19 Articles about AI & Coding

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AI Definitions: Vibe Coding

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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

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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

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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

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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

The jobs of Experienced Coders

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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

Balancing Speed with Quality Coding

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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

AI Magic & Engineering Principles

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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

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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

14 Articles about AI & Coding

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11 Articles about AI & Coding

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7 Articles about AI & Coding

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29 Data Science & Geospatial Articles from March 2023

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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

15 Data Science Articles from Jan 2023

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25 Data Science Articles from Dec 2022

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A Pandas DataFrame cheatsheet for exploratory analysis & data manipulation 

Five ways that data roles will change in 2023 related to Chief Data Officers

AI & machine learning are “top of mind for the Army, especially as it pertains to protecting its assets in space”

10 weird things about SpaceX's more than 3,000 Starlink satellites (and that number keeps growing)

Initial specific steps toward launching a machine learning project 

Adobe has just released a remarkable and free AI-powered enhanced speech tool

The four biggest trends they expect to shape the AI landscape in 2023

Synthetic data applications, limitations & vulnerabilities

A guide to the roles and responsibilities on a data migration team

A tech journalist goes back to high school to find out what OpenAI’s Chatbot can pass AP Lit

The current limitations of AI’s military impact & where tech could one day spark “revolutionary changes” 

How Bayesian network structure learning can incorporate missing data 

The NGA has plans to develop an overarching cloud-based enterprise management system capable of automating its data collection and dissemination and ultimately replacing the overall Foundation GEOINT storage and management process 

A new paper on “Localization and classification of space objects using EfficientDet detector for space situational awareness”

Potential uses of ChatGPT for data scientists

McKinsey on the state of AI since the research firm began tracking it five years ago

A new collaborative effort is designed to “support interoperable open map data as a shared asset that can strengthen mapping services worldwide”

Different kinds of geospatial specialists are needed in different situations

China outpaces efforts by U.S. intelligence agencies to harness power of publicly available data 

The Space Dev Agency’s first major satellite launch has been delayed again

A look under the hood: How does ChatGPT work internally? 

An AI method from MIT and IBM research “improves the training and inference performance of deep learning models on large graphs”

Some basics about the new AI called ChatGPT 

Why Neural Network explainability is important, how to do it, & the tools for it

“The FCC approved part of SpaceX’s application for the second generation of the Starlink constellation, which will allow SpaceX to deploy up to 7,500 satellites”

27 Data Science Articles from June 2022

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The priorities of the first-ever assistant secretary of the Air Force for space acquisition and integration (& top acquisition executive for the Space Force)

Google Cloud expands Earth Engine to help businesses and governments

Comparing C++ to Python (with examples)

Can synthetic data help AI get quicker results —and be less discriminatory? Here comes the fake data

OpenAI says its latest AI has learned to play Minecraft

US intelligence artificial intelligence use is booming but it's not the secret weapon you might imagine

“A major challenge facing the DoD at the moment is disparate data, spread across many different databases and stakeholders. Future winners will be those that can take all the data into a single location and make sense of it.”

“AI solutions for defense are much more mundane and focused on improving decision-making for humans” than many would imagine”

Space 2.0: “The shape of space is expanding beyond traditional defense & aerospace to an expansive range of practical & profitable applications.” A look at the 2022 trends

China launches first crewless drone carrier—experts suggest that it could also be used as a military vessel  

Space-based assets aren’t immune to cyberattacks: Russia's attack on Viasat satellites exposed how vulnerable space-based assets are and the potential for spillover damage

Which is better for data science visualization—R or Python? (hint: it all depends on the nature of the problem to be solved) 

Overcoming overfitting a model in machine learning

How space debris threatens modern life  

Ranking Pandas for Python, Dask & Datatable based on their performance

Snowflake ups support for python Build and offers Native Application Framework to run applications inside the Snowflake Data Cloud platform

Pentagon’s new AI and data chief waited days just for an ID card: ‘Let me say honestly that the bureaucracy is real’

The basic process of handling satellite image data for geospatial deep learning

6 Types of “feature importance” — a useful (and yet slippery) machine learning concept

Google Cloud’s new machine learning tools for its Vertex AI are now making their debut after being featured at the recent Applied ML Summit

The remarkable story of deploying the satellite communication system Starlink in Ukraine

Creating a simple, interactive dashboard with Panel & Python

Wanted: artificial intelligence & machine autonomy algorithms for military command and control

A visual breakdown of threats to space-based services such as Starlink & GPS

Google won’t allow people to create deepfakes using its collaborative machine learning platform any longer

“Python may be the second choice to R, but its popularity and ease of use positions it to dominate data science” 

Top YouTube channels for learning data science

Some basic data cleaning issues and possible solutions

Daily Data Science stories here.

24 Data Science Articles from May 2022

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Spark or Hadoop? Both Apache products can be used by data scientists but which is the better analytics tool? Here’s a comparison—along with which one will fit better based on your project focus

Fixing data lake errors can be time-consuming, and costly—here are some thoughts on standardized an autonomous validation approach to avoid the lake becoming a swamp

Interpol: in a couple of years expect state-developed cyber weapons to be available on the dark net  

Do you think Python is slow? Here’s a fast way to loop in Python

Looking for patterns in satellite image time series with python? Here’s a quick guide for handling time-varying imagery with open python libraries 

Can the new-and-improved Large Hadron Collider save particle physics?   

Want to run Python code in a browser? Soon you might be able to 

The AI Engineering Process: A guide to solving an AI problem

The challenges of organizing geospatial intelligence efficiently 

Making predictions outperforms smart teams of data scientists working on large data sets. Some examples of machine learning mistakes thanks to the narrow thinking of the humans that created them.

Some researchers claim we’re on the cusp of GoPro physics—where a camera can point at an event and an algorithm can identify the underlying physics equation

An in-depth look at Neural architecture search—the AutoML subfield aiming to replace manual designs

In an effort to enhance artificial intelligence & machine learning technologies military researchers are letting it be known they want more accurate processing of covariance information related to environmental variations and noise

Intelligence agencies are starting to coalesce around a set of common standards and data for using open source intelligence

A detailed explanation of handling satellite imagery in the format of .tiff files using Python.

A way to better understand road networks by measuring their spatial homogeneity using machine-learning tools like graph neural networks

The place where machine learning shines

A new deep learning technique shows promise to make robotics systems more stable in handling deformable objects

Small satellites: The implications for national security 

Ukraine may be a tipping point for developing intelligent weapons

Two main types of adversarial attacks in neural networks

It’s not just about gathering data—it’s telling compelling stories 

NGA to Leverage AI, ML for GEOINT Analysis at Scale 

From data scientist to … comedian?

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