Tuesday, December 23, 2025
HomeSoftware DevelopmentOur prime trending opinion and evaluation articles from the previous yr

Our prime trending opinion and evaluation articles from the previous yr

-


Articles about AI dominated media protection in 2025, as the power to carry out extra than simply rudimentary duties grew into making software program improvement life cycle processes autonomous. The widespread piloting and implementation of generative AI, brokers and MCP servers had been among the many subjects that produced the highest trending articles on sdtimes.com this yr. However AI wasn’t the one factor on the minds of builders and their managers. Right here’s a have a look at the highest trending tales on sdtimes.com for 2025.

Essentially the most-viewed article this yr requested the query: “Is Agile Useless within the Age of AI?” Creator Adam Sandman, CEO of Inflectra, posited that Agile processes are in truth not useless, however are evolving. “The way forward for software program improvement isn’t Agile vs. AI, it’s Agile with AI. Strategic alignment, mentorship, and good governance guarantee that AI’s energy enhances security, maintainability, and long-term product worth.,” he wrote.

No. 2: 88% of corporations are considering leaving Oracle Java

SD Instances editor Jenna Barron dug right into a January report by Java platform supplier Azul Techniques that confirmed Oracle modified its licensing mannequin to base the fee on the variety of staff a corporation has, as a substitute of charging by the Java occasion in use. “Since then,” Barron wrote, “organizations have been considering alternate options, and 72% of respondents had been already occupied with it when surveyed in 2023.”

The report reveals that the highest 5 causes for wanting to maneuver on from Oracle embrace price (42%), desire for open-source (40%), Oracle’s gross sales techniques (37%), uncertainty round altering licenses and pricing (36%), and restrictive Oracle insurance policies (33%).

No. 3: AI coding productiveness positive aspects cancelled out by different friction factors that gradual builders down

“AI adoption is saving builders a big period of time, however a number of friction factors nonetheless exist all through the software program improvement life cycle that builders are nonetheless dropping time to,” Barron wrote from August research of developer expertise and engineering administration.

Atlassian’s 2025 State of Developer Expertise report confirmed, “So we’re proper again the place we began, with builders saving 10 hours every week utilizing AI and dropping 10 hours every week to inefficiencies. Bettering the developer expertise requires a scientific method to understanding and resolving developer friction factors.”

No. 4: AI gained’t change builders, however it would go away some behind

Dan Faulkner, CEO of Good Bear, wrote