Software Developers Have Become Researchers
AI now writes most of the code. The developer's job has moved to research: gathering context, asking the right questions and judging the output.
· 3 min read · AI, Future of work
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6 AI Practices Every Knowledge Worker Should Steal
Senior developers already work with AI daily. Here are six practices, from spec-driven work to project memory files, any knowledge worker can steal.
· 12 min read · AI, Productivity, Future of work
Human in the Loop
AI can't replace developers, because complex tasks still need a human in the loop, and skipping that step becomes technical debt.
· 2 min read · AI, Future of work
Using Deferred Execution to Tame AI Agents
An AI agent merged a PR to main without review and triggered a deploy. Why global rules fail, and what actually works.
· 4 min read · AI, Cursor, Functional-programming, Agents
Stateful Kafka Streams Processors: Reducing Rebalancing - Lessons Learned
Stateful Kafka Streams on Kubernetes need configuration to stay stable during rolling updates without causing lag. If your processor must be fast, runs on few partitions, …
· 11 min read · Kafka, Kubernetes, Streaming, Backend
How AI is misused in software teams
AI is making one part of engineering cheaper: producing text and code. The misuse is assuming that cheap output produces progress. Often it produces the opposite: teams …
AI Will Not Replace Developers - It Will Make Them More Necessary Than Ever
For the past few years, a familiar narrative has been circulating through the technology industry: artificial intelligence will soon replace software developers. Each new …
· 6 min read · AI, Future of work
Hello, Haskell: Getting Started in 2026
Read this if you want to: see beginner examples that link Haskell’s syntax to its underlying mental models – types, pattern matching, declarative style and do see …
· 11 min read · Hands-on, Haskell, Functional programming
[Scala] Fundamental Concurrency Problems and Solutions
The best way to approach concurrency is to master the fundamentals. Below is a small collection of foundational concurrency problems with practical solutions using Scala …
· 8 min read · Concurrency, Scala, Cats, Interview
[Scala] Quick experimentation vs -Xfatal-warnings flag in sbt
Problem I’ve always had mixed feelings about scalacOptions += "-Xfatal-warnings". On one hand, it’s an inevitable PR review and code quality boost—I no longer …
Using Pandas and NLTK for Simple Data Analysis: A Beginner's Guide
Data analysis doesn’t always have to be intimidating. By leveraging powerful Python libraries and Google Colab’s user-friendly platform, you can dive into …
· 7 min read · Python, Pandas, Nltk, Sentiment, Data analysis
Basics of Data Manipulation in Python
In this post, we learn the basics of data manipulation in Python. We’ll use the following: Regular Expressions Numpy Pandas Regular Expression Let’s start …
· 4 min read · Python, Numpy, Pandas, Regex, Data science, Mads
Math Methods in Data Science
In Data Science, understanding some math is essential. Let’s review some essential math methods in Python grouped in: Basics Linear Algebra Probability Statistics …
· 5 min read · Python, Numpy, Math, Linear algebra, Probability, Statistics, Data science, Mads
Powered by AI Inc.
There is a lot of noise around AI. Even though it was an ambiguous topic in the past, it has become unbearable nowadays. People throw AI in their startup names, and …
· 3 min read · Rant, Technology
Demand for Effectful systems and FP concepts
1. How to write good code One may think functional programming is an abstract concept, not very useful in projects, “I use Java, and it works”. However, this …
· 10 min read · Software, Scala, Functional programming, ZIO
The world is event-driven, so your project should be too
1. Problem Sometimes as a developer, you need to implement a system for a power plant, a banking system, or anything that is not a hello-world project but has many moving …
· 7 min read · Software, Architecture