Codetown
Codetown ::: a software developer's community
Best Ruby I.D.E?
Just started with Ruby on Rails ( Rails 3) and I'm trying to figure out the best I.D.E. Here's what I've found so far:
Eclipse / DLTK - while researching this on the web I came across a number of broken links which was a bad sign and when I did get it installed I wasn't able to debug using it. Ater some more web searches I came across a few posts that said basically the Ruby plug-in had run out of steam and was not being pursued.
JetBrains/RubyMine - this installed and works, so far the *looks* like the best bet. The instant database diagramming looks really cool, do other I.D.E.s support this?
Ecliplse/Aptana - just got this installed, Will try debugging with it soon.
Does anyone have recommendations for their favorite I.D.E.? I don't need anythgin too fancy, as long as I can set a breakpoint and view variables and the call stack I'm happy. And it helps if its a free product.'
Views: 650
Replies to This Discussion
-
Permalink Reply by Michael Levin on
-
Kevin, What have you found out so far with Eclipse/Aptana and JetBrains/RubyMine? Have you experimented with any other IDE's?
-
-
Permalink Reply by Kevin Neelands on
-
With Eclipse/Aptana I *think* I got installed, but the online references that showed how to start a debugging session accessed menu options that were not present so I was unable to use it. So far RubyMine looks the best, it also checks the syntax of of .html.erb ( Embedded RuBy ) files and generates a diagram of your DB tables, highlighting any relationships that look hinky. Worth noting RubyMine costs money, while the others I've looked at are open source and frankly I think the developers for the free plugins ran out of steam. The profit motive at work.
-
Happy 10th year, JCertif!
Notes
Welcome to Codetown!
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
Looking for Jobs or Staff?
Check out the Codetown Jobs group.
InfoQ Reading List
Anthropic Launches Claude Platform on AWS
Anthropic has announced the general availability of Claude Platform on AWS, a new deployment option that gives AWS customers direct access to Anthropic’s native Claude platform using AWS authentication, billing, and monitoring services.
By Daniel DominguezAirbnb Implements Context-Aware Identity Model to Support Privacy-First Social Features
Airbnb has redesigned its identity system to support privacy-first social features in Experiences. The platform introduces context-specific profiles that separate global user identity from externally visible profiles, preventing cross-context linkage. The migration leveraged automated auditing, manual validation, and AI-assisted refactoring to enforce correct identity usage across services.
By Leela KumiliJEP 533 Tightens Exception Handling in Java's Structured Concurrency for JDK 27
JEP 533, Structured Concurrency, has reached integrated status for JDK 27. It refines exception handling and type safety in its API, particularly focusing on exception flow with a new ExecutionException type. Changes include an updated Joiner interface and a new open overload for easier configuration. The steady evolution signals ongoing development as feedback shapes the API.
By A N M Bazlur RahmanPresentation: What I Learned Building Multi-Agent Systems From Scratch
Paulo Arruda discusses Shopify’s evolution in AI adoption, moving from simple chat tools to a sophisticated swarm of specialized agents. He explains the transition from massive "all-in-one" prompts to lean, narrow-focused agent microservices that slash task times from hours to minutes. He also shares a future-looking hypothesis on using filesystem-based adapters to solve context bloat.
By Paulo ArrudaArticle: The Mathematics of Backlogs: Capacity Planning for Queue Recovery
Backlogs in distributed systems are arithmetic problems, not mysteries. This article provides practical formulas for calculating backlog drain time, sizing consumer headroom, and setting auto-scaling triggers. It covers key failure modes — retry amplification, metastable states, and cascading pipeline bottlenecks — plus when to shed load instead of draining.
By Rajesh Kumar Pandey
© 2026 Created by Michael Levin.
Powered by
