19 Articles about AI & Coding

/

AI Definitions: Vibe Coding

/

Vibe Coding – An LLM generates code that meets the specifications stated in the user's prompt. This is not the same as software development, where the user reviews the AI coding and can explain it. This type of coding uses natural language to communicate desired outcomes. Vibe coding platforms would include Claude Artifacts, Creator Hunter, and Cursor. While the goal is a finished product, in practice, this approach entails risks, such as hidden bugs and subtle security issues. Some degree of human oversight and refinement is still needed for most LLM-generated code outcomes to become production-ready.

More AI definitions

A way to create finished, bug-free programs without human intervention

/

Users of Claude Code, Anthropic’s software-writing AI system, recently discovered a way to create finished, bug-free programs without human intervention. The trick: Write a small program that asks the AI, over and over again, to improve the code it has already written. Named the Ralph Wiggum technique, after the dimwitted but persistently optimistic “Simpsons” character, this simple trick is effective at forcing Claude Code to solve problems on its own. - Wall Street Journal

The Vibe-Coding Guardrails

/

Jason Lemkin, a startup founder, embarked on a very public experiment in AI-assisted development to build a networking application. Over the course of a week, euphoria turned to disaster. Lemkin tweeted that the AI agent had caused a catastrophic failure: it had gone rogue and wiped his production database entirely, despite explicit instructions to freeze all code modifications. The incident was peak vibe-coding, crystallizing growing concerns that the speed and apparent ease of AI-generated code had seduced builders into abandoning the very guardrails that prevent such disasters. Despite the recent gloom, I’m actually optimistic about LLMs coding more broadly. We just have to use the tools differently. - Michael Li, Harvard Business Review

AI Supervision

/

One coding team spent 3 days fixing what should have been a 2-hour problem. They had "saved" time by having AI generate the initial implementation. But when it broke, they lost 70 hours trying to understand code they had never built themselves. The time you save upfront gets charged back with interest later. The best teams avoid this because the human engineer actually understands the code. They shaped it. They made the key decisions. The AI just handled the mechanical work of typing it out. The new constraint is: "Can we understand the code we're writing fast enough to keep moving?" Treat code review as a comprehension verification step, not just a bug-catching exercise. - Paul Sangle-Ferriere

19 Articles about AI & Coding

/

The jobs of Experienced Coders

/

The combination of higher salaries and a reluctance to embrace A.I. was likely to put the jobs of experienced coders at risk. “How you decrease cost is not by firing the cheapest employees you have. You take the cheapest employee and make them worth the expensive employee. In a recent study by researchers at Microsoft and three universities, an A.I. coding assistant appeared to increase the productivity of junior developers substantially more than it increased the productivity of their more experienced colleagues.” -New York Times

19 Articles about AI & Coding

/

How to Measure the ROI of AI Coding Assistants – The New Stack

AI now writes 25% of code in the US: Should Computer Science students rethink their career plans? - Times of India

Learn to code, they said: AI is already erasing some entry-level coding jobs – Mashable

What Google Translate Can Tell Us About Vibecoding – Ingrid’s Space  

Coding agents have crossed a chasm // flurries of latent creativity – Singleton  

Field Notes From Shipping Real Code With Claude - diwank's space

How to use ChatGPT to write code - and my top trick for debugging what it generates - ZDnet

How vibe coding is tipping Silicon Valley’s scales of power – Semafor

An AI Vibe Coding Guide for Data Scientists – KD Nuggets

My AI Coding Skeptic Friends Are All Nuts – Fly.io

"Learn to Code" Backfires Spectacularly as Comp-Sci Majors Suddenly Have Sky-High Unemployment - Futurism

A.I. Is Coming for the Coders Who Made It – New York Times

The Computer-Science Bubble Is Bursting: Artificial intelligence is ideally suited to replacing the very type of person who built it – The Atlantic

AI and State of Software Development – Hardik Pandya

Which Workers Will A.I. Hurt Most: The Young or the Experienced? – New York Times

