May 3 (edited) • General discussion
Start Here. AI Coding Agents: 1-on-1 Live Workshop
If you are a Software, DevOps, or QA Automation Engineer, you can see and feel how the work around you is changing. AI in 3 years went from being a "toy" to being a real tool with real workflows and huge impact on the way we work.
The engineering teams that use AI coding agents can ship in days what used to take two weeks. Companies know that.
That is why knowledge of how to use AI coding agents is a mandatory skill now for the interviews and daily work.
This is a problem for everyone in the engineering field. You did not cause it, but you have to solve it. You stay slower than peers who already use agents. You show up weaker in interviews that now test AI skill. In a market that laid off 170,543 tech workers in 2026 alone (https://www.trueup.io/layoffs), companies are consolidating around people who multiply themselves with AI.
But figuring this out alone is hard. New tools, updates, changes in the approaches happen every few weeks... For example a few months ago MCP was the hot topic, now it's slowly going away and custom CLI tools are replacing it. This is just one example but there are many more like this. That is what makes learning AI agents hard.
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🟢 There is a solution. You have to do the same thing that you did back in the day when you were starting out. Learn the fundamental principles and workflows that are going to be the base for all your AI coding agents skills.
↳ You don't go and "learn" best programming practices without knowing how to program in the first place.
↳ You don't learn Terraform before knowing what cloud infrastructure is.
↳ You don't learn testing frameworks if you don't know how to write a single line of code.
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🟢 Same with the agents. Foundation must come first. That is why I built this 1-on-1 workshop, so you:
↳ Get the skills and experience to use AI coding agents and not fall behind your peers who already use them.
↳ Become the engineer your team turns to, the one who doesn't just use AI agents well, but teaches everyone else how
↳ Stop worrying about layoffs. Become AI-native and be ready for the future.
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🟢 Why this workshop works?
1. It's taught by a Principal Automation Engineer (more about me below)
2. I successfully integrated use of AI coding agents into different teams at the company where I work and provided consulting to companies in different industries and for different teams (DevOps, QA, Software Engineering, etc.)
3. I spend around ~$500 monthly on AI agents for my personal projects and $1,000/month at work
4. You get 1-on-1 tailored sessions that are built around your specific role, stack, and agent you use.
5. You are not the first one to go through this. Many members of this community have already gone through the workshop and not only start using AI coding agents in their work, but also were able to get the job in this brutal market and even start working on personal projects, since proper usage of AI coding agents allows them to run them in the background.
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🟢 𝐀𝐛𝐨𝐮𝐭 𝐌𝐞, 𝐚𝐧𝐝 𝐖𝐡𝐲 𝐈 𝐁𝐮𝐢𝐥𝐭 𝐓𝐡𝐢𝐬 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩
I'm 𝐌𝐚𝐭𝐯𝐢𝐲, a 𝐏𝐫𝐢𝐧𝐜𝐢𝐩𝐚𝐥 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 with 𝟏𝟎+ 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞.
I've worked across startups and large enterprises, building automation frameworks and infrastructure across pretty much all modern stacks and tools.
I also build AI agents for custom workflows, using the Strands Agents SDK, the AI SDK, and similar frameworks, deployed on AWS and Cloudflare. On top of that, I ran training that helps engineering, DevOps, and QA teams integrate AI coding agents into their specific daily work.
Getting those skills cost me $5,000+ of my own money and months of trial and error: what to use, how to use it, when to use it.
That is why I built this community and this workshop. You get the exact same skills and workflows that I used to get to the next level and help other people do the same, delivered directly to you.
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🟢 𝐖𝐡𝐚𝐭 𝐈𝐬 𝐓𝐡𝐢𝐬 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩
This is a 𝟏-𝐨𝐧-𝟏 workshop. Three live sessions (2 hours each), built around you: your role, your stack, and your AI coding agent.
After joining the workshop we will have a prep call to discuss your specific role and stack. Additionally you will be able to pick:
🟦 Your AI Coding Agent
↳ Cursor
↳ Kiro
↳ GitHub Copilot
↳ Codex
↳ Claude Code
Tell me which one on the prep call. Every exercise and example in your sessions runs inside that agent.
🟦 The Three Paths
Pick the path that matches your role. The format, depth, and 1-on-1 setup are identical across all three. What changes are the examples, the exercises, and the artifacts you leave with.
