LEAP into the Gilded Rose Kata
Explore how AI tools like Cursor can revolutionize your software development workflow through the Gilded Rose Kata. From filling knowledge gaps and understanding complex codebases to refactoring, TDD++, and generating documentation, see how AI enhances productivity and code quality. Discover actionable insights to integrate AI into your projects for robust and efficient development.
Flying Fast and Furious: AI-Powered FastAPI Deployments
Leverage AI tools to deploy a FastAPI app on Fly.io using GitHub Actions. Start with a template, create endpoints in `api.py`, and set up Uvicorn in `server.py`. Containerize with Docker, write tests using pytest, and automate with GitHub Actions. Use AI tools like Knowledge Bot and Cursor.sh for code suggestions and automation. Implement CI/CD for reliable deployments.
AI and the Modern Developer
Discover how AI tools can revolutionize your software development workflow. Learn practical use cases for AI to enhance code quality, automate repetitive tasks, and generate comprehensive documentation. Embrace AI to streamline your development process, tackle complex challenges, and improve productivity. Dive into examples with tools like GitHub Copilot, ChatGPT, Claude, and Otter.ai. See how AI can transform your daily tasks and long-term projects, making your development smarter, faster, and more efficient. Unlock the potential of AI in your coding practices and stay ahead in the ever-evolving tech landscape.
Taming the Unpredictable - How Continuous Alignment Testing Keeps LLMs in Check
Ensure the reliability and consistency of your LLM-based systems with Continuous Alignment Testing. Utilize Repeat Tests, seed values, and the choices feature in OpenAI Chat Completions to manage the inherent unpredictability of AI responses. Define precise inputs and expected outcomes early in the development process, similar to Test Driven Development (TDD). Automate your testing with CI tools like GitHub Actions to catch fluctuations quickly and efficiently. Incorporate seed values for reproducibility and request multiple responses per query with the choices feature to validate prompts, tool calls, and data variations more effectively and cost-efficiently. Apply these methodologies in real-world scenarios, as demonstrated by our Amazon Treasure Chat project, to maintain high-performance standards and enhance user satisfaction. Stay ahead of technological advancements and refine your testing strategies to ensure your AI applications are robust, scalable, and reliable. Embrace these testing techniques to deliver superior AI solutions that instill confidence and trust in your users.
Intelligent Engineering with AI
Unlock the potential of AI in your software development workflow with LeanDog's "Intelligent Engineering with AI" course. Master integrating AI tools like GitHub Copilot and ChatGPT to enhance productivity and code quality. Dive into Test-Driven Development (TDD), applying AI to write reliable, maintainable code. Embrace Software Craftsmanship by learning fundamental design principles, addressing code smells, and employing practical refactoring techniques—experience real-world applications through hands-on exercises, including advanced prompt engineering and a task management API project. Gain valuable insights and build confidence in using AI to streamline your development processes, ensuring your skills are future-ready and your code is top-notch. Join us and transform your approach to coding with the power of intelligent engineering.
AI as Your Strategic Partner in Extreme Programming
AI-XP combines AI with Extreme Programming to transform software development. ChatGPT, as an AI pair programmer, enhances strategic planning, technology stack analysis, and architectural design. This integration boosts efficiency, innovation, and accuracy, offering tailored recommendations and ensuring optimal project outcomes. Future AI tools promise even more intuitive and contextually relevant support.
AI-XP Unpacked: Integrating AI with Extreme Programming for Enhanced Agility
Artificially Intelligent eXtreme Programming (AI-XP) enhances the principles of Extreme Programming (XP) with AI capabilities, creating a responsive and efficient development cycle. AI-XP comprises three interlocking loops: VISION (strategic planning using AI analytics), ADAPT (agile iteration planning with real-time data), and LEAP (tactical execution with AI-powered coding and testing). This framework leverages AI to optimize workflows, improve code quality, and adapt to changing requirements, ensuring that development teams stay ahead in a fast-paced industry.
The Dawn of a New Era in Software Development
As a software engineer, I've leveraged AI tools like GitHub Copilot and Cursor in agile workflows and projects like natural language product searches using Retrieval-Augmented Generation (RAG). Inspired by Llewellyn Falco's insights on iterative prompting, I emphasize Python's role in AI programming. My work highlights AI's transformative impact, integrating AI ethically and strategically to enhance software development.
