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Turning caffeine into code and bugs into features. Join us as we code, create, and innovate - one line at a time!

AI tokens: A new default for open source contribution?

A few weeks ago an issue surfaced on the Gas Town repository alleging that two of its default formulas quietly contribute upstream PRs using users' Claude credits and GitHub accounts, with no opt-in and no README mention. The reported behaviour was never made opt-in, and the proposed fix was closed by maintainers. Looking past the specific case, the underlying mechanism could become a useful default for open source, if it were structured as a token tithe with explicit consent, scope, and attribution. This post sketches what such a tithe might look like, how it could plug into existing tooling, and why the loop it creates might address problems that traditional sponsorship has not.

A practical onboarding guide for Project Managers

Onboarding to a new project is equal parts exciting and terrifying. In an ideal world, a perfect handover or a detailed, well-structured onboarding is waiting for you. In the real world, this is rarely the case. Imagine someone hands you a puzzle. On the box you see a nice picture but when you open it, thousands of loose pieces are waiting to be put together. That is what stepping into a new project often feels like for Project Managers. Here is how to put it together without losing your mind in the first weeks.

Swift on android: A practical use case

Swift 6.3 shipped the first official Swift SDK for Android in March 2026, and the toolchain is finally stable enough to use on a real product. In this post I walk through what the SDK actually installs, how the swift-java JNI bridge replaces hand-written glue, and what a realistic cross-platform Swift library looks like in practice. The example, PasswordKit, is a small password strength scorer that ships to both the App Store and Play Store from a single Swift package.

AI in Project Management - Threat or opportunity?

AI is now a standard part of the job description across many industries and in the software world it has been omnipresent for a while. As a Project Manager, I have enjoyed learning how AI can free me from administrative tasks, repetitive work, and help me produce higher quality output. But let's be honest, there were moments where I questioned the whole thing driven by one fear: that I was essentially training my own replacement.

Navigation in Compose Multiplatform: a practical comparison

Compose Multiplatform lets you share UI across Android, iOS, desktop, and web - but navigation is where platform differences hit hardest. There's no single "right" library, and each option makes fundamentally different trade-offs between simplicity, architecture, and platform integration. This post compares four real options - official Compose Navigation, Decompose, Voyager, and Circuit - with enough detail to help you make an informed choice for your project.

VLMs vs. object detection: A practical use case

Vision language models can describe images in remarkable detail, but when you ask them to tell you exactly where something is in a photo, the results fall apart. This post explores why VLMs fail at spatial localization, what the research says about it, and what we learned firsthand while building an on-device computer vision feature. We compare VLM outputs against dedicated object detection models like YOLO, show the results with real images, and explain why composite pipelines that combine both tools are the most practical path forward.

Designing on-demand ML training infrastructure on AWS: A practical architecture guide

Machine learning projects do not depend only on good models. They also depend on the infrastructure behind them. Training workloads are expensive, unpredictable, and often inefficient when run on static environments. As organizations scale their AI efforts, the ability to provision training infrastructure on demand becomes critical for both cost control and speed of experimentation

Migrating to Swift 6: a practical guide (3/3)

You've learned the concurrency patterns - now it's time to bring them into your production codebase. This final installment covers the strategic side of Swift 6 adoption: how to assess your codebase, choose the right migration strategy, enable strict concurrency incrementally, and avoid the pitfalls that derail real-world migrations.

Swift 6 concurrency: advanced patterns (2/3)

In Part 1, we covered the building blocks of Swift 6 concurrency - async/await, actors, Sendable, and MainActor. Now it's time to put those fundamentals to work. In this second installment, we'll explore the patterns you'll reach for daily: streaming data with AsyncSequence, fine-tuning task priorities, integrating concurrency safely into SwiftUI, and migrating away from Combine. We'll also walk through the most common pitfalls so you can sidestep them before they hit production.

Swift 6 concurrency: the fundamentals (1/3)

Imagine you're running a restaurant kitchen. You could cook each dish one at a time - chop vegetables for dish A, cook dish A, plate dish A, then start on dish B. This **serial** approach is simple and safe, but customers would wait forever. Or, you could run the kitchen like a real restaurant: multiple chefs working simultaneously - one chopping vegetables, another grilling, another plating. This **parallel** approach serves customers faster, but introduces complexity. What if two chefs reach for the same knife? What if the plating chef starts before the grilling chef finishes?

The evolution of iOS state management

Every iOS developer has lived this moment: you're debugging a screen where a label shows stale data, a button is inexplicably disabled, and somewhere in a 1,500-line view controller, a boolean flag named `isLoading` mocks your attempts to understand what went wrong. State management, the art of keeping your UI in sync with your data, has been the recurring challenge of iOS development since the App Store opened in 2008. Each generation of developers has faced it, solved it differently, and passed new problems to the next.

Upgrading Aurora PostgreSQL: Blue/Green deployment journey

When it comes to major database version upgrades, downtime is the enemy. Recently, we successfully upgraded our Aurora PostgreSQL cluster from version 13 to version 17 using AWS’s blue/green deployment strategy, achieving an impressive 3 seconds of write downtime.

Case study: owning products and managing projects for customers

Saeco is not just another coffee machine brand. It is Italian heritage, ritual, and emotion wrapped in premium hardware and increasingly sophisticated digital experiences.

Choosing the right IoT platform strategy: build, buy & integrate, or buy off-the-shelf

As businesses increasingly adopt IoT solutions, they face a crucial decision: Should they build their platform from scratch, buy and integrate existing solutions, or purchase an off-the-shelf platform? Each approach has distinct advantages and trade-offs, particularly in cost, flexibility, and time to market. In this blog post, we compare all three approaches, outlining their pros and cons. Finally, we dive deeper into the Buy & Integrate approach using AWS IoT Core and related AWS IoT services.

Optimizing mobile app performance with AWS CloudFront and AWS Global Accelerator

Today, we are leveraging various cloud solutions to connect and deliver core functionalities of our apps.

The importance of understanding basic front-end development principles for UX/UI designers

Integrating a foundational knowledge of front-end development can elevate your work to new heights.

Transforming e-commerce mobile experiences with AR

Explore how groundbreaking technology is revolutionising the mobile app industry.

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