This was just too funny to save for next Saturday’s picdump. I don’t think Jira’s as bad as everyone makes it out to be, but I still laughed out loud when I saw this.
Categories
The perfect Jira ad
Category: Programming
Let me introduce you to a shorthand term that I think will be useful soon: a12y, which is short for automatability, which is the ability to be automated.
(The term a12y indicates that the first letter is a, the final letter is y, and there are 12 letters between them. There’s a similar, better-known. shorthand term, a11y, which is short for accessibility.)
Automation is nothing new. It’s one of the reasons we use technology — from mechanical devices to computers to software and online services — to perform tasks with to reduce the work we have to do, or even eliminate the work entirely.
In the Python courses I’ve taught a few times at Computer Coach, I’ve covered how you can use Python to automate simple day-to-day work tasks and provided examples from one of the course’s core textbooks, Automate the Boring Stuff with Python (the entire book is available to read online for free!).
I’ve also created a number of Python automations that I use regularly. You’ve even seen some of their output if you’re a regular reader of this blog, since the weekly list of Tampa Bay tech, entrepreneur, and nerd events is generated by my automation that scrapes Meetup pages.
MCP is the latest buzzword in both AI and automation, or a12y with AI. Short for Model Context Protocol (and not Master Control Program in the Tron movies), MCP is a standardized way for AI models to go beyond simply generating answers and interact with external tools and data sources, such as APIs, databases, file systems, or anything else that’s connected to the internet and can accept commands to perform actions.
Simply put, it’s the next step in the path to creating AI agents that can perform tasks autonomously.
(Come to think of it, a10y might be a good shorthand for autonomously.)
We’ll cover all sorts of a12y topics in the upcoming Tampa Bay Python meetups! I’m currently working on the details of booking meetup space and getting some food and drink sponsors, but they’ll be happening soon. Watch this blog, the Tampa Bay Python Meetup page, and my LinkedIn for announcements!
On Thursday, May 8th from 11 a.m. to 3:00 p.m. Eastern, O’Reilly Media will host a free online conference called AI Codecon. “Join us to explore the future of AI-enabled development,” the tagline reads, and their description of the event starts with their belief that AI’s advance does NOT mean the end of programming as a career, but a transition.
Here’s what I plan to do with this event:
- Register for the event
- Log in when it starts and fire up a screen recorder
- Watch the event in the background while working
- Generate a transcript from the recording and feed it into a couple of LLM
- Have the LLMs answer any questions I may have and generate summaries and “going forward” game plans based on the content and my future plans
The agenda for AI Codecon
Here’s the schedule for AI Codecon, which is still being finalized as I write this:
- Introduction, with Tim O’Reilly (10 minutes)
- Gergely “Pragmatic Engineer” Orosz and Addy Osmani Fireside Chat (20 minutes)
Addy Osmani for an insightful discussion on the evolving role of AI in software engineering and how it’s paving the way for a new era of agentic, “AI-first” development.
- Vibe Coding: More Experiments, More Care – Kent Beck (15 minutes)
Augmented coding deprecates formerly leveraged skills such as language expertise, and amplifies vision, strategy, task breakdown, and feedback loops. Kent Beck, creator of Extreme Programming, tells you what he’s doing and the principles guiding his choices.
- Junior Developers and Generative AI – Camille Fournier, Avi Flombaum, and Maxi Ferreira (15 minutes)
Is bypassing junior engineers a recipe for short-term gain but long-term instability? Or is it a necessary evolution in a high-efficiency world? Hear three experts discuss the trade-offs in team composition, mentorship, and organizational health in an AI-augmented industry.
- My LLM Codegen Workflow at the Moment – Harper Reed (15 minutes)
Technologist Harper Reed takes you through his LLM-based code generation workflow and shows how to integrate various tools like Claude and Aider, gaining insights into optimizing LLMs for real-world development scenarios, leading to faster and more reliable code production. - Jay Parikh and Gergely Orosz Fireside Chat (15 minutes)
Jay Parikh, executive vice president at Microsoft, and Gergely Orosz, author of The Pragmatic Engineer, discuss AI’s role as the “third runtime,” the lessons from past technological shifts, and why software development isn’t disappearing—it’s evolving. - The Role of Developer Skills in Today’s AI-Assisted World – Birgitta Böckeler (15 minutes)
Birgitta Böckeler, global lead for AI-assisted software delivery at Thoughtworks, highlights instances where human intervention remains essential, based on firsthand experiences. These examples can inform how far we are from “hands-free” AI-generated software and the skills that remain essential, even with AI in the copilot seat. - Modern Day Mashups: How AI Agents Are Reviving the Programmable Web – Angie Jones (5 minutes)
Angie Jones, global vice president of developer relations at Block, explores how AI agents are bringing fun and creativity back to software development and giving new life to the “programmable web.” - Tipping AI Code Generation on its Side – Craig McLuckie (5 minutes)
The current wave of AI code generation tools are closed, vertically integrated solutions. The next wave will be open, horizontally aligned systems. Craig McLuckie explores this transformation, why it needs to happen, and how it will be led by the community. - Prompt Engineering as a Core Dev Skill: Techniques for Getting High-Quality Code from LLMs – Patty O’Callaghan (5 minutes)
Patty O’Callaghan highlights practical techniques to help teams generate high-quality code with AI tools, including an “architecture-first” prompting method that ensures AI-generated code aligns with existing systems, contextual scaffolding techniques to help LLMs work with complex codebases, and the use of task-specific prompts for coding, debugging, and refactoring. - Chip Huyen and swyx Fireside Chat (20 minutes)
Chip Huyen will delve [Aha! An AI wrote this! — Joey] into the practical challenges and emerging best practices for building real-world AI applications, with a focus on how foundation models are enabling a new era of autonomous agents.