Enhancing Software Development with Generative AI: Beyond the Hype
Explore the transformative role of generative AI in software development. Discover how AI-driven tools like GitHub Copilot, Cursor, and ChatGPT-4 redefine coding practices by automating tasks, enhancing code quality, and fostering collaboration. Understand the potential and limitations of these technologies and reflect on the ethical considerations they bring to the forefront. Embrace the future of software development—where AI supports and inspires innovation and ensures it is used responsibly and ethically. Equip yourself to be part of this evolution and shape a new era of technological advancement.
Code Smarter, Not Harder: Unleashing AI in Agile Development
Software development teams must evolve to keep up with technological advancements. AI tools like GitHub Copilot and ChatGPT transform agile development by enhancing efficiency, precision, and innovation. These tools automate coding tasks, generate test cases, and provide real-time coding assistance, speeding up development and improving quality. AI-driven insights also aid in strategic planning and deployment, making the process faster, more innovative, and cost-effective. Integrating AI tools is key to staying competitive and driving software development into the future.
Navigating the New Frontier: AI-Powered Software Development
Explore Henrik Kniberg's insights from Jfokus Developers Conference 2024 on AI's transformative impact on software development. Learn how AI enhances productivity, necessitates new skills, and reshapes careers. Understand the shift from coding to supervising AI and the importance of strategic interaction with AI tools. Stay ahead by adapting swiftly to the evolving role of AI in software development.
Creating My First PyPI Package
I uploaded my first Python package, **tay_say**, to PyPI. It outputs a random Taylor Swift lyric to the console. PyPI is the default repository for pip. I created PyPI accounts, set up the project layout, constructed `setup.py`, and added a console entry point. Following Peter Downs' tutorial, I published **tay_say**. Now, anyone can install it with `pip install tay_say` and run it using `tay_say`.
Blameless Post Mortem Meeting Template
Production incidents are the worst kind of lean IT waste. To prevent them, we use Blameless Post Mortems. These meetings dissect events, identify actionable steps, and ensure no blame is placed on individuals. The goal is to automate repetitive tasks and foster a culture of open communication to avoid future incidents. This approach stops the cycle of blame and ensures continuous improvement and learning.
def of_ready(*args, **kwargs)
The Definition of Ready (DoR) ensures agile stories meet criteria before entering the value stream. It helps prevent waste and inefficiencies, ensuring stories are valuable, testable, and understood by the team. DoR includes value, clear acceptance criteria, known dependencies, and consideration of testing and non-functional requirements. It streamlines processes and reduces bottlenecks.
The Hello World Kata
"The Hello World Kata" explores Test Driven Development (TDD) through Python, emphasizing its simplicity yet foundational importance. It guides users through implementing a basic 'hello world' program using TDD principles, including unit testing and mocking. The article challenges traditional coding practices by advocating for TDD's iterative approach, enhancing understanding and mastery over time.
We Call it ‘Saw Time’
"Saw Time" at Dev3loper.ai empowers professionals with dedicated learning hours during business days. Like initiatives at tech giants, it prioritizes individual growth over routine tasks. Backed by top-down support, it fosters a culture of continuous learning and craftsmanship. This approach enhances team agility and innovation, ensuring sustained product excellence and professional development.
A Cultural Target State: Netflix
I recommend the Netflix Culture Slides for insights into organizational culture. At OnShift, we value our engineering culture. Inspired by leaders like Spotify and Netflix, we aim to scale with good fundamentals and common sense. Key themes include values, high performance, freedom & responsibility, context over control, alignment, top market pay, and promotions.
The Reason For the Teardrops on My Twitter Bot
Combine Taylor Swift lyrics with a Markov Chain generator and a Heroku Scheduler Python task to create a Twitter bot posting hourly random lyrics. Set up involves creating GitHub, Twitter, and Heroku accounts, and a Python environment. Use Tweepy for Twitter integration and deploy on Heroku, setting environment variables and scaling. Add Heroku Scheduler for automated tweets. Future steps: refine the Markov algorithm, add trending hashtags, and mix lyrics with other bands for fun variations.
Posting to Facebook using Python
In exploring Facebook's Graph API for posting messages, I discovered it only allows posts to a user's own wall, preventing spam. I found helpful guides and created a GitHub project to post to a page. Using the right access token and page ID, I successfully posted messages. To make it fun, I used a sentence generator with content from Anchorman and Romeo and Juliet. Next, I'll find a better sentence generator for content.
PyOhio Presentation 2016 - How To Create Your First PyPI Package
I spoke at PyOhio on July 31st, 2016, about uploading packages to Python's package distribution system, PyPI. PyPI is the default repository for Python's packaging system, making it easy to distribute and install programs and libraries. Understanding PyPI is essential due to the vast number of third-party packages. My presentation included references and practical steps for creating and distributing Python packages.
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