𝟏. 𝐆𝐞𝐧𝐞𝐫𝐚𝐥 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 for developers who want to run AI coding agents well across everyday feature and product work.
𝟐. 𝐃𝐞𝐯𝐎𝐩𝐬 for people who own infrastructure, CI/CD, and deployments, and want AI agents handling that work reliably.
𝟑. 𝐐𝐀 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 / 𝐒𝐃𝐄𝐓 for QA Automation Engineers and SDETs who want AI-generated tests and workflows they can actually trust.
We confirm your path on the prep call, before I build your sessions.
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🟢 How the Workshop Comes Together
1. Discovery call. You book the call where we can discuss if the workshop is the right fit for you and if you have any specific requests or questions.
2. (can be during the Discovery call) We have a short call. I learn about your role, your stack, your path, and the agent you use.
3. I build your three sessions around that context. That takes 7 days.
4. We run the three live 1-on-1 sessions.
5. You keep the recordings and every reusable artifact (AGENTS.md, SKILL.md files, prompts, templates), so the workflow stays with you after the workshop ends.
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🟢 Session outline (same depth for every path):
𝐒𝐞𝐬𝐬𝐢𝐨𝐧 𝟏: AI Foundation + AI Agents and how to set them up for your work
→ LLM foundations: tokens, context windows, why the agent “forgets,” and why bad answers happen
→ How to get better output: clear context, constraints, acceptance criteria, and what “done” looks like
→ How to evaluate and choose the right model for the task (GPT, Claude, Gemini, Grok, etc.)
→ Agent modes (Ask, Agent, Plan): when to use each, and how to chain them into a workflow
→ Hands-on: take an existing piece of work in your starter project, improve it with the agent, review the diff, and catch what the agent missed
What you will get by the end of session #1: Gain the knowledge to use AI coding agents in any repository and build custom workflows that force the AI to produce high-quality code.
𝐒𝐞𝐬𝐬𝐢𝐨𝐧 𝟐: Controlling and Teaching Your AI Agent
→ Why chat-only prompting fails on real repos (and what replaces it)
→ `AGENTS.md`: what belongs in it (stack, commands, conventions, do/don’t rules) so the agent stops needing the same instructions every session
→ `SKILL.md` files: reusable workflows you trigger on demand (vs dumping everything into one giant instruction file)
→ Hands-on: generate and harden an `AGENTS.md` for your starter project, then build one custom SKILLS for a workflow you actually run at work
What you will get by the end of session #2: Learn how to build AGENTS.md and SKILLS files that provide custom knowledge to the agent, tailored specifically to your standards, approaches, and tools.
𝐒𝐞𝐬𝐬𝐢𝐨𝐧 𝟑: Full End-to-End Workflow on Your Path
→ The full loop you will reuse after the workshop: task spec → plan → execute → review → improve → commit (You can reuse it for any task you will ever run with AI coding agents)
→ What MCP is, when it helps, and when a CLI/tooling approach is the better default
→ Bonus, AI Code Reviews: CodeRabbit as a second review layer on agent-written code
→ Hands-on: run that full loop on a real task for your path, for example:
⬩ General Engineering — implement or extend a feature/endpoint.
⬩ DevOps — generate/update an infra code change (Terraform, scripts, custom CLIs etc).
⬩ QA Automation / SDET — generate ready-to-run API tests from a contract and learn how to use AI agents to find UI locators for automation.
What you get by the end of Session 3: How to build a full, end-to-end workflow on your path, using the knowledge and artifacts from the previous sessions.
Also, keep all the artifacts from the sessions. You can drop them into any repo and use the next day.
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📅 How to Join
➜ The price: $997, per person, 1-on-1.
It includes the prep call, all three live sessions (~2h each)built specifically for you, and the video recordings.
Since this is 1-on-1 live workshop + it has tailored preparation for you, DM me for the next available slot.
🛡️ Workflow Guarantee:
Attend all three sessions and complete the hands-on exercises. If, after the workshop, you do not have the workflow and reusable artifacts you need for your daily work, I’ll support you through the community DMs for up to 30 days at no extra cost to help you complete them.
P.S. The reality is: if you want to stay in software engineering, you have to learn to use AI coding agents. The only question is whether you do it now. While you can reach a professional level in a few dedicated hours or wait until you are forced to learn under pressure, when it takes far more time and money. Don't postpone it. Join the workshop today.
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Start Here. AI Coding Agents: 1-on-1 Live Workshop
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