Tag Archives: agile

Fantasy: the self-organizing team

I wrote about this phenomenon in a different context about a week ago, but it’s come up again. Twice is a coincidence, three times is a pattern, right?

I was talking to a client the other day about a thousand things, in the space of half an hour. There were a few things that stung badly, but one of them was to the effect that I wasn’t managing the developers very well.

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Pair programming sucks. That’s okay.

Pair programming is fundamentaly as simple as it sounds, but in practice it has many layers.

You know, one way to look at Agile is to observe that it’s simply an attitude that recognizes that software is done by real people who have complicated personalities. Tasks don’t get done just because they’re next up on the Gantt chart, they get done because a human person has his or her head together enough to think clearly and figure them out.

That’s the nature of creative work. Thus, you’ll often find that production doesn’t equal resources multiplied by time on task. If you care about your project, cultivate the conditions that help yourself and others do their best work. And pairing, done well, helps bring about such conditions.

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Process, schmocess

Today I’m talking about two different kinds of Process. On the surface they’re very different, but both kinds exist to support you and protect you. They’re also similar because some people regard them as threats or compromises.

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Yeah, Jon gets it

Last night I had the pleasure of hearing Jon Stahl‘s introductory presentation on “Agile Explained” at a joint meeting of Cleveland IEEE and the Firmware Engineers of Northeast Ohio. The lighting was not so good for picture-taking on the LeanDog boat, so sadly there are no photos to share.

It was a nice crowd, although I’ve got to say one of the least diverse I’ve ever seen even at a technical event. Being mostly hardware and firmware engineers, they were skeptical about the idea of continuous deployment to production for obvious reasons; the guy sitting across from me used to design circuits for pacemakers! But they asked excellent questions, and in true Agile style Jon gave them The Simplest Answers That Could Possibly Work.

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On Releasing Early

Jason Cohen guest-posted in December 2009 on the great blog On Startups, disputing the startup cliche that it’s always good to release your product early. He makes a good case to the contrary, although like some commenters I don’t think the iPod is a fantastic counterexample. (I mean come on. It’s Apple. They can get away with wild new design ideas, it’s what they do.)

My attention was grabbed by one of the comments in particular, from Trevor Lohrbeer. He says, in part:

Selling the product before release can also have the advantage of financing the development while at the same time focusing on the customers who are willing to put their money where their mouth is. It gets rid of the biggest problem of eliciting feedback, getting feedback from people who will never buy your product anyway (or may never buy at a price you can make money at).

Which, it should not surprise you to know, reminds me of a story.

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80% of what?

I’m a big believer in the 80-20 Rule. If you haven’t heard of this, it’s the idea that almost everything you do yields 80% of the benefit with the first 20% of effort. Similarly, you’ll find that 80% of your sales come from a 20% subset of your offerings. Stuff like that.

Sure, it’s a back-of-envelope rule of thumb sort of deal, but still a useful planning concept. (I love heuristics.)

On Monday, I blogged to the effect that non-software startup companies be satisfied with commercial off-the-shelf software that satisfies 80% of the functionality they require… because that’s so much cheaper than embarking on a new project when you are already hard up for cash.

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The way I do the things I do

Over the past few years, I’ve studied what it means to market and sell professional services like mine. Honestly, I’m in a weird place with that, because I’m a huge geek (and still speak FORTRAN fluently) but a lot of what I do is what is sometimes, probably condescendingly, called the “soft skills” realm.

That makes it hard to answer that inevitable question, “So, what do you do?”

I used to reply with variations that started, “I’m a software developer” or “I’m a Unix guy.” But that doesn’t quite tickle the people who really need me.

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“Just Ship It.”

In my experience, most software-dependent startups fail because they never actually finish the software. It’s really that simple.

I’m trying to figure out how I feel about Jeff Atwood’s recent proclamation: “Version 1 Sucks, But Ship It Anyway.” As a connoisseur of Software Projects That Suck, I get Atwood’s point: you don’t really know what’s wrong with Version 1.0 until some real customers get to play with it and let you know what they think. I’ve often spent days or weeks perfecting a feature that nobody cared about! Why not save that time by getting feedback first?

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The silver’s all around you

This is a response to Peter Kretzman’s coherent and insightful blog post, “No silver bullets. Really!” You should go read that first. I’ll wait.

Peter’s post, in turn, is a response to the classic paper, “No Silver Bullet: Essence and Accidents of Software Engineering” by Fred Brooks, in which Brooks says that complexity in software development is essential, not accidental. You should read that too.

Now here’s what I think.

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Code Farming: Sprouting Some Methods

I am trying, with only partial success, to apply what I’ve learned in Working Effectively With Legacy Code by Michael C. Feathers.

Feathers is a huge advocate of test-driven development. He puts it out there on page xvi: “Code without tests is bad code.” He defines “legacy code” as, strictly speaking, any code that isn’t already under unit tests. At first it struck me as a funny definition, because obviously lots of code is written today–even by me–without unit tests, and how can it be right to refer to software nobody’s even thought of yet as “legacy”? But for purposes of the book it works.

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