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spring-attic
spring-fu
Java2018–2023
spring-attic / spring-fu · Archived

spring-fu

Configuration DSLs for Spring Boot

7Distinct people
13Mentions
0Explicit recommenders
1.7KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Configuration DSLs for Spring Boot

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 11:34:28 AM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year13 dated mentions

Observed mentions: 2018-06-13 16:38:47 UTC to 2023-10-11 16:55:31 UTC.

012342018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20202021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2023

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC211
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC202
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC101
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC404
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC202
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC202

What Hacker News says

2 sources
The Spring team and Graal folks are working on full support. I believe the main angle is to ensure the annotation-based model will work smoothly[0]. Another is to introduce a fully-functional model (Spring Fu/Kofu [1]). Bear in mind, a lot of what Spring -- Spring Boot in particular -- gets charged with is beyond its control. It's an entrypoint to the vast Java ecosystem, much of which is also incompatible with Graal native images at the moment. [0] https://github.com/spring-projects-experimental/spring-fu [1] https://github.com/spring-projects-experimental/spring-graal...
In Really Small Java Apps
I've encountered spring/hibernate projects in the with lots of performance and integrity issues that were easy to straighten out by just cutting out the orm layer and replacing it with non magical, simple SQL. Magic is nice when it works but when it stops working and you lack the skills on the team to make sense of it, things get ugly quickly. This happens exactly when you are adding complex features that stretch the abilities of the framework you are using as well as the teams understanding of that framework. I'm not a big fan of micro services. But one nice feature is that they are small and usually quite easy to grasp. That makes putting new people on them to do some changes a lot more feasible. A big monolith is much more complex. I'm torn between building nice monoliths and doing micro services. IMHO for a small team micro services a
Read the rest
re rarely worth the complexity and overhead and I like the simplicity of having a nice monolith. However, with multiple teams in bigger organizations, it's a better fit. The risk to watch there is Conway's law where your org chart and architecture start resembling each other. The key risk here is the constant staff changes that necessitate having a speedy onboarding and ensuring there is a path forward when key people leave. Complex monoliths are a risk in such situations. Simplicity and predictability are key here. This does not have to translate into ORM but it often does. IMHO with modern languages and framweorks, there's a trend for more code that does what it says vs. annotation code where all the magic happens in annotation processors that are opaque. This is playing out in the Spring community right now where the latest trend is using Kotlin DSLs to replace annotations and annotation processors. A side effect is that this allows using the graal vm to get rid of JVM startup overhead. Part of that is losing ORM. E.g. the experimental Ko-Fu framework for Spring is taking that to the extreme: https://github.com/spring-projects/spring-fu
In Software Architecture Is Overrated, Clear and Simple Design Is Underrated

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