Sara Chipps is a software programmer specializing in ASP.NET/C#/SQL.
My friend Lisa has a prejudice against those lip glosses that come in a little jar. The kind you dip your finger in and rub on your lips? She calls them little petri dishes, with all the bacteria and germs from your fingers just living in there waiting for their next home.
I see many similarities between lip gloss germ factories and corporate IT. There are good bacteria, and there are bad bacteria, but what they have in common is that they fester.
The good developers fester in frustration, the frustration of change request forms. The frustration of knowing the right thing to do, and not being able to do it until four months later when the “budget is there.”
The bad programmers fester in sloth, in the fact that their work goes largely unnoticed, and as long as their tie matches their shirt we can ignore the fact that their classes go on for days, their code is illegible and their methods bloated. In these environments you’re taught that to care is to waste time. The only thing that’s important is that it GETS DONE, not doing it right. A culture of apathy and wanton disregard for standards is enforced.
The biggest issue here is not the bad programmers, and it’s not the suffocated good programmers. As they say, “A fish rots from the head.” Management decides what the priorities are. If the priority is to “get it done so it works for now and ship it out,” you’ll get exactly what you asked for.
It starts at the top, when the CTO puts pressure on the IT Directors who put pressure on the Department Managers who in turn flip on their coders and turn the screws that bind them. Some symptoms of this are projects that are constantly coming back for work, deadlines that are constantly pushed, and the blame game from QA to the developers to the testers.
Can a large corporation have a healthy team? Yes. I didn’t used to think so, but I’ve kept my eyes and ears open. I haven’t experienced it, but I have met people that have shared their good experiences.
The friends I have in corporate IT who are happy have one thing in common: small teams. When you break up a big group into small teams, and hold the leaders of those teams personally responsible for the health of the team, it succeeds. When you give them the tools they need for success, when you make it about who is contributing the best, when managers take the time to examine who is touching the code — and IF what they are doing is the best solution — that’s when you can succeed.
When you allow for enough time and budget to make sure that things only need to be done once, and changes can be easily made, that’s when you can succeed. A book entitled The Five Dysfunctions of a Team is a great place to start if you are looking to do so. I can imagine it’s hard work, but when you look at companies like Microsoft and Google the reward is obviously worth it.
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2020
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.