When you’ve ever grumbled at boilerplate code or watched your Kotlin construct crawl, this episode is your shortcut to sanity. Android engineer and Kodeco veteran Dean Djermanović joins us to interrupt down Kotlin Image Processing (KSP) — a strong software for clear code and quick builds. Whether or not you’re new to KSP or curious the way it stacks up in opposition to kapt, Dean brings real-world insights, sensible ideas, and an inspiring journey from coder to convention speaker. Tune in to study why KSP would possibly simply be your new favourite dev software.
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Present Notes
Be a part of Jenn and Dru as they chat with Android engineer and Kodeco contributor Dean Djermanović about Kotlin Image Processing (KSP). Whether or not you’re inquisitive about dashing up your Kotlin builds or bored with repetitive boilerplate, KSP may be the software you didn’t know you wanted. Dean walks us via the way it works, when to make use of it, and the way he’s utilized it to real-world initiatives.
Highlights from this episode:
- What Kotlin Image Processing (KSP) is and the way it helps Kotlin builders generate code extra effectively.
- The variations between KSP and kapt—and why KSP is now the popular method.
- A step-by-step walkthrough of constructing a easy KSP processor.
- How Dean used KSP in manufacturing to automate mapper class era and cut back handbook updates.
- Ideas for studying KSP, avoiding frequent pitfalls, and integrating it easily into your initiatives.
Talked about in This Episode
- Kodeco’s Kotlin Image Processing Tutorial — Discover ways to do away with the boilerplate code inside your app by utilizing Kotlin Image Processor (KSP) to generate a category for creating Fragments.
- DroidCon — Conferences the place Dean has offered KSP use instances in real-world apps.
- Kotlin Slack — Search for the #ksp channel to attach with the KSP workforce and different devs utilizing it.
- Gas your mind and physique with Eggs in a Basket.
Contact Dean and the Hosts
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