If you happen to’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 robust instrument for clear code and quick builds. Whether or not you’re new to KSP or curious the way it stacks up towards kapt, Dean brings real-world insights, sensible suggestions, and an inspiring journey from coder to convention speaker. Tune in to be taught why KSP would possibly simply be your new favourite dev instrument.
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Present Notes
Be 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 interested by dashing up your Kotlin builds or uninterested in repetitive boilerplate, KSP could be the instrument you didn’t know you wanted. Dean walks us by the way it works, when to make use of it, and the way he’s utilized it to real-world tasks.
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 technology and scale back handbook updates.
- Suggestions for studying KSP, avoiding widespread pitfalls, and integrating it easily into your tasks.
Talked about in This Episode
- Kodeco’s Kotlin Image Processing Tutorial — Discover ways to eliminate the boilerplate code inside your app through the use of Kotlin Image Processor (KSP) to generate a category for creating Fragments.
- DroidCon — Conferences the place Dean has introduced KSP use instances in real-world apps.
- Kotlin Slack — Search for the #ksp channel to attach with the KSP staff and different devs utilizing it.
- Gasoline your mind and physique with Eggs in a Basket.
Contact Dean and the Hosts
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