
033: Talking Gradle with GDE Annyce Davis
About this episode
In this episode we talk Gradle with the amazing and awesome Annyce Davis. We deal with the basics of Android's build system and dabble with some tips on improving your build times.
Also we released our first ever Fragmented T-shirt in collaboration with another amazing GDE Taylor Ling of AndroidTee fame.
Show Notes
- Annyce's talk where she mentions Cyclomatic complexity [youtube.com]
- OffGrid Electric
- Corey Latislaw on TDD and Testing [fragmentedpodcast.com]
- Annyce Davis' Caster.io videos
- DAG: Directed Acyclic Graph [wikipedia.org]
- DAG discussion on Fragmented - Seek to 18:35
- What commands does Andorid Studio's gradle aware make perform? [stackoverflow.com]
- MakeBeforeRunTaskProvider source [android.googlesource.com]
- Creating a Gradle Plugin
- Use apply from in gradle to include external files
- Learn Groovy
- Gradle dry run flag [docs.gradle.org]
- Madis Pink - Optimizing gradle build time : Droidcon Paris [youtube.com]
Annyce's talks & videos:
- Be a good citizen: Develop Maintainable apps [youtube.com]
- Caster.io videos
Fragmented T-shirt
Contact
- Annyce @brwngrldev [twitter.com]
- @fragmentedcast [twitter.com]
- @donnfelker [twitter.com]
- @kaushikgopal [twitter.com]
Get every episode summarized
Each time Fragmented - AI Developer Podcast publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from Fragmented - AI Developer Podcast

311 - Self learning harnesses are here
Fragmented - AI Developer Podcast

310 - Mitchell Hashimoto on Ghostty & His Agentic Coding Workflow
Fragmented - AI Developer Podcast

309 - Background Agents
Fragmented - AI Developer Podcast

308 - How Image Diffusion Models Work - the 20 minute explainer
Fragmented - AI Developer Podcast