- Bridging the AI Learning Gap: Teaching Developers to Think with AI – Andrew Stellman (15 minutes)
Andrew Stellman, software developer and author of Head First C#, shares lessons from Sens-AI, a learning path built specifically for early-career developers, and offers insights into the gap between junior and senior engineers. - Lessons Learned Vibe Coding and Vibe Debugging a Chrome Extension with Windsurf – Iyanuoluwa Ajao (5 minutes)
Software and AI engineer Iyanuoluwa Ajao explores the quirks of extension development and how to vibe code one from scratch. You’ll learn how chrome extensions work under the hood, how to vibe code an extension by thinking in flows and files, and how to vibe debug using dependency mapping and other techniques. - Designing Intelligent AI for Autonomous Action – Nikola Balic (5 minutes)
Nikola Balic, head of growth at VC-funded startup Daytona, will show through case studies like AI-powered code generation and autonomous coding, you’ll learn key patterns for balancing speed, safety, and strategic decision-making—and gain a road map for catapulting legacy systems into agent-driven platforms. - Secure the AI: Protect the Electric Sheep – Brett Smith (5 minutes)
Distinguished software architect, engineer, and developer Brett Smith discusses AI security risks to the software supply chain, covering attack vectors, how they relate to the OWASP Top 10 for LLMs, and how they tie into scenarios in CI/CD pipelines. You’ll learn techniques for closing the attack vectors and protecting your pipelines, software, and customers. - How Does GenAI Affect Developer Productivity? – Chelsea Troy (15 minutes)
The advent of consumer-facing generative models in 2021 catalyzed a massive experiment in production on our technical landscape. A few years in, we’re starting to see published research on the results of that experiment. Join Chelsea Troy, leader of Mozilla’s MLOps team, for a tour through the current findings and a few summative thoughts about the future. - Eval Engineering: The End of Machine Learning Engineering as We Know It – Lili Jiang (15 minutes)
Lili Jiang, former Waymo evaluation leader, reveals how LLMs are transforming ML engineering. Discover why evaluation is becoming the new frontier of ML expertise, how eval metrics are evolving into sophisticated algorithms, and why measuring deltas instead of absolute performance creates powerful development flywheels. - Closing Remarks – Tim O’Reilly (10 minutes)
Thank you, Joe Blankenship, for all you do!
In case you missed organizer Joe Blankenship’s announcement, he’s become quite busy with his new venture, A Valid Company, and won’t have the bandwidth to run Tampa Bay Python.
As not only the organizer behind Tampa Bay Python, but also the Chief Data Officer of Certus Core and one of the people behind the Data4 conference, he’s a tech powerhouse, and we should expect to see great things from A Valid Company! I’d like to thank Joe for all the work he’s done for the local Python and tech communities.
And now, the new organizer…
…that would be me.
In case you’re not aware, I’ve been programming in Python since 1999. I had to learn it while on vacation the week before a Python programming job, and said vacation was at Burning Man ’99.
My favorite way to describe Burning Man is like a circus-meets-rave in the desert, and it’s up to you to provide the entertainment. The motto at the time was “There are no spectators; only participants.”
It turns out that most of the partying happens at night, and mornings at Burning Man are relatively mellow. The mornings were when I learned Python, armed with my trusty Toshiba Satellite 4015CDT (Pentium II running at 266 MHz; I’d boosted the RAM to 96 MB) and a paperback copy of Mark Lutz’s book, Learning Python (first edition, of course). I fell in love with the language — after all, any language that you can learn amidst the chaos of Burning Man has to be a good one!
Since then, I’ve been using Python for all sorts of things, including generating the weekly tech events list that appears on this blog every Friday. I’m honored to be the new organizer for Tampa Bay Python!
