Will AI Change Tech Workflows By 2026?

The end of Moore's law indicates that contemporary computer systems are growing sideways, instead of up, Cummins stated. The power is originating from more cores, rather than more transistors on the exact same chip. To make the most of these cores, programs need to do parallel execution at the hardware level. That implies concurrency in the shows design: Even on single-core chips, where parallelism isn't possible, concurrent programs was necessary for some type of workloads, such as I/O-heavy ones.

This is awkward since composing concurrent code can be infamously hard. Our industry is stepping up with more powerful abstractions and libraries, Cummins mentioned. In the Java area, we're seeing existing libraries such as Netty adding effective concurrency functions, and new structures such as Quarkus and Micronaut building on that to use developer-friendly concurrency.

InfoQ interviewed Holly Cummins about things software application designers might need to understand. Lots of modern spam filters are constructed on Bayesian analysis, which is a type of probability theory.

Some words show up frequently in spam emails, but are rare in great (" ham") emails. If one of those words exists, the likelihood that the email is spam notches up. The opposite is real too; some words just don't end up in spam e-mail but even though they prevail in regular interaction.

How Cloud Optimization Cuts Infrastructure Costs

: It's unwise to attempt and anticipate the future, however I can make some observations based on the past. Jevon's paradox informs us that effectiveness enhancements can result in increased consumption. Over the previous seventy years, the process of writing software application has actually ended up being a growing number of effective. Think of the leap in efficiency in between assembler and higher-level languages, or how open source structures function as accelerators.

Personally, I think the demand for software application will continue to increase, partly as a repercussion of the performance increases we're currently experiencing.

Cloud-native computing takes benefit of numerous contemporary software advancement techniques consisting of microservices, containers, CI/CD, nimble methods, and devops. By Scott Carey and Josh Fruhlinger Dec 19, 2025 11 minsAgile DevelopmentCloud ComputingDevops.

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Breaking News in Agile Software Engineering

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Will Automated Network Governance Improve Your Enterprise?

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