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Beyond Vibe Coding: Professional Prompting and Context Engineering for AI Development
Moving from one-shot 'vibe coding' to intentional context engineering requires treating prompts as technical specs and managing AI context windows like precious resources.
15.01.2026
The Mechanics of Enshittification: Why Metrics-Driven Development Fails Users
Kent Beck explains how individual metric optimization creates products that slowly turn hostile to users—one 'engagement optimization' at a time.
15.01.2026
Finding Yourself in the AI Era: From Solving Puzzles to Solving Problems
The engineers thriving with AI focus on making ideas real, not on the intellectual challenge of coding itself. Reframe your identity broadly enough that AI becomes a tool, not an existential threat.
14.01.2026
AI Skeptics, Generalists, and the Precision-Accuracy Paradox in Software Teams
Exploring why critical thinking beats blind faith in AI adoption, the difference between building things right and building the right things, and what truly makes a generalist valuable.
13.01.2026
Three Centuries of the Future on Margin: How Credit Cycles Drive Technology Bubbles
From electrification to radio to dot-com, every technology boom follows the same pattern: a legible future meets cheap credit, and markets compress decades of progress into years of price action.
13.01.2026
Career Sabbaticals, Identity Crisis, and AI-Powered Self-Discovery
Former Nubank engineering director Thiago Ghisi shares insights on sabbaticals, navigating identity without job titles, and using Claude Code as a second brain.
09.01.2026
Leadership, Craft, and the Art of Jamming Together: Rethinking How Design and Engineering Teams Actually Work
Five perspectives on why staying close to reality matters more than following best practices. Design leaders should jam with their teams, engineers need authority over their own systems, and micromanagement fears often mask deeper trust issues.
07.01.2026
When AI Writes Almost All Code: The Inflection Point and What We Lose
We have crossed a threshold where AI generates ~90% of code. But what happens to engineering skill, team structure, and the craft itself when humans stop writing?
06.01.2026
Weekly Reviews, AI Adoption Stages, and the Create vs Review Mode Trap
How weekly note reviews boost productivity, a three-stage model for AI adoption in engineering teams, and the cognitive trap of AI-generated first drafts
29.12.2025
The Pragmatic Engineer: 2025 Year in Review
A look back at the key software engineering trends of 2025, including the dominance of AI, a strange job market, the push for return-to-office, and the most popular articles and podcast episodes from The Pragmatic Engineer.
23.12.2025
The Ultimate AI Agents Roadmap: A Free 9-Lesson Course on Fundamentals
A comprehensive, free 9-lesson course covering the essential concepts of building AI agents, from workflows and context engineering to memory and multimodal agents.
16.12.2025
AI's Evolution from Assistants to Autonomous Engineers
Exploring the shift from AI code assistants to autonomous AI software engineers, and the impact on enterprise software development.
13.12.2025
The Bet On Juniors Just Got Better
AI coding assistants are changing the calculus for hiring junior developers, making them a more valuable investment than ever before.
12.12.2025
Is AI Eating Code? Anthropic's Supremacy and the Future of Software Development
Exploring AI's impact on coding, Anthropic's dominance, and how tools like Cursor are transforming software development in 2025.
10.12.2025
Lessons Learned from 25 Years in Tech: A Journey of Growth and Career Insights
Exploring Umberto Nicoletti's 25-year career journey in tech, sharing valuable lessons, career insights, and the importance of finding one's ikigai.
10.12.2025
AI Adoption in Engineering Teams: Research Insights from 400+ Teams
Deep dive into how engineering teams are actually adopting AI tools, revealing the gap between personal and team adoption.
05.12.2025
The State of AI Adoption in Engineering Teams
An analysis of AI adoption in engineering teams, covering personal vs. team use, documentation as a secret weapon, managing AI context in codebases, and the evolving UX of AI coding tools.
05.12.2025
A Pragmatic Guide to LLM Evals for Developers
An expert-led guide on moving beyond 'vibe-check development' to a systematic, data-driven approach for evaluating and improving LLM applications.
02.12.2025
Building Product Development Teams with Rob Zuber from CircleCI
CircleCI CTO Rob Zuber discusses building effective product engineering teams, the standardization vs flexibility tradeoff, and lessons learned from scaling software organizations.
28.11.2025
The AI Productivity Paradox: When Feeling Productive Doesn't Mean Being Productive
DORA research reveals that 90% of engineers use AI tools, but self-reported productivity gains may be illusory—a productivity placebo effect that masks real bottlenecks and quality traps.
26.11.2025