AI Skills for Real Engineers
- Why You Need an LSP and “Context Integrity” for reliable autonomous code generation.
- The Secret Weapon: Multi-session workflows to run multiple coding agents in parallel safely.
- The Simple 3-Step Process to build, test, and automatically validate code without regressions.
Is Your Team Stuck in the “AI Coding Trap”?
Adding AI to your workflow should make you a 10x engineer—not a 10x debugger. Here is why standard AI generation often falls flat:
AI “Slop” & Messy PRs
Generating code is easy, but it often results in bloated, unmaintainable “slop.” Pull Requests become massive black boxes that are impossible for humans to review or trust.
The “Copy-Paste” Black Box
Accepting AI-generated code without fully understanding how it works under the hood. You lose ultimate control over your own system and accumulate massive technical debt.
Broken Context & Amnesia
Agents working in isolated silos without full workspace context. They generate code that clashes with local design conventions, file structures, and repository-wide constraints.
The Verification Bottleneck
Spending more valuable engineering hours manually validating, formatting, and debugging “YOLO-written” AI outputs than it would have taken to write clean code yourself.
What I Cover in the Webinar
David Harvey
David Harvey is an experienced staff software engineer and the lead trainer for this exclusive OpenCode masterclass training. With a deep passion for open-source systems, automated tooling, and the developer experience, David has spent years architecting scalable platforms and developer-centric workflows.
Under his guidance, the OpenCode core team has designed high-performance agentic workflows that integrate directly with modern LSPs, track context state intelligently, and auto-verify all generated code through automated test suites.
In this training, David reveals the exact architectural blueprints and debugging strategies he has perfected over a decade of high-stakes product engineering. You will learn how to turn manual coding overhead into automated, predictable, and bulletproof success.
