- Published on
Exploring the expansion of Tool-Augmented Workflows (TAW) and how they are revolutionizing the way we build software.
$ ls /tags/ai
~/tags
#ai [16]
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- #development [9]
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- #communication [1]
- #prompting [1]
- #hallucinations [1]
- #grok [1]
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- #api [1]
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- #design-patterns [1]
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- #technical-debt [1]
- #code-quality [1]
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- #devops [1]
- #agentic-code [1]
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- #behavioral-finance [1]
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- Published on
How lean strategy principles can help navigate the path to revolutionary AI breakthroughs without getting lost in the pursuit of perfection.- Published on
Tesla's Full Self-Driving v12 completely replaced 300,000 lines of traditional code with end-to-end neural networks, demonstrating how AI models can serve as logic engines.- Published on
How I discovered that AI models can replace traditional application logic - and why it actually works better.- Published on
A practical exploration of how classic software design patterns come together to create a flexible, human-in-the-loop agent workflow that monitors websites and automates social media posts.- Published on
Explore how eliminating conditional statements can lead to cleaner, more maintainable code through polymorphism, functional programming, and data-driven approaches.- Published on
Research suggests microservices may be more suitable than monorepos for AI coding tools, especially with large projects, due to LLM context window limitations.- Published on
Exploring why core software engineering principles like design, testing, and maintainability are becoming even more critical for managing complexity and risk in the age of AI-powered code generation.- Published on
Learn how to craft effective AI prompts that reduce hallucinations and deliver accurate results from platforms like Grok, with practical tips on context management and prompt engineering.- Published on
Research suggests microservices may be more suitable than monorepos for AI coding tools, especially with large projects, due to LLM context window limitations.- Published on
A humorous and accessible introduction to how neural networks remember information, explained through the lens of a fictional breakup between LSTM and BERT.- Published on
Explore the four non-negotiable principles that enable shipping 10,000 lines of code daily: rapid deployment, intense observability, rigorous testing, and living documentation.- Published on
Examining the revolutionary impact of AI tool calling capabilities on modern software development practices.- Published on
Understanding how to develop and prompt your models is the challenge. Where do you start? The old process was to create a flow, but with models it's a bit different, it's about goals and guardrails.- Published on
Explore why open source software is becoming the superior choice for enterprises in the AI era, offering advantages in documentation, development speed, and community collaboration that proprietary systems cannot match.- Published on
Discover how interacting with AI enhances our cognitive abilities, focusing on the art of developing questions and the emerging role of Prompt Engineers in shaping AI conversations.