No one writes perfect code: even the best developers fall into bad habits and traps. These topics from The Productive Programmer illustrate blind spots and helps you write better code.

It is too easy to get into a coding slump and not realize it. This talk revitalizes your relationship to code, forcing you to rethink some of the thing that you take for granted and showing new approaches to solving hard problems. It covers topics that range from improve the overall structure of your code to the way you write JavaBeans, with lots of examples. Everything in this talk may not be new to you, but I guarantee that you'll see some things that will make you reevaluate the way you think about your code.

Session Outline:

1. TDD
2. Static Analysis
3. Good Citizenship
• getters and setters
• Constructors
• Static State
4. YAGNI
5. Occam and His Razor
6. Question Authority
• DSLs
• JavaBean Specification
7. SLAP
8. New Languages
9. Every Nuance
10. Anti-objects

What does code + methodology have to do with one another? Everything! Agile projects focus on delivering working code, and tools exist to allow you to verify some quality metrics for your code. This session is a survey of tools and metrics that allow you to determine the quality of your code and strategies to "wire it" into your agile project.

Agile projects focus on delivering code. The responsibility for the quality of that code lies with developers. Yet most developers have a poor sense of how to gauge the quality of code, both during development and forensically. This talk lives on the boundary between what is important in agile projects and ways to verify code quality. It is both a survey of tools and metrics and strategies for proactively applying these techniques to ongoing projects. I talk about the Hawthorne effect, analysis tools (both byte and source code), useful metrics, tools for generating metrics, and how to analyze raw data into actionable tasks.

Session Topics:

• The Hawthorne Effect
• How Agility and Metrics Feed Each Other
• Analysis Tools
• FindBugs
• PMD/CPD
• Testing Metrics
• Cyclomatic Complexity
• Chidamber and Kemerer Object-oriented Metrics
• JDepend
• Code Change Risk Analyzer and Predictor for Java
• Panopticode
• Tools

The Gang of Four book should have been entitled "Palliatives for Statically Typed Languages", because the recipes it provides are cumbersome solutions to the problems it poses. Using powerful languages makes the solutions in the GoF book look hopelessly complicated. This session shows how to solve the same problems concisely, elegantly, and with far fewer lines of code using the facilities of dynamic languages.

The Gang of Four book was actually 2 books: a nomenclature describing common software problems and a recipe book for solutions. The vocabulary they defined is still useful. The recipes are a disaster! Dynamic languages (like Groovy and Ruby) have powerful meta-programming facilities far beyond statically typed languages. It turns out that many of the structural design patterns in the Gang of Four book and beyond are much easier to solve with meta-programming. This session compares and contrasts the "traditional" approach of design patterns with a more nuanced meta-programming approach. Using language features creates cleaner abstractions with fewer lines of code and little or no additional structure. This session shows one of the many reasons that dynamic languages are such a hot topic.

Most developers think that "TDD" stands for Test-driven Development. But it really should stand for "Test-driven Design". Rigorously using TDD makes your code much better in multiple ways.

This session demonstrates how stringent TDD improves the structure of your code. I discuss TDD as a technique for vetting consumer calls, using mock objects to understand complex interactions between collaborators, and some discussions of improved code metrics yielded by TDD. This session shows that TDD is much more than testing: it fundamentally makes your code better at multiple levels.