Kentro

Cohort 1

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Course Overview ・Duration: 2 weeks, 6 intensive sessions・Format: Cohort-based course・Goal: Transform generic AI assistants into personalized coding partners that understand your codebase, patterns, and needs Core Value Proposition Stop wasting time with generic AI suggestions. Learn to create a personalized AI coding partner that actually understands YOUR specific context and requirements, regardless of which AI tool you use (Cursor, Copilot, Amp, Claude Code, Windsurf, etc.). Instructors ・Eleanor Berger: Engineering and AI leader with experience in DevOps/SRE/Cloud, Applied AI, and Engineering Leadership.・Isaac Flath: Dev efficiency expert with experience at big tech, open source, and advising companies. Companies We've Helped ・SpecStory・Travel and Leisure・Cable &amp; Wireless Communications・GitHub・Microsoft・Google・Canonical・Answer AI・and more ... Companies Our Students Are From ・Amazon (AWS)・Microsoft・X・DocuSign・Monster・TrustLayer・and more … Curriculum 📚 Mise en Place: Preparing tools, environments, and context for working with AI・Rules and config setup・Documentation strategies・Tools &amp; environments configuration・LLM as assistant paradigm 📚 Good Vibrations: Interactive AI coding・AI coding IDEs and tools comparison・Interactive agents and workflows・Real-time collaboration patterns 📚 While You Were Gone: Delegating work to background agents and workflows・Background agents configuration・CI/CD workflows with AI・Autonomous task delegation Weekly Session Breakdown 🗓️ Week 1: Foundation &amp; Personalization 📋 The Context Progression JourneyMove from Generic → Curated → Personalized contextReal before/after examples showing 10x effectiveness improvementsMise en Place principles for AI setup 📋 AI Assisted Development ToolkitComprehensive tool comparison and selection guideHands-on evaluation of latest tools worth tryingInteractive AI coding patterns 📋 Personalizing Your Static ContextPractical examples and transformationsContext curation best practicesEfficient management techniquesRules and configuration management 🗓️ Week 2: Automation &amp; Advanced Techniques 📋 Automating Updates from Chat InteractionsTools for automatic context evolutionMining conversation history for improvementsPattern analysis to fix recurring AI failures 📋 Model Context Protocol (MCP) and Agent-Based ContextBuilding practical MCP serversReal-world examples used in daily developmentAutomated repetitive information gatheringBackground agent architectures 📋 Dynamic Context and ToolsTool calling and dynamic information accessBuilding useful integrations for daily workflowProduction-ready tools useful for immediate projectsCI/CD integration strategies Key Learning Outcomes 🛠️ Technical Skills・Universal AI Setup System: Build context systems that work across ALL major AI tools (no vendor lock-in)・Automated Context Evolution: Automate context updates based on actual coding patterns・Pattern Mining &amp; Analysis: Turn every AI mistake into a learning opportunity・MCP Server Development: Create practical automation tools for daily use 🏗️ Practical Applications・ Create and maintain context-independent rules across all major AI coding tools・ Efficiently manage and sync context for different formats (Amp, Copilot, Cursor, Copilot, Windsurf, Claude Code, etc...)・ Analyze conversation history to identify and fix AI pattern failures・Build real integrations that drastically enhance workflow 🔁 Workflows・Plan and task-based agentic processes・Targeted human augmentation approaches・Matching tasks to optimal AI assistance methods・Enterprise deployment strategies and processes 🏢 Enterprise Integration・ Implementing AI coding tools in enterprise settings・Security and compliance considerations・Team adoption strategies・Scaling personalized context across organizations・Integration with existing development workflows Target Audience Developers who:・Use AI coding assistants but feel limited by generic suggestions・Want to maximize productivity with personalized AI tools・Need a vendor-agnostic approach to AI coding assistance・Seek practical, production-ready solutions over theoretical concepts・Know AI should be better, but doesn't see how to get there Course Philosophy ・Focus on real-world applications・Vendor-agnostic approach ensures long-term value・Continuous improvement through automated pattern analysis・Practical tools you'll use daily in production environments

Transform generic AI assistants into personalized coding partners

Course syllabus

While this is not a coding course, this content is to help people code

Coding Experience

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Tuesdays & Thursdays

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May 7, 2022

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Weekly projects

Course schedule

Developers who want to build technically solid solutions with confidence

Coders who want to move from copy-and-paste to consistent and reliable AI-assisted development skills

Engineers and leaders who need to adopt and grow dependable and repeatable AI-assisted software development processes

Who is this course for

What you’ll get out of this course

<ul><li>Universal AI Setup System: Build context systems that work across ALL major AI tools (no vendor lock-in)</li><li>Automated Context Evolution: Automate context updates based on actual coding patterns</li><li>Pattern Mining &amp; Analysis: Turn every AI mistake into a learning opportunity</li><li>MCP Server D</li></ul>

Technical Skills

<ul><li>Create and maintain context-independent rules across all major AI coding tools</li><li>Efficiently manage and sync context for different formats (Amp, Cursor, Copilot, Windsurf, Claude Code)</li><li>Analyze conversation history to identify and fix AI pattern failures</li><li>Build real integrations that</li></ul>

Practical Applications

<ul><li>Plan and task-based agentic processes</li><li>Targeted human augmentation approaches</li><li>Matching tasks to optimal AI assistance methods</li><li>Enterprise deployment strategies and processes</li></ul>

Workflows

<ul><li>Implementing AI coding tools in enterprise settings</li><li>Security and compliance considerations</li><li>Team adoption strategies</li><li>Scaling personalized context across organizations</li><li>Integration with existing development workflows</li></ul>

Enterprise Integration

Make it code like you do. Turn generic AI assistants into coding partners that actually get your style and have the right context.

