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Jeffrey Palermo (.com)

Blog moved to www.jeffreypalermo.com

July 2006 - Posts

  • Hiring technical people, take 2 - level 100

    This is a planned follow-on to my first post on hiring.  In my first post, I talked about the general process I like to go through when hiring a new programmer.  Of course, you can bet that this is continually evolving based on what works and what doesn't.  So far, this is working very well.

    When hiring, you obviously want to ask all kinds of questions, but I have to admit, I agree with a popular mantra that many speak about, including Joel Spolsky:  "Smart people who get things done."  Smarts isn't everything.  Take me, for example.  I know so many people who are smarter than me, hands down, but I make up for it with drive and persistence. :-)   "Getting things done" isn't everything either, because I've known my fair share of those people as well.  Sure, the system works (now), but with the "smart" in there, it could be a big jumbled mess that's a maintenance nightmare.  I believe the two go together.

    How the heck do I determine if the candidate is a good mix of the two?  Ha ha.  No easy answer there either.  I have to use my own experience to weight everything the candidate has to offer.  Some reference checks can help to determine the mix.  Some phone screen questions can contribute as well.  For me, I think the coding assignment can help determining the "smart" part.  I'm not fond of assignments like "create a Roman number converter" because that mostly tests procedural programming skills.  While there is value in that as well, I've preferred to ask them to do a little something with a technology that they have no experience in.  I leave it open-ended.  Using every available resource, this is downright easy for a smart person, and it should be because I need to respect their time.  It has the potential, though, of saving an interview for a candidate we wouldn't hire.

    Getting things done:  I think questions can bring this out.  It seems like it almost a mentality of getting things done as opposed to talking about getting things done.  Stories of past projects can help with this factor.

    What else is pertinent in a candidate I'm looking for?  Ignorance of something!  What?  Did I read that correctly?  Yes.  If there is something the candidate doesn't know, he is human.  If the candidate is so well-versed in everything, then he's kidding himself.  Very few people are like that, and they certainly don't have to interview.  Real people don't know things.  Real people are constantly learning.  Someone who is slow to admit ignorance might be hard to work with.  From personal experience, the more I learn the more I realize how much I have to learn.  Does that scare anyone else but me?  I hope so, but it's real.  Remember the teenager syndrome?  Teenagers know everything!  In fact, they know little, but are foolish enough to think they know everything.  Wise folks reject this notion as time progresses.  I'm impressed with someone who can talk about the things he doesn't know.  This shows me that he can recognize gaps in knowledge that need to be filled.

    Continual learning is another biggie for me.  Someone who is constantly learning impresses me.  I ask what technical things the candidate is reading/studying.  Answers that include books, magazines, etc are all good.  Nowadays, podcasts are in that boat too.  If a candidate struggles and finally comes up with an article they ran across "last week", I get suspicious and follow up on the topic.

    There are so many different techniques to find good people, and there is no way I can know them all, but I continue to learn. :-)

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  • Hiring technical people, take 1 - level 100

    With unemployment at essentially ZERO these days, it's hard finding the best people, especially skilled knowledge workers like programmers.  Every company needs programmers, so the good ones who happen to be looking are few and far between.  By contrast, the mediocre to poor programmers are abundant and available.  Wading through the duds to find the right guy can be a daunting task. 

    In-person interviewing is the most expensive part of searching for new employees.  It requires real time from the people in the department.  Each time a candidate is turned away because of an interview, the company has lost time and money.  The trick is to keep the bad candidate from making it to the in-person interview.  I've recently employed a few techniques to minimize time spent by my team on interviews.  My goal was to bring a candidate to interview only if I felt we would be making an offer.  Here are the things to do to weed out the folks who are unlikely to make it to the offer stage:
    • Do a technical phone screen on every candidate.  Ask basic questions about levels of experience on required technologies and 3rd party libraries.  For instance, if your team uses 3rd party tools like CruiseControl.Net, Resharper, NAnt, NUnit, SVN, NHibernate, Rhino Mocks, etc, then it's a plus if a candidate has used some of them.  This phone call should also ensure that you aren't wasting each others' time.  Make sure the candidate is interested in the kind of team you are running.
    • Given them a "take home test".  Make the questions appropriate for the technology (no insulting trivia).  Good questions are ones that a good programmer could answer easily.  The duds will fail the test, and you will have saved some time.
    • Ask for a sample of code including code and SQL.  What they give you is a good indication of the types of things they have worked on and are confident in. 
    • Give a coding assignment.  Call it an audition if you wish.  This can be any small coding task, but make it a prerequisite to the interview.  The interview is the most expensive part of the recruiting process.  I like to find a technology the candidate is not familiar with and ask them to produce something with it.  This ensures that the candidate can pick up new things and produce quickly.
    I fully recognize that recruiting is not a science.  The worse thing to do, however, is to just talk in the recruiting process.  I'm going to ask my programmer to write complex software, and talking about it is little indication of that aptitude.  I prefer to see some example of the professed ability.  When a candidate easily progresses through all the above steps, it's pretty certain that the in-person interview will be a "getting to know you" gate that opens easily to an employment offer right away.

