Your AI Writes Tests That Pass. That Is the Problem.
AI-generated tests can look reassuring while proving very little, exposing a dangerous gap between green checkmarks and real verification.
Software Development
16 posts
COBOL Was Never the Product. The Toll Booth Was.
COBOL modernization is not just a technical story; it threatens the consulting toll booths built around legacy systems.
Programming as the Art of Naming
As AI writes more code, naming becomes even more central: the human craft shifts toward concepts, boundaries, and meaning.
When an AI Can Act but Cannot Judge
LLMs may act impressively while still failing to know when they are capable, making self-assessment a core safety problem.
Bridging Context Engineering in AI with Requirements Engineering
Context engineering and requirements engineering converge, suggesting better ways to specify AI-assisted software before code is written.
“Personality” in a Machine: What Do We Mean?
Different coding models show recognizable habits, risk tolerances, and failure modes, making 'personality' a practical engineering concern.
AI Magnifies Your Team’s Strengths and Weaknesses – Insights from Google’s 2025 DORA Report
Google's DORA findings suggest AI amplifies team quality: strong practices get stronger, broken processes get louder.
Choosing the Right OpenAI API Interface: A Developer’s Guide for 2025
A developer-focused guide to choosing between OpenAI's Chat Completions, Responses, and Assistants APIs in 2025.
When Metrics Go Wrong: A Tale of Goodhart's Law and AI Misalignment
Goodhart's Law explains why AI alignment can fail when proxy metrics become targets and systems learn the wrong game.
The Weight of Knowledge: Connecting Project Strawberry to a Physicist’s Sweet Revelation
Project Strawberry and the physical weight of the internet meet in a playful reflection on knowledge, storage, and scale.
The AI Cargo Cult: Mimicry vs. True Intelligence in the Pursuit of AGI
The post warns against an AI cargo cult that confuses impressive mimicry with the harder problem of genuine intelligence.
Taking the Temperature of AI: How THERMOMETER is Turning Up the Heat on Overconfident Language Models
THERMOMETER targets overconfident language models, offering a way to calibrate systems that bluff too easily.
No Boss, All Brains: The New Paradigm of Decentralized AI Agents
Decentralized multi-agent systems promise problem-solving without a central boss, but coordination becomes the real challenge.
Multi-Agent LLMs: Exploring the Future of AI Collaboration
Multi-agent LLM systems are explored as a path toward distributed reasoning, specialization, and collaborative AI workflows.
Can You Spot the AI? The Turing Test and GPT-4's Sneaky Success
GPT-4's Turing-test performance revives the old question of whether fooling humans proves intelligence or just fluency.
Why Mojo is the Secret Sauce in the AI and ML Kitchen
Mojo is presented as a promising language for AI and machine learning, blending Python-like usability with systems-level speed.