Microsoft

Google

Canonical

Eleanor Berger

AI Leader, ex-Microsoft, ex-Google

Travel + Leisure

Cable & Wireless Communications

SpecStory

Answer AI

AnkiHub

Isaac Flath

Founder of Kentro Tech

OpenHands: AI software development agent platform

Ray Myers

Chief Architect at All Hands

OpenHands is a leading open-source and hosted software development agent platform - versatile and powerful.

Get to know OpenHands

Learn from Ray about the power of agentic AI coding and how it fits within the broader software development landscape.

Learn about agentic AI coding

You Can Just Do Things

Peter Steinberger

Full-Time Open Source Builder

AI is gonna change the world, and it's starting with software development.

Using AI agents to build

Explaining this incredible shift that's currently happening.

Inspirational thoughts and practical tips

Vibe Coding a Broadcasting Graphics Solution in 6 Hours

Stefanie Hetjens

CEO & Founder @ EVERYWOW

Solve an immediate problem perfectly, rather than over-engineering a permanent solution.

A new mindset: Learn when to build "throw-away" software.

How to establish a structured "vibe coding" process to move from a high-level idea to a functional, AI-created solution.

Structured "vibe coding" process

Practical techniques for managing an AI-driven workflow from a real-world example.

AI-driven Workflows

Agents that do the things Claude Can't

Vincent Warmerdam

Founding Engineer at Marimo, Creator of Calm Code

Learn to create taskmaster agents with specialized AI tools you can delegate repetitive tasks

Create customized Terminal Agents Customized for Tasks

A new approach to AI in notebooks, leveraging their dynamic nature to include more context about your code

Learn about the new dynamic AI context in Marimo Notebooks

The Parallel Agent Multiplier

Charlie Holtz

Founder of Melty, Lead Developer of Conductor

AI Expert and Technology Leader (ex-Microsoft, ex-Google)

Get usage tips and information about conductor from the only source that has all the information

Inside look at Conductor from the team who built it

Learn to efficiently manage tasks across agents and coordinate their outputs for maximum efficiency

Learn Parallel Coding Agents Workflows

Learn to set up Conductor to manage multiple AI agents working on your codebase

Build Your First AI Dev Team

AI-assisted DevOps:
Driving Git and GitHub

Clelia Astra Bertelli

Open Sourceress @ LlamaIndex

Building a tool that focuses on a specific task or environment can help accelerate operations.

Building a task-focused AI tool

Learn about Gut, an open-source AI tool for driving operations with Git and GitHub

Gut: a Git and GitHub AI driver

AI tools can assist in all aspect of the software lifecycle, not just in writing code.

AI-assistance beyond coding

Writing Strong Content with AI

Hamel Husain

Independent AI Consultant — AI Evals Teacher

Build a toolbox that serves you through all stages of writing and publishing.

Tools and techniques for writing with AI

Adopt repeatable processes that support you in authoring and publishing content efficiently.

Effective processes for AI writing and publising

Steer AI tools as a writer without compromising on your personal voice and style.

AI writing with quality and style

Toad - a universal UI for agentic coding in the terminal

Will McGugan

Python Textual UI Guru

Toad aims to raise the bar on TUI quality for coding agents, with jank-free, rich display

Learn about Toad, a new terminal coding agent in development

TUIs are exploding thanks to interest in coding agents and other tools. Modern Python can serve them well.

Learn about TUIs in Python

Amp Takes Agentic Coding Up to 11

Quinn Slack

CEO of Sourcegraph

Why is Amp getting traction in a space with such powerful incumbents like Claude Code?

Where did Amp come from?

Cut through the hype and understand the fundamental differences that matter

Why is Amp different: The Real Story

Hear straight from the CEO about what's coming next

Direct Access to the Vision

Learn the top features first-time users miss and how to leverage them when you try Amp

Avoid Common Pitfalls

Build a Product Video in a Day Agentically

Greg Ceccarelli

Co-Founder SpecStory, Past CPO Pluralsight, Ex-Github

Professional product  videos typically cost thousands. Learn the exact workflow that made this possible in 2 hrs

The "$10,000 video for $0" method

Why React components beat keyframes for product videos, and how to leverage your existing dev skills with coding agents

Skip months of learning After Effects

The exact project structure, file organization, and iteration process that
 enables rapid video development

Remotion + AI workflow secrets

Get access to the complete source code, assets and chat history and follow along to create your own version

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