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  • Changing companies to pursue another opportunity - level 000

    Today is my last day at DataCert.  DataCert is a great company.  I had the pleasure of working in the Austin office with two great developers: Steve Donie and Jeremy Miller.

    I'm moving to Vital Insight, a software company specializing in Enterprise Risk Management.  I'm coming on board as their Director of Product Development.  I'll be helping them deliver new product features to market as quickly as possible.  We are working with the lastest in .Net technologies in the WinForms/C# space.

    We will be hiring incrementally as the product grows.  If you are interested in working on my team in Austin, TX, send me a note.
  • I love it when all the builds are green!

    My team uses CruiseControl.Net and CCTray to run and track all of our automated builds.  For a while, we couldn't get our largest test suite to pass all together.  Every test would pass individually, but all 1000+ tests wouldn't pass together.  Jeremy pulled a trick out of his hat, and now even that one works every time.  I love it when all the builds are green!

  • No Fluff Just Stuff panel discussion - level 100

    After lunch on Sunday, many of the speakers formed a panel, and we had a panel discussion.  One of the hot buttons was Java vs. Ruby.  Bruce Tate does all Ruby consulting, and it’s working well for him.  Others on the panel stress that Java and other strictly typed languages can still be wildly useful.

     

    One of the big points was that Ruby has turned the conversation from compiled/interpreted and strictly typed vs. dynamically typed to verifiable.  Ruby has proven that strict typing isn’t as important as working code.  The compiler has become a big spell-checker, but tests are the only thing that can verify that the program is actually working as expected.  Many times we have to add syntax to get the compiler to shut up.  What really matters is how the program runs.

     

    Venkat (author of Practices of an Agile Developer) added that many languages check typing at runtime.  For instance, Ruby does do type checking at runtime, but you don’t have declare types when writing the code.  Even with compiled languages with strict typing, he still wrote bugs and still had to write tests to verify his code.  He has changed his opinion about compilers and the need.  He says that in dynamic languages, he can speak less, but the computer can infer the rest from the context of the program.

     

    Scott Bellware asked the question of tool support in Ruby, and Bruce has acknowledged that the tool support isn’t there yet.  Bruce says that every language has grown up on the command line and then went to an IDE.  Bruce relates that some FUD is circulating that you can’t have refactoring or write-time help with a dynamic language.  The smalltalk browser was very strong, so that’s an example of a good IDE for that type of language.  There are some languages that are compelling enough for folks to use even before they have good IDE support.

     

    Ted Neward closed the panel with the following:  “If anyone disagrees with anything said on this panel, you are wrong!” :)

  • No Fluff Just Stuff: Testing with Selenium with Neal Ford - level 200

    On the 3rd day of NFJS, Neal gave a talk about testing with Selenium.  Selenium is a end-to-end testing solution for web applications.  This is testing on the customer acceptance level and not the unit-testing level.

     

    Selenium was developed by ThoughtWorks to test an application they were working on.  It grew out of an actual need.  The testing framework was good enough to open-source it.  They named it Selenium because it is the key mineral that protects the body from mercury poisoning (if you recall Mercury testing tools).

     

    With Selenium, tests run directly in the browser.  It supports most common browsers that are in existence today.  The test engine itself is written in JavaScript and runs directly in the browser.  It creates a compatibility layer across browsers.  Calling an API in Selenium will map to the right API in the current browser.

