CF

Sharp ideas, shipped fast

45m 18s
English
Paid

Sharp ideas, shipped fast is a 7-lesson 45 minutes self-paced course by Aaron Francis. Get short videos that show clear steps you can use right away.

Course facts

Lessons
7
Duration
45 minutes
Level
All levels
Language
English
Updated
Instructor
Aaron Francis
Price
Premium

Get short videos that show clear steps you can use right away. Each one covers a small skill, tool, or workflow. You can learn fast without taking a full course.

Every video is focused and practical. You will see real tasks and real fixes, not long series or filler.

What You Will Learn

  • how to speed up your work with AI
  • how to automate small tasks with macOS tools, the CLI, and scripts
  • how to debug faster and read logs with less stress
  • how to use tools like Google AI Studio, Stitch, and Sentry
  • how to keep your code clean and avoid tech debt

Each video gives you one clear idea or workflow. You can try it right after you watch.

Who teaches Sharp ideas, shipped fast? Aaron Francis

Aaron Francis thumbnail

Aaron Francis is a Texas-based developer and educator who runs Try Hard Studios and is best known in the PHP / Laravel community for his deep production-database content. His videos and courses focus on the parts of working software that don't get attention from the framework documentation: SQL performance, database internals, and the realities of running databases at scale.

His CourseFlix listing reflects that focus — three database courses (High Performance SQLite, Mastering Postgres, MySQL for Developers) plus two on screencasting craft (Screencasting.com and Screenflow for Screencasters) covering the workflow he uses to produce the database material itself. The database courses are unusually rigorous for the YouTube-tutorial market: each one runs many hours and treats the database as a first-class object of study, not a black box behind an ORM.

What lessons are included in Sharp ideas, shipped fast?

This is a demo lesson (10:00 remaining)

You can watch up to 10 minutes for free. Subscribe to unlock all 7 lessons in this course and access 10,000+ hours of premium content across all courses.

View Pricing
0:00
/
#1: Build tools for yourself
All Course Lessons (7)
#Lesson TitleDurationAccess
1
Build tools for yourself Demo
08:02
2
Creating a version endpoint
04:30
3
First look Google Stitch
13:00
4
Getting logs into your LLM
03:56
5
Google AI Studio
06:45
6
Hope is not a strategy
04:44
7
Some git worktree thoughts
04:21
Unlock unlimited learning

Get instant access to all 6 lessons in this course, plus thousands of other premium courses. One subscription, unlimited knowledge.

Learn more about subscription

What courses are similar to Sharp ideas, shipped fast?

  • AI Voice Agents with AWS thumbnailUpdated 1mo ago

    AI Voice Agents with AWS

    By: Zero To Mastery
    Study the creation of voice AI agents using AWS and Python. Develop an assistant with real functionalities and a deep understanding of the architecture.
    3h 1m5/5
  • AI for Beginners: Reasoning Models thumbnailNew

    AI for Beginners: Reasoning Models

    By: Zero To Mastery
    Study AI reasoning models from scratch. Learn how they work, are trained, and applied by exploring real-world behavior analysis and reasoning steps.
    4h 37m
  • Build a DeepSeek Model (From Scratch) thumbnailUpdated 1mo ago

    Build a DeepSeek Model (From Scratch)

    By: Rajat Dandekar, Naman Dwivedi, Dr. Sreedath Pana
    Learn how to build a DeepSeek model from scratch. A practical guide with a focus on engineering and algorithmic solutions for efficient model performance.
  • Building Loadout thumbnailNew

    Building Loadout

    By: Aaron Francis
    Take the course and create a desktop application called Loadout to manage AI tools using modern technologies such as Rust and React.
    11m
  • Vibe Code a Generative AI Finance App with Python and LangChain thumbnailUpdated 1mo ago

    Vibe Code a Generative AI Finance App with Python and LangChain

    By: Zero To Mastery
    Master the creation of AI applications for investments using Python and LangChain. Practice developing a fintech application and understanding financial metrics
    7h 36m5/5
  • Building Solo thumbnailNew

    Building Solo

    By: Aaron Francis
    Explore the creation of the SOLO application: manage development in one place. A unified interface for npm, composer, and servers, with support for multiple pro
    2h 3m

More courses by Aaron Francis

Frequently asked questions

What are the prerequisites for this course?
This course does not have specific prerequisites, but a basic understanding of macOS, command line interfaces, and software development concepts would be beneficial. Familiarity with tools such as Google AI Studio, Sentry, and Git will help you get the most out of the lessons.
What practical skills will I build in this course?
Students will learn how to speed up their workflow using AI, automate tasks with macOS tools and scripts, and improve debugging processes. The course also teaches how to prevent tech debt by maintaining clean code and how to effectively use tools like Google AI Studio and Google Stitch.
Who is the target audience for this course?
The course is ideal for professionals and developers who are looking to enhance their productivity through short, actionable skills. It's particularly useful for those interested in integrating AI into their workflow and who are seeking efficient debugging and automation techniques.
What is the scope and depth of this course compared to similar courses?
Unlike comprehensive courses that cover topics in extensive detail, this course focuses on delivering concise, practical videos that teach specific skills and workflows. It is designed for learners who prefer to acquire actionable skills quickly without engaging in lengthy lessons.
Which tools and platforms will be covered in this course?
The course covers various tools and platforms including Google AI Studio, Stitch, and Sentry. It also involves using macOS tools and command line interfaces to automate tasks and improve coding practices.
What topics are not covered in this course?
The course does not cover comprehensive programming languages or full-stack development. It focuses on enhancing existing workflows rather than teaching from scratch, so foundational programming concepts are not included.
How much time should I expect to commit to this course?
The course consists of seven focused videos, each designed to be short and practical. While the total runtime is not specified, each video is structured to deliver key insights that can be immediately applied, minimizing the time commitment required.