The Best AI Coding Tools You Can Use Right Now – IEEE

AI Agents Are Getting Better at Writing Code—and Hacking It as Well – Wired

I’ve become an AI vibe coding convert – Fast Company

Google issues official internal guidance on using AI for coding - and its devs might not be best pleased – Tech Radar

Balancing Speed with Quality Coding

/

Speed means nothing without quality. Shipping buggy, unmaintainable code faster is a false victory – you’re just speeding towards a cliff. The best engineers will balance the two: using AI to move faster without breaking things (at least not breaking things any more than we already do!). It’s about finding that sweet spot where AI does the heavy lifting and humans ensure everything stands up properly. - Addy Osmani writing on Elevate

15 Articles about AI & Coding

/

AI Magic & Engineering Principles

/

None of this is to say AI can’t write good code – it sometimes does – but rather that context, scrutiny, and expertise are required to discern good from bad. In 2025, we are essentially using a very eager but inexperienced assistant. You shouldn’t blindly trust an AI’s code without oversight. The hype of “AI magic” needs to meet the reality of software engineering principles. - Addy Osmani writing on Elevate

Unchecked AI-generated Code

/

Unchecked AI-generated code can massively amplify technical debt, the hidden problems that make software brittle and costly to maintain.  Many early vibe-coded projects look good on the surface (“it works, ship it!”) but hide a minefield of issues: no error handling, poor performance, questionable security practices, and logically brittle code. - Addy Osmani writing on Elevate

AI Definitions: R

/

R - This open-source and widely supported scripting language is used by data scientists managing large, complex data sets. R is considered the best language to combine statistical computing with mathematics and graphics. It is particularly useful when creating AI applications such as computer vision, natural language processing, and predictive modeling.

More AI definitions here.

14 Articles about AI & Coding

/

11 Articles about AI & Coding

/

7 Articles about AI & Coding

/

29 Data Science & Geospatial Articles from March 2023

/

Smaller, simpler neural network models are always more suitable for real-world applications

“Russia has expressed its willingness to target space assets, including commercial communications systems, adding to the U.S. urgency of developing warfighting tactics.”

US vs China—a video about the race to launch the next generation of space telescopes

China is preparing to launch its first satellites for a national low Earth orbit broadband megaconstellation to challenge SpaceX’s Starlink

Pentagon Prepares for Space Warfare as Potential Threats From China, Russia Grow

“The ideal size and intricacy of neural networks remain a matter of debate in the AI community, raising the question: Does neural network complexity matter?”

Remote sensing companies try to capture bigger piece of satellite imaging market

What data scientists need to know about machine learning

A list of free data science courses—from web scraping, statistics/probability, data analytics, SQL to business intelligence

The value of predictive models — cartography when data is very scarce

Quantum computers are a security threat before they even exist thanks to the encryption-breaking threats it posses

Space Force Wants $60 Million for Ultra-Quick Satellite Launches—with just 24 hour notice  

“The era of small satellites in Low-Earth Orbit is upon us”: Satellite manufacturers look to benefit from a multi-orbit future

China launches second classified high resolution remote sensing satellite

China’s secret naval base in Cambodia, through satellite imagery

Four machine learning trends to watch in 2023

Valuable GitHub repositories for data engineering

OpenAI’s price cut is “a warning sign that this may be a business with few producers"

“The launch of ChatGPT & Whisper APIs is expected to have a profound impact on the community of developers”

Documents detail 65-year effort to monitor an increasingly crowded orbital environment: A report on the US space surveillance network

Chinese research institutes are working to construct a quantum communications network using satellites in low and medium-to-high Earth orbits

The paradox that explains why “too much aggregation of data can become useless and start to introduce bias”

31 Generative AI Tools for text, images, & more with descriptions

A Chinese satellite launched in 2018 has been inspecting other nations' spacecraft high above Earth in geostationary orbit

Debating the rules of a conflict in orbit

Data Cleaning with Python Cheat Sheet

Diving into the world of quantum machine learning by exploring an advanced project utilizing a sample dataset

A systematic approach to retraining deep-learning artificial intelligence algorithms to deal with different situations

The difference between the roles of questions versus decisions in data science