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  • Technical Practices as a Hack on Consciousness: Why to Hack Yourself

    Software technical practices are usually adopted as a means of creating better products. These practices can create and maintain a healthy human system. Technical practices raise the consciousness of individuals and the team as a whole. Technical practices hack consciousness giving us a quick, deep chute into depths of connection that improve our selves, our products, and our world.

  • Using Templates to Transform Web Service Results into Markup

    The HTTP-RPC open-source Java framework returns results in JSON by default, but can use the CTemplate system to respond with custom markup. In this article, Greg Brown shows how simple annotations can be used to automatically respond to a web service in any markup (HTML, XML, CSV, etc.).

  • Chris Fregly on the PANCAKE STACK Workshop and Data Pipelines

    InfoQ Interviews Chris Fregly, organizer for the 4000+ member Advanced Spark and TensorFlow Meetup about the PANCAKE STACK workshop, Spark and building data pipelines for a machine learning pipeline

  • Getting Started with ASP.Net Performance Monitoring and Optimization

    “This web page is slow” is a common and regular complaint about web sites, especially since web applications started replacing desktop applications. While the web brings some desirable characteristics such as global delivery, it also brings its share of challenges at the performance level.

  • Christine Doig on Data Science as a Team Discipline

    Christine Doig spoke at this year's OSCON Conference about data science as a team discipline and how to navigate the data science Python ecosystem. InfoQ spoke with Christine about challenges data science teams need to address to be more effective.

  • Q&A with Diomidis Spinellis on Effective Debugging

    The book Effective Debugging by Diomidis Spinellis describes 66 different approaches for effective debugging of applications and systems. It provides methods, strategies, techniques, and tools for finding and removing faults, and gives examples for using them in different settings.

  • So, How Do You Make Agile Successful?

    It is not Agile's fault, it is your fault - Are you fed up with such statements? This article tries to provide a more constructive answer on how to make Agile successful. It first shows how Scrum can be harmful, then argues how Agile requires different skills on both product and delivery levels. It suggests to use CICD to counteract Scrum's traps and stresses the importance of systems thinking.

  • Creating RESTful Services with T4 Based on Model and Interfaces

    When generating RESTful services with WebAPI, a lot of boilerplate code has to be implemented. Amel Musić demonstrates how T4 and EnvDTE can be used to create a flexible code generator that dramatically reduces the amount of time and effort this takes.

  • How Startups Get Software Built

    For most startups, technology is a critical differentiator—the bridge between a consumer’s pain puddle and a startup’s revenue stream. The software is the thing that gets the idea off the cocktail napkin and into the customer’s hand. How do startups do it right? Fail, pivot, fail, pivot, repeat forever (and do it all FAST).

  • JUnit 5 - An Early Test Drive - Part 2

    JUnit, Java's most ubiquitous testing framework, is getting an update. In part one of our JUnit 5 coverage, we looked at how we got here and wrote some preliminary tests. In part two, we take a closer look at how to run tests and at some of the very cool new features JUnit 5 brings to the table for us developers.

  • Starcounter vs. ORM and DDD

    The so-called “object-relation impedance mismatch” has long been discussed in engineering circles. Most attempts at a solution rely try to mask the issue by pulling logic into the application tier. Kostiantyn Cherniavskyi looks at these issues and shows how many of them can be solved with hybrid databases such as Starcounter.

  • F# in Numbers: A Look at the Annual F# Survey Results

    In April, for the second time, fsharpWorks organized the F# community survey. Over 600 developers completed the survey in 2016 (which is 15% more than in 2015). The survey provides an insight into the brains of the F# community. In this article, I'll summarize some of the results.

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