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Artificial Intelligence|Oct 15, 2025

GitHub All-Stars #7: Paper2Agent - The alchemy that transforms research papers into a working code

This week, we’re diving into a project that tackles one of the most fundamental problems in the world of science and engineering: the frustrating gap between the theory described in a research paper and its practical implementation. Anyone who’s ever tried to reproduce results from a paper knows the pain. The code, if it’s even available, is often a tangled mess of one-off scripts and Jupyter notebooks - making reproducibility, the cornerstone of science, more of an art than a craft.

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Artificial Intelligence|Oct 13, 2025

What top engineers read about AI in September 2025

This newsletter is a monthly, noise-free roundup of AI developments that truly matter to engineers and tech leaders — practical, skeptical, and ready for implementation. Instead of chasing every new model or “top 50 tools” list, we focus on what will stand the test of time and genuinely change how we build software. This month, we’re diving into agents — a concept that’s finally moving beyond experimentation and maturing into a true engineering discipline.

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Artificial Intelligence|Oct 1, 2025

GitHub All-Stars #6: Dayflow - Your Day’s Private “Git Log”

There is a fundamental gap in understanding our own productivity, for those who feel an inner need to close it, creates an opportunity for Dayflow - a project that aims to redefine how we perceive and analyze our screen time - for the good or the bad. Dayflow is not yet another time tracker - it’s an ambitious attempt to build a “semantic timeline,” or, to use the project’s own metaphor, “a git log for your day”.

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Artificial Intelligence|Sep 18, 2025

This Month We AIed #2

This month, we used AI to stress-test three repeatable patterns: we ran a full Java 8 to 21 migration to compare Claude Code with Cursor, scaled agents on a large codebase by right-sizing context with Cline’s Focus Chains, and we put two specialized agents into a review loop. We also did a rapid proof of concept with Cursor in agentic mode.

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Artificial Intelligence|Sep 17, 2025

GitHub All-Stars #4 - CopilotKit: Solving the “Last Mile” Problem for AI Agents

In this edition of GitHub All-Stars, we look at a key building block of agentic applications - UI- and how Human-in-the-Loop can be implemented in practice. Let’s be honest: despite the marketing, no agent solution is perfect, and there will always be moments when we, the protein-based organisms, are needed. That’s why any application that aims to solve the problem realistically has to face this challenge head-on.

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Artificial Intelligence|Sep 16, 2025

The role of AI agents in accelerating the insurance underwriting process

In this third and final installment of the series, Krzysztof Korbacz will take a deep dive into the role of AI agents. Anyone who has seen the underwriting process from the inside knows it is a complex beast and, interestingly, still largely manual and based on fragmented data. How could AI agents fit into it, and how are they already doing so?

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Artificial Intelligence|Sep 12, 2025

AI glossary: Key terms to help you understand artificial intelligence

To stay up to date in the Artificial Intelligence solutions era, it's critical to become acquainted with the fundamental terms, concepts, and jargon that characterize this fast-developing discipline. This article will help you discover the foundational concepts of neural networks, deep learning, natural language processing, and beyond.

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Artificial Intelligence|Sep 9, 2025

Human-in-the-loop in Agentic AI Underwriting

In the previous entry of the series, Bartek Antoniak shared his market-wide observations from the perspective of a professional software engineering and consulting firm. In the second article in the series, Peter Ratcliffe takes a deep dive into how AI has already reshaped the insurance industry, particularly the underwriting process.

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Artificial Intelligence|Sep 5, 2025

What top engineers read about AI in August 2025

Every morning, I scan Hacker News, newsletters, research, and weird corners of the web before preschool drop-off. I collect the gems that don’t make the headlines but teach useful lessons or spark technical ideas. Now I’m sharing them here. My rules are simple: no chasing every new model, no “top 50” lists, and no breathless marketing. Read on for this edition’s hand-picked stories and lessons. If that sounds like your kind of newsletter, welcome to issue two.

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Artificial Intelligence|Sep 2, 2025

Digitalization and AI in Insurance

The Insurance industry needs modernization. Current accelerated digitisation makes it hard for laggards to keep up. There is a clear efficiency gap that needs bridging. The market's connectivity is low-tech, hugely inefficient, and the market lacks the will to adapt to modern technology standards - particularly among traditional insurers that have expanded organically or through acquisitions.

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Artificial Intelligence|Aug 21, 2025

This Month We AIed #1

As we go full-AI mode, we want to inspire fellow developers with all the cool projects and experiments our devs are running with AI tools and agents. This is why we are launching the new series: “This Month We AIed” initiated by the Scala expert and SoftwareMill co-founder, Adam Warski.

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Artificial Intelligence|Aug 12, 2025

What top engineers read about AI in July 2025

This first edition curates in-depth, hype-free AI insights for engineers, from the pitfalls of multi-agent systems to the rise of AI-powered browsers. Expect contrarian takes, practical engineering tips, and real-world case studies over fleeting trends.

What engineers read about AI in July 2025
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