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Developer vs. Engineer in Software and AI: What’s the Difference?
The terms “developer” and “engineer” are often used interchangeably in tech, but there are meaningful differences in how they approach problems, especially in software and AI. At a high level: Doesn`t matter the title. We are still the part of the same team. In AI, this distinction becomes even more interesting, because AI systems are inherently probabilistic and data-driven, unlike traditional deterministic software. Developer vs. Engineer: Core Mindset Developer Mindset In AI, an AI developer might: Engineer Mindset In AI, an AI engineer might: As one analysis puts it: “Software engineers build deterministic systems with predictable outputs, while AI engineers build systems that are probabilistic and require managing uncertainty.” Key…
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What is heuristics ? Key Definitions and 10 biased examples people use without any data
What is heuristics ? Fancy word people tend to use but i found not all of them know what is it. Heuristics are simple, practical mental shortcuts that help us to make decisions, solve problems and form judgments. Often without any data or with limited information, little analysis, lack of formal reasoning. Think about a stereoptype. Steoretypes are heruistics. Stereotype -> heuristic i.ex big glasses -> good at math. They’re not guaranteed to be correct or optimal, but they’re fast and usually “good enough” for everyday use. As a species we tent to simplify so we can use as little energy as possible. Double edged sword if You ask me.…
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First principles methodology in AI by Aristotle – 5 step framework
First principles methodology is the practice of breaking a problem down to its most fundamental truths. What we know to be the absolute truth(s). Then we try reasoning upward to build new solutions with what we know to be the fundament. Instead of copying what’s been done before ( haha, said no developer ever). This methodology goes back to Aristotle, the ancient Greek philosopher who first articulated the idea of reasoning from “first principles.” What Is a First Principle? A first principle is a basic, foundational truth that cannot be deduced from anything else. It’s the bedrock of a problem: In AI, first principles might be: Anything else like framework…
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How to de clutter You code ( and life)
How to de clutter You code ? Remember the quote “It`s not You , it is me?”. Start with an uncomfortable truth. It is Your mess created by you. Every developer knows this moment. You open a file and wonder who wrote it. Then Git blames shows the true colors. The problem is not just messy code. The problem is how easily clutter sneaks in, in life, in general, everywhere. Why code (and Life) gets cluttered Code rarely becomes chaotic overnight. It grows like a blob ( remember GhostBusters ? ), one “quick fix,” one “temporary solution,” one “I might need this later” at a time. Life follows the same…
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Human in the loop (HITL)- best practices for agentic worklows
Human in the loop gives the best of both worlds. Best practice in agentic workflow is testing, verification,quality assurance. You name it. Workflow agents are automatons and can significantly enhance productivity, but their true potential is unlocked when combined with a human-in-the-loop (HITL) approach. This ensures that the agent’s actions are verified and refined by human expertise, leading to better outcomes. In addition it provides a feedback loop for learning and enchancing workflow processes. Why Use Workflow Agents with Human-in-the-Loop? Enhanced accuracy Agents may (or may not 🙂 ) on occasiona misinterpret instructions or context and provider infered data that is not what we wanted it to. Human verification ensures…
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Why bother with Vue composables – 6 reasons to do
Why bother with Vue composables ? So it will make our lifes easier, more straightforward coding and simplified testing to say the least. Composables in Vue.js are functions that encapsulate business logic and allow it to be reused across different components. Your regular dependency inversion, composition or what ever You want to call it. Designed to make it all simple and pleasurable. Why Use Composables? Reusability Composables encapsulate logic that can be reused in multiple components. One ring to rule them all. One place to change them and in a component bind them. Something like pinia store. For example, if geospatial filtering logic is needed in more than one place,…
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Kaizen in ai agent plan writing
Kaizen — continuous incremental improvement — is the most underrated mental model for building with AI. Not a big-bang plan. Here's how to apply Plan-Do-Check-Act to LLM workflows.
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MarkItDown: convert 20+ file types to markdown for AI & LLM Ingestion
MarkItDown can convert different file types into AI / LLmeme friendly markdowns. Tool by Microsoft (microslop? to be less sloppy ? 😉 ). Library provides multiple converters for various files like PDFs, Word docs, spreadsheets, presentations and so on into a clean Markdown format. Aim is to make messy documents readable and structured so the input provided will be of higher quality. MarkItDown is a LLM powered library Traditional converters often fail on complex or scanned documents due to rigid rules and have problems handling edge cases that, simply, weren`t taken into consideration. MarkItDown uses machine learning for semantic parsing (hallucinations ? ) therefore achieving higher accuracy (that is of…
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Dealing with github copilot errors
Dealing with github copilot errors is pretty irritating. Especially when dosing some more complex stuff and suddenly “Bam”. Red message. Easiest thing to do ? Switching the model family often works because some models have different capacity pools or stricter preview limits. GitHub documents vaguely that if you are rate limited, you can wait and try again. Just type “continue” and keep your fingers crossed. Otherwise check usage patterns, change the model, or contact support. Common github copilot errors Some run of the mill You probably know already, just put them together as a ‘review’ : Why changing the model helps ? Changing from one model family (vendor) to another…
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Markmap vs Mermaid for Spec-Driven Development (SDD)
Markmap vs Mermaid for Spec-Driven Development You will consider sooner or later. When You have to go “full on AI” documentation stops being a nice-to-have and becomes a must be part of the product. We need to convey a lot of information, with hopefully as little text as possible so we can easily read it and digest the information. Two popular options for Markdown documentation features are Markmap and Mermaid. They solve different problems, and the best choice depends on whether you want fast idea mapping or more structured diagrams for flows. When to use Markmap Markmap turns Markdown headings and bullet points into an interactive mind map. Useful for…
