Senko Rašić

Amdahl's law states that the overall performance improvement gained by optimizing a single part of a system is limited by the fraction of time that the improved part is actually used, and is often invoked by engineers in the context of AI productivity gai…

A year ago I wrote that AI-assisted programming had reached a tipping point and spoke about the spectrum of AI-assisted coding: from smarter tab completions to fully autonomous app builders.

Many companies today are facing increasing pressure to adopt AI and launch AI-based features.

Experience with AI-assisted coding varies widely across different projects, teams, and individual developers.

Code reviews are an essential part of good software development practice.

People are mad at AI scrapers.

AI coding tools promise faster delivery and lower development overhead but raise practical questions around security, maintainability, and long-term viability.

Startups have always chased vanity metrics.

Aside from investment mega-deals with NVIDIA, AMD, Oracle and Broadcom, which took most of the mainstream media attention, OpenAI has this year made a number of product announcements and launches that shed light on their product strategy going forward.

In a previous article, I made a distinction between AI hype and pragmatic AI.

Startups live and die by their product-market fit (PMF).

AI-assisted programming has reached a tipping point in 2025.

In the current AI boom, like with many technological revolutions in the past, there are two distinct reasons people talk about the new technology.

There's plenty of excitement about AI agents and agentic workflows, and for good reason.

Many software companies today – from Microsoft and IBM to scrappy startups – use, publish, and promote open source software.

Many organizations are exploring AI integration in their products or internal processes.

There are four major risks when starting a startup, entering a new market, or developing a new product: technology risk — can you build it?

Advice is a form of nostalgia.

Kanban originated in Toyota where it was (and still is) used to organize processes in their factories, such that they can quickly respond to changing demand and keep the production running smoothly.

Conventional wisdom these days, especially for startups, is to design your software architecture to be horizontally scalable and highly available.

The post-pandemic return-to-office (RTO) mandates are still the subjects of intense debate about working in the office or remotely, with two sides often talking past each other.

Video is a big part of our online experience.

Web development is powered by open source.

As I write this (September 2014), the Internet is in panic over a catastrophic remote code execution bug in which bash, a commonly-used shell on many of the today’s servers, can be exploited to run arbitrary code.