I’m already working on ideas for upcoming Tampa Bay Python meetups, but if you have suggestions for topics that Tampa Bay Python should cover, I’d love to hear them — just drop me a line at joey@joeydevilla.com or via any of my social media accounts.
PyLadies is an international mentorship group whose goal is to encourage more women to become active participants and leaders in Python’s open-source community. There are PyLadies chapters all over the world, including one right here in Tampa Bay: TampaBay PyLadies.
The problem is that the TampaBay PyLadies Meetup group doesn’t have an organizer, and if one doesn’t step up, Meetup will automatically close that group.
We need a PyLadies group here. Python is expected to be a high-demand programming language for some time (it’s still at the top of the TIOBE Index), and let’s face it: programming is a sausage party. We guys are pretty good at things, but we need the knowledge, wisdom, and perspective that women provide.
If you’re a woman in the Tampa Bay area and would like to help keep TampaBay PyLadies up and running, please consider becoming an organizer for TampaBay PyLadies Meetup. You don’t need to be an expert at Python; all you need is to be interested in Python and have enough organizational know-how to run a Meetup (it’s relatively straightforward) and the time to do so. And if you need help, we in the Tampa Bay Python community — myself included — will gladly provide it.
Want to step up and become TampaBay PyLadies’ organizer? You can do so on the TampaBay PyLadies page!
I’ve just been informed that I’ll be one of the speakers at the 2025 edition of KCDC — Kansas City Developer Conference — which takes place August 13 through 15!
What is KCDC?
This will be the 16th KCDC, and it’ll take place at the Kansas City Convention Center in downtown Kansas City, Missouri.
KCDC draws 2000+ attendees each year and features tracks for the following topics:
- Architecture
- AI and Data Science
- Cloud
- Data
- DevOps
- Human Skills
- Java
- JavaScript
- Methodologies and Process Management
- .NET
- Other Technologies
- Security
- Testing and QA
- UI/UX and Design
My talk
My talk, titled The Best, Most Fun Python Platform You’ve Never Heard Of, is a programmer’s introduction to the powerful, fun, and all-too-often-ignored Ren’Py. While Ren’Py is called a “visual novel engine,” I prefer to think of it as the fastest, most fun way to create Python applications.
Here’s the description for my talk:
Python’s occupied the number one spot on the TIOBE Programming Community Index for the past couple of years, and it’s the preferred programming language in for AI and data science. Perhaps you’ve been thinking about learning it, but the thought of having to do another set of “Hello World” style exercises is filling you with dread. Is there a more fun way to get up to speed with Python?
Yes, there is, and it’s called Ren’Py. It’s billed as a visual novel engine and often used for writing dating simulation games, but it’s so much more than that. It’s a platform that lets you code in Python (and more) and deploy to desktop, web, and even mobile platforms, and with a fraction of the effort required by React, Vue, or Angular. It’s a fun framework that’s been used to produce games you can find on Steam, but it’s got applications well beyond amusement.
In this session, we’ll look not just at the basics of Ren’Py development, but the building of a dating game based on KFC’s official game, “I Love You Colonel Sanders,” a simple turn-based combat game starring Florida Man, and building mobile apps in a way that’s less frustrating than usual.
Chris Ayers is speaking too!
Better still, I won’t be the only Tampa Bay geek speaking — Chris Ayers will be there too, and he’ll be delivering his talk, The Power of Dev Containers and GitHub Codespaces:
Dive into the future of software development with our session on Dev Containers and GitHub Codespaces. Dev Containers bring reproducibility and consistency across any platform with Docker, simplifying project onboarding and setup. GitHub Codespaces takes this a step further, offering scalable, cloud-hosted development environments, accessible from anywhere.
In this session, you’ll gain insights into:
- Dev Containers Fundamentals: Understand their role in creating consistent development environments.
- GitHub Codespaces Integration: Explore how Codespaces enhances Dev Containers, providing flexible, cloud-based development.
- Practical Implementation: Learn to configure Dev Containers for your projects, including tool installation, VS Code extensions, port forwarding, and software setup.
- Maximizing Codespaces: Discover how to customize Codespaces for remote development efficiency.
François Martin will be there!
If you were at the March Tampa Bay Java User Group meetup, you saw François Martin deliver a presentation with a not-at-all-controversial title: Why Software Testing is a Waste of Time.
Anitra and I had the pleasure of taking him around Tampa while he was in town, and I even lucked out by being able to catch up with him for dinner while we were in Greece earlier this month!
He’ll deliver two talks at KCDC:
- 82 Bugs I Collected in a Year You Won’t Believe Made It to Production
- How writing just one import the wrong way slows down your website
…and yes, I’m bringing the accordion.
