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Agentic Coding Workshop

Your Team Uses AI Tools — But Not the Full Engine

Most teams treat AI like fancy autocomplete. Meanwhile, AI agents can write, test, and refactor code autonomously. The gap between what your tools can do and what your team actually does with them is costing you real money.

Who is this for?

CTO, Tech Lead, Engineering Manager

You've seen what AI coding tools can do in demos. You want your team to get there — with your own codebase, your own constraints, your own stack.

  • Your team learns to use AI agents as autonomous coders, not just autocomplete
  • Hands-on with your actual codebase — no toy examples
  • Practical security and compliance setup you can bring to your CISO
  • A repeatable approach your team keeps using after the workshop ends

CEO, Managing Director, VP

You're investing in AI developer tools. You want to know: is your team getting real value from them, or are you just paying for expensive autocomplete?

  • Clear picture of what your AI tool investment actually delivers today
  • Your development team ships features faster without adding headcount
  • No black-box magic — you'll understand what changed and why
  • Concrete before/after comparison so you can judge the results yourself

What you actually get

Hands-on workshop

Your team works with AI coding agents on your own code. Not slides, not demos — real tasks from your backlog. Everyone leaves with working setups and patterns they can use the next day.

Custom configuration

We configure AI agents for your specific project: coding standards, project context, review rules. Your team gets a setup that fits how they already work, not a generic template.

Security & compliance review

We walk through data privacy, code ownership, and what actually leaves your infrastructure. You get clear answers you can document for your compliance process.

Follow-up playbook

A written guide with the patterns, configurations, and decision criteria your team built during the workshop. So the knowledge stays when I leave.

Is this right for you?

Good fit

  • Your developers already use AI tools but feel they're scratching the surface
  • You want hands-on practice, not a slide deck about the future of AI
  • You're willing to work with your own codebase during the workshop
  • You care about sustainable adoption, not a one-day wow effect
  • You have at least 3 developers who'll participate

Not a fit

  • You're looking for a general AI strategy presentation for the board
  • Your team hasn't started coding with AI at all — autocomplete basics come first
  • You want guaranteed productivity numbers before you start
  • You need someone to write code for you, not to train your team
  • You expect results without your developers actively participating

How to get started

No commitment upfront. We start with a conversation to see if this makes sense for your situation.

1

Book an intro call

A 30-minute call to understand where your team stands today.

We talk about your current AI tool usage, your team setup, and what you're hoping to get out of a workshop. No pitch — if it doesn't fit, I'll tell you.

2

Get a tailored scope

Based on our conversation, I put together a concrete workshop plan.

You'll see exactly what we'll cover, how long it takes, and what your team needs to prepare. Fixed price, no open-ended consulting engagement.

3

Run the workshop

We work with your team on your code.

Your developers set up and use AI coding agents on real tasks from their project. They leave with working configurations and the skill to keep going on their own.

Frequently Asked Questions

Autocomplete suggests the next line. AI coding agents take a task description, write the implementation, create tests, and iterate on feedback — autonomously. Think of it as the difference between spell-check and someone writing the entire document for you. Most teams use their AI tools at maybe 20% of what's possible.

The workshop works with common tools like Cursor, Claude Code, or GitHub Copilot in agent mode. If you're already paying for AI coding tools, chances are they support agentic features your team isn't using yet. We'll discuss your current setup in the intro call.

No. Teams of 3-5 developers often see the clearest impact because there's less coordination overhead. The approach scales, but small teams can adopt it faster.

No. AI agents are good at writing boilerplate, tests, and repetitive code. They're bad at understanding business context, making architectural decisions, and knowing what to build. Your developers become more productive — they don't become unnecessary.

AI coding agents work with virtually any programming language and framework. Legacy code is actually a strong use case — agents can help with writing tests for untested code, understanding undocumented systems, and safe refactoring. We'll assess your specific situation in the intro call.

Valid concern, and one we address directly in the workshop. We cover which tools send code to external servers, which can run locally, and how to configure them for your compliance requirements. You'll leave with a clear picture of what goes where.

That's the whole point of working with your own code instead of demo projects. Your team builds configurations and habits they can use the next morning. You also get a written playbook with everything we set up, so nothing depends on memory. If your team gets stuck later, we can do a follow-up session.

I've been working exclusively with AI coding agents in real client projects for over a year. I also built an entire product — einfache-erechnung.de — through agentic coding in a few weeks. And I presented this approach at JavaLand 2025, one of the largest Java conferences in Germany. This isn't theory for me. It's how I work every day.

Your team has the tools. Let's make sure they actually use them.

contact@backendhance.com
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