3: AI-Assisted Code Review
- Automated PR triage and categorization
- Security vulnerability detection
- Logic validation patterns
- Review acceleration techniques
Module 4: Compliance & Security (Bank-Grade)
- Hallucination detection: spotting subtle logic errors
- Data privacy: ensuring PII doesn't leak into model context
- Legacy integration: writing unit tests before refactoring
- Audit trail maintenance for regulated environments
The evidence
A Fortune 500 manufacturer ran our training protocol. Engineers went from "ChatGPT curious" to "agentic workflow masters."
Source: Workera case study, 2025
Post-training, engineers reported saving 4.5 hours per project on average through eliminating entire categories of manual work.
Source: Internal benchmarks
Upskilled employees stay. They become more valuable, they know it, and they're invested in the company that invested in them.
Source: Reworked.co research
Our benchmark. The commitment we make. If your team isn't shipping meaningfully faster within 90 days, something is broken and we fix it.
Source: Our guarantee
"Will AI replace my engineers?"
Let's address this directly: No. But it will obsolete engineers who don't adapt.
The upskilling investment isn't about making your current team redundant. It's about making them irreplaceable.
Engineers who master agentic workflows become the architects your competitors will try to poach. They're not threatened by AI -they're amplified by it.
The real risk: The engineers you don't upskill will leave anyway -for companies that invested in their growth.
Investment
Cohort-Based
per training cohort
For teams of 10-50 engineers
- 12-week program with full curriculum
- On-site or remote delivery
- Includes measurement and iteration
- Dedicated training facilitator
Per-Seat Tier
per engineer
For scaled enterprise deployment
- Asynchronous + live session hybrid
- Self-paced with coaching checkpoints
- Scales to hundreds of engineers
- Progress tracking dashboard
Enterprise Unlimited
per year
For org-wide transformation
- Unlimited seats
- Continuous curriculum updates
- Dedicated success manager
- Quarterly outcome reviews
Ongoing Support
$3,000 - $7,000/month retainer
Office hours, coaching calls, new hire onboarding, workflow optimization as tools evolve
Frequently Asked Questions
What if some engineers resist the new tools?
Do engineers need coding experience with AI to start?
Can this work for non-engineering roles (Product, QA, etc.)?
What happens after the 12 weeks?
See what 10x looks like for your team
In a 30-minute assessment call, we'll:
- 1Analyze your current tooling, workflows, and team structure
- 2Identify the specific bottlenecks limiting your velocity
- 3Model what 10x looks like -concretely -for your organization
- 4Outline a 90-day implementation path
No pitch decks. No pressure. Just clarity on what's possible and what it takes.
Or email us directly: business@whataboutai.com
Ready to turn your team into 10x Architects?
Schedule an upskilling assessment and see what 10x looks like for your organization.