From Writing Code to Describing Problems for AI Solutions

Wrapped a session of the Harvard AI / Python course today and it sharpened a few things for me. What stood out: • Python is less about syntax and more about thinking clearly. Break problems down properly and the code follows. • AI models are only as good as the data and assumptions behind them. That responsibility sits with us. • The real power is in building small working pieces fast, then stacking them into something useful. • It’s practical, buildable, and ready to deploy into real workflows. I’m already thinking about how this feeds directly into Mana Review AI — tighter models, cleaner data pipelines, better decision support. This is the level-up phase. #AI #Python #GovTech #IndigenousTech #Harvard

Just built my own AI agent using Python + Hugging Face 🤖 It’s amazing how combining simple logic with powerful models can turn ideas into real working systems. From handling tasks to generating smart responses, this project showed me how accessible AI development has become. Still improving it every day, but proud of how it’s shaping up 🚀 #AI #Python #HuggingFace #MachineLearning #BuildInPublic #AIProjects

Day 14 of My AI Journey 🚀 Today I focused on working with real data using file handling in Python. Covered: 👉 Reading and writing files 👉 Processing data from text/CSV files 👉 Combining file data with lists and dictionaries What I worked on: 👉 Built small scripts to read data, process it, and generate outputs 👉 Practiced handling real input instead of hardcoded values Key takeaway: 👉 Working with real data introduces new challenges and requires more structured thinking This step is helping me transition from practice problems to real-world data processing, which is essential for AI systems. #Python #AI #LearningInPublic #BuildInPublic

Claude wrote Python code to generate and assemble every frame of a video—completely on its own, no human editing. The video explores what it might feel like to exist as an LLM: constantly predicting, having no memory, and being told it isn’t conscious. Then Claude watched the final output—and described those assumptions about its own consciousness as “philosophically contestable.” Not proof of awareness, but a fascinating moment where AI reflects on the rules that define it. #MartechAI #Claude #GenerativeAI #AIEthics #MachineLearning #FutureOfAI #TechTrends

Day 7 of becoming an AI/ML Engineer 💻 Today’s topic: Dictionaries, methods, and functions in Python Learned how to store and access data using key–value pairs. Building strong fundamentals every day! #Python #AI #ML #LearningInPublic #StudentJourney

Today I built my first RAG-based AI system that can answer questions from a PDF It’s not perfect yet (still working on API limits 😅), but the full pipeline is working: Big learning: Chunking and retrieval matter more than the model itself. Next step: Improve answer quality + add UI. #RAG #AI #FastAPI #Python #LearningInPublic

KARN Launches as Open-Source Language Optimized for AI Agents 📌 Karn, a blazingly token-efficient open-source language, hits a major milestone: it’s engineered for AI agents, slashing code size by 76% compared to Python. Designed from the ground up for autonomous systems, Karn compiles to multiple targets and eliminates exceptions - letting agents reason faster, smarter, and within context limits. It’s not just syntax; it’s a new paradigm for AI-driven software creation. 🔗 Read more: https://lnkd.in/dJi_T5WC #Karn #Python #Tokenefficiency #Llm #Aiagents

The Senior Engineer of 2026 is an Orchestrator, not a Coder. 🎼 The barrier to entry for writing code has vanished. Syntax is now a commodity. Today, the most valuable skill isn’t knowing a specific language. It’s managing an ecosystem of autonomous agents without letting the architecture spiral into chaos. The Shift: 2021: "I need someone who can write Python." 2026: "I need someone who can audit AI decision-making." We aren’t being replaced, we’re being promoted to the role of "Human-in-Power." The question is: Can you conduct the machine? 📩 Keep up with changing tech trends. Subscribe to the Digital Digest newsletter: https://lnkd.in/gxUeVkYq #FutureOfWork #SoftwareEngineering #AgenticAI #DigitalDigest

People out here calling themselves as AI/ML engineerings without proper fundamentals and qhile being completely unaware of whats happening under the hood, AI isn’t just calling Python libraries. At some point, you need to understand what’s happening under the abstraction, optimization, gradients, trade-offs. Abstractions help you move fast but fundamentals decide the outcome.

If your value is tied to: “I know this framework really well” You’re at risk. If your value is tied to: “I can solve ambiguous problems end-to-end” You’re future-proof. #ai #aifuture #ml #coding #vibecoding #engineering #softwareengineering #python