     

    It deploys a browser bot that runs alongside your application.  This bot can accept commands.  The bot is embedded in an IFrame.  Consequently, it will work with any javascript-enabled browser.  To use selenium, you must take the selenium folder and deploy it alongside the application.  This will be in a non-production environment, of course.

     

    There are two modes for Selenium:  TestRunner mode and Driven mode.  In TestRunner mode, the browser is driven inside the process.  In Driven mode, the Selenium can be driven from another process remotely.

     

    With TestRunner mode, Selenium is alongside the application.  The user can launch it and click the “Run Tests” button to run tests. 

     

    Selenium test case is a simple html table.  The first row is a title and can be ignored.  The next rows are the commands.  By default, it looks for tests/TestSuite.html. 

     

    You can run Selenium tests directly in a browser and watch it exercise your application at full speed or “walk” speed.  You can also step through.  If you need to run it from another process, you can use Driven mode to run it from Ant, Nant, Maven, CruiseControl or anywhere.  Once you have a big suite of tests, you’ll want to have it integrated with your normal build process.

     

    There is a Selenium IDE that can be used to record tests.  The IDE is an extension for FireFox at http://www.openqa.org/selenium/.  Selenium can test regular web applications as well as AJAX web applications.

  • NFJS: Cleaning up your code with Neal Ford – level 200

    Neal gave some great tips on improving code.  Here’s the rundown.  These are thoughts directly from Neal:

    Coding standards aren’t necessary.  They are just preferences that folks in charge force on underlings.  There are more important things than coding standards.  Tools can reformat code to some sort of standard.

    #1:  Naming things:  Use verbose variable names.  Don’t worry about having to type.  Modern IDEs give you these in a drop-down list, so you only have to type them once.  IntelliJ and Resharper will guess, and you don’t have to even type them once.

    #2:  Composed Method:  Comments.  Xml comments are sometimes useful if you need to generate documentation.  Intra-code comments are not necessary most of the time.  No one ever reads them, they smell, and they lie when the code around them changes (because no one updates them).  There is nothing that anchor line comments to the code they are supposed to describe.  At least Xml comments are anchored to the method.  So, if comments in code don’t help as much as we’d like, what can we do?  Make the method name be a long, description of what the method does, and no method should be longer than 5-15 lines of code.  All public methods should read as an outline of things that need to be done (and call private methods to get these things done).

    • Benefits of compose method
      • Stack traces become easier to read
      • Debugging is easer.  Instead of stepping over lines of code, you step over private methods that are little chunks of work.
      • It makes writing unit tests easier because you can fake out any step.
      • It makes it easier to identify generic methods that can be pushed up the inheritance hierarchy.
      • Once the method reads easier, line comments become redundant and unnecessary.

    #3:  Apply the Unix Philosophies:  By applying unix principles to software will make it better. 

    • Write simple parts connected by clean interfaces.
    • Clarity is better than cleverness.
    • Design programs to be connected to other programs
    • Separate policy from mechanism; separate interfaces from engines.
    • Design for simplicity; add complexity only where you must
    • Write a big program only when it is clear by demonstration that nothing else will do.
    • Design for visibility to make inspection and debugging easier.
    • Robustness is the child of transparency and simplicity.
    • Fold knowledge into data so program logic can be stupid and robust.
    • In interface design always do the lease surprising thing.
    • When a program has nothing surprising to say, it should say nothing.
    • When you must fail, fail noisily and as soon as possible.  (Don’t return null if something really bad happens).
    • Programmer time is expensive; conserve it in preference to machine time.
    • Avoid hand-hacking: write programs to write programs when you can.
    • Prototype before polishing. Get it working before you optimize it.
    • Distrust all claims for the “one true way”.
    • Design for the future because it will be here sooner than you think.

    #4:  Syntactic Stuff: 

    • If a constant is tied to a particular class, it should be defined within the class.
    • If a constant is not tied to a class, it should be tied to an interface.  Don’t implement a class for the constant.  You should use the constant through the interface name.
    • In Java, you can use the javax.print.attribute package and inherit from the EnumSyntax class.  Java 5 has native support for Enums as does .Net, but safe enumerations that are ranged-checked are important.
    • How to implement equals()
      • Use == to see if you have been passed yourself.
      • Use instanceOf to check the lineage of the object.
      • Check the equality of each field in your class.  If any test fails, return false.
    • Any time you override equals(), you should override GetHashCode(). 
      • If two objects are equal, they must return the same hash code. 
      • It’s not required that two unequal objects return different hash codes, but collection performance could suffer.
      • IntelliJ is smart enough to generate good equals() and hashCode() methods.  I’ll have to check to see if Resharper will do this.

    #5:  Orthogonality: the absence of side-effects.

    • Command/query separation:  You should not do two things under the guise of one.  Don’t calculate something if you name it “get”.
    • For example, in a Stack class, if you call “pop”, you remove something just to read it.  If an error happens, you’ve lost the object.  A more orthogonal approach would use a “top” method and “removeTop” method.

    #6:  Don’t repeat yourself.

    ·         DRY principle.  Every piece of information should have one authoritative representation.

    ·         If you have an NHibernate mapping, you could generate it from the database schema (if you have a 1-1 mapping). 

    ·         If you want documentation of your system, you should find a way to generate the documentation from the code.

    o       yDoc is a commercial documentation product that generates UML.

    #7:  The Methodology Rules

    ·         Don’t live with broken windows:  If you have a broken window, it indicates that nobody cares.  If you leave it there, your source code is fragile.  Your code will get stronger over time if you are adamant about automated testing and fixing broken windows.

    ·         From Agile Best Practices:

    o       YAGNI – You ain’t gonna need it.  If you aren’t absolutely sure you need it right now, defer it until later.
    o       Embrace changing requirements by:

    ·         Refactoring mercilessly

    ·         Set aside time every day to refactor code.

    ·         Refactoring is fun, and it is different from “regular” coding.

    ·         Automated testing.

    ·         Test coverage gives confidence that you have changed some code, and you haven’t broken anything.

    ·         Testing is a frame of mind, not a tool set.

    ·         Who cares if the test was written first or last as long as the code and test are written close together.

    ·         Applications tend to grow from the bottom up with small, little units of verified code.  The alternative is writing top down (which is hard).

    ·         Generate code coverage reports on your tests.

    #8:  Template method design pattern.

    • If you know what the algorithm should look like but don’t know the details, you can write the outline and defer the details to child objects.
    • It encourages your to define the general order of operations for some process in an abstract parent, then implement the details in child classes.
    • This works best when the code is small, cohesive, and discrete.
    • You should aggressively pull methods up the hierarchy and look for definable processes.

    #9: Bad Inheritance.

    • Inheritance is hard, so use composition instead of inheritance.  Encapsulate the type you were going to override and forward calls to it.
    • Inheritance is only applicable when the child “is-a” type of the parent in EVERY case.

    #10:  Use interfaces for decoupling

    • Whenever possible, define types and member variables as interfaces.
    • If you have a class that needs to act as two things, you can implement two interfaces.
    • Objects are more flexible because they can be treated as either a base class or an interface that’s implemented.
    • This allows libraries to be written that are not bound to specific classes.

    The result of all this is framework code and configuration.  Framework code is common code that’s pulled up.  The code with the details is configuration.  The end result is a domain specific language that comes out of the APIs that result.

    Neal’s final point is that code is the most important artifact we create.  If you create the most brilliant piece of software with not documentation and not bugs, you’ll be a hero.  If you create beautiful documentation without good software, you won’t be worth anything.

  • No Fluff Just Stuff comes to Austin – level 000

    This past weekend, the NFJS conference came to Austin, TX, and I’m glad it did.  Folks involved with a user group of some type got a good discount, so we spread the word.  This conference focuses on Java, Ruby, and Agility.  I was able to meet some great folks (list names).

    Saturday night I went to the speakers party at Bruce Tate’s house, and it was a great time.  Scott Bellware commented that Ted Neward looked like Jesus with his hair wet playing with the kids in the swimming pool.  I enjoyed talking with David Hussman about how to drive efficient software development into organizations.  David consults for companies and helps them improve their development practices.

    No Fluff Just Stuff is a small, local conference that has a better attendee to speaker ratio that other conferences, which have thousands of attendees.  This conference has about 250 attendees. 

    I’m going to post some more about the sessions I attended.

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