Tag: technology

Why learning systems thinking is essential in tech

Diana Montalion discusses how systems thinking helps align stakeholders and improve technical outcomes through better modeling and collaboration.

Choosing the right data architecture

Exploring Data Warehouse, Data Lake, Data Lakehouse, and Data Mesh architectures from a data engineer's perspective.

Insights on building MLOps systems

Reflections on Mehmet Burak Sayıcı's experiences building MLOps systems over four years

Actionable strategy: implementing an ML platform in an energy business

A practical guide to applying Will Larson's strategy framework for selecting and deploying a machine learning platform, addressing common organisational challenges.

Building a PDF to markdown converter with vibe-coding

How I built PDF and Markdown conversion tools using Claude Sonnet 4 and prompt engineering best practices

Avoiding and reducing technical debt

Exploring Chelsea Troy's insights on managing maintenance load in software projects.

Decision-making pitfalls for leaders from Chelsea Troy

Chelsea Troy's insights on common decision-making traps in technical leadership.

Python Developer Tooling Handbook

Comprehensive guide to Python development tools and best practices

Building a modern resume: from manual tweaks to AI-powered automation

Discover how I transitioned from tedious manual resume updates to an efficient, AI-assisted workflow using Reactive-Resume and a custom JSON-to-Markdown converter.

Inspiring Persons: Chip Huyen – A Structured Approach to Technology and (Career) Growth

An overview of Chip Huyen's work in machine learning systems design and her perspective on personal development, with connections to strategic thinking.

Twelve-factor agents: Building reliable LLM applications

A structured approach to creating production-ready LLM applications inspired by the classic 12 Factor Apps methodology

Building and deploying LLMs: A course made by practitioners

A comprehensive open course on LLMs taught by industry veterans, covering everything from fine-tuning to deployment architectures

Emerging developer patterns for the AI era

Overview of nine patterns for software development with AI agents from a16z.

Notes on The Startup CTO's Handbook by Zach Goldberg

Reflections on Zach Goldberg's handbook, valuable for startup CTOs and anyone in tech leadership or engineering.

DevOps for Data Science

A review of Alex K Gold's book 'DevOps for Data Science', offering a framework and guidance for data scientists and IT admins.

A Recommended Read: Architecture Patterns with Python

An in-depth guide to architectural patterns in Python, focusing on practical examples, TDD, and DDD.

Simon Willison on Building with LLMs (PyCon 2025)

A link to Simon Willison's PyCon 2025 tutorial materials on building applications with llms

Making AI Work: Leadership, Lab, and Crowd

Ethan Mollick discusses the organizational changes and challenges companies face when integrating AI, focusing on leadership, experimentation, and learning.

Yevgeniy Brikman on DevOps from an engineer's perspective.

Yevgeniy Brikman's view on DevOps as a broad set of processes, not just a role, and its practical implications for engineers, based on his book.

Inspiring Persons: Simon Willison

Exploring how Simon Willison's work and approach to technology and society inspired me to build my own website and continue coding.

Jager McConnell on Proprietary Data in the Age of Generative AI

Crunchbase CEO Jager McConnell on the enduring value of proprietary data in the age of AI.

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