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hcoles
pitest
Java2021–2025
hcoles / pitest

pitest

State of the art mutation testing system for the JVM

2Distinct people
2Mentions
0Explicit recommenders
1.9KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

State of the art mutation testing system for the JVM

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 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM 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 year2 dated mentions

Observed mentions: 2021-03-10 18:31:55 UTC to 2025-02-19 12:06:05 UTC.

012021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20232024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025

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
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC101
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
20252025-01-01 00:00:00 UTC2026-01-01 00:00:00 UTC101

What Hacker News says

2 sources
I think most of the tools on the second line are not highly applicable to a Kubernetes operator, or otherwise would just use the "Cloud Native way of doing things". Something like JRebel would generally be a big no-no for Kubernetes, where the container image of the operator is expected be immutable (at least in terms of the code running in there). It may or may not be okay for developing an operator, but that's certainly venturing into a bit of an unknown territory. VM agents and JMX are usually replaced by explicitly adding Open Telemetry support and/or a Prometheus endpoint. It's certainly more boilerplate and manual work, but so many more things are explicit in Go, that's just something you've got to buy into. If you're using Rust or Typescript this could be a lot more automated but that's not the case for Go. Advanced profiling is pr
Read the rest
obably something you'd have to give up, but I doubt a Spring shop would be deeply into profiling. The low hanging fruit is to just throw away spring and get an immediate 200%-400% performance boost. But the JVM is still a more mature platform. Throughput is better on the JVM than on Go and some things are very troublesome in Go (basically anything that requires code generation). My personal "cool tool" that I can run on the JVM but doesn't have a mature equivalent in Go is PIT[1] for mutation testing. But not everybody will be using mutation testing, just like not everybody will be using JRebel or JMX. And it doesn't mean everybody should. If you're a Spring a shop the thing you'll be probably missing most in Go would be things like Dependency Injection, Java-like ORMs, reflection magic and Spring Configuration Server. [1] https://github.com/hcoles/pitest
In One year after switching from Java to Go

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