The Agentic Engineering WorkShop

Cost Savings, Lower Cognitive Load, State-of-the-Art Agentic Workflows

Stop chasing agentic AI hype. Build a workflow that holds up.

Cut through AI tooling noise and social media slop, then build a practical agentic workflow that reduces cost, lowers cognitive overload, and improves software delivery.

This workshop helps developers filter the fast-moving tooling landscape, adopt high-ROI techniques, and reduce both token spend and mental fatigue during long coding sessions.

You will practice tool-agnostic workflows with TUI harnesses and support tools such as cmux or tmux, then apply them to full-stack architecture work across frontend, backend, database, and deployment.

Why This Is Different

Cut through the noise, save cost, and reduce cognitive overload.

•Practical developer workflows that cut through tool noise and social media slop.
•Cost-saving techniques aimed at reducing AI coding spend by 30%.
•Cognitive overload reduction for long coding and prompting sessions.
•State-of-the-art, tool-agnostic workflows across coding agents and harnesses.

Cognitive Debt

The hidden cost of keeping up with AI drama.

AI tooling is moving fast, and not all movement is progress. Developers now have to track model changes, pricing surprises, tool access drama, broken workflows, and social media hype while still trying to ship.

Recent examples include Anthropic blocking third-party Claude access, Hermes.md exposing fragile subscription/API-rate billing, OpenAI publishing about strange “goblin” behavior in model outputs, and constant debates about which Gemini, Claude, OpenAI, or local model is actually reliable this week.

This creates cognitive debt: the hidden mental cost of staying current, deciding what matters, switching tools, rewriting prompts, and rebuilding workflows every time the ecosystem shifts.

This workshop helps you cut through that noise with a practical 80/20 framework: what to ignore, what to adopt, how to control cost, and how to build an agentic workflow that survives the next wave of AI drama.

By The End

You will leave with outcomes you can reuse.

•Cut through AI tooling noise and social media slop using an 80/20 ROI filter.
•Set up a state-of-the-art agentic workflow using a coding plan, API key or subscription, and harness.
•Improve prompts through structured comparison, peer review, and outcome-based iteration.
•Reduce AI coding costs by targeting 30% savings against a baseline workflow.
•Lower cognitive overload with clearer task decomposition and terminal workspace control.
•Coordinate agent-assisted frontend, backend, database, and deployment responsibilities.

Deliverables

Everything is aimed at shipping better with less overhead.

•Demo-ready or deployed full-stack project
•Reusable prompt templates for planning, building, debugging, review, and deployment
•Personal agentic engineering workflow playbook
•Cost-reduction and cognitive-load-reduction checklists
•Before/after workflow comparison

FAQ

Common questions before joining.

Do I need to use a specific AI coding tool?▼

No. The workshop focuses on tool-agnostic workflows that work across different AI coding assistants.

Is this beginner-friendly?▼

You should have basic coding experience, but you don't need to be an AI expert. The workshop is designed for developers at all levels.

Will we only talk about prompts?▼

No. While prompting is covered, the workshop focuses on complete workflows including setup, debugging, deployment, and team collaboration.

Content

The 3 main parts of the workshop.

Key concepts and tools setup▼

Covers agentic engineering workflow foundations, TUI harness setup, cmux and tmux workspace patterns, and prompt and context management.

Cost savings and cognitive overload▼

Learn specific techniques to reduce token usage, optimize your AI coding spend by up to 30%, and manage mental fatigue during long coding sessions.

Coding workshop▼

Hands-on project work where you'll apply everything you've learned to build a complete full-stack application with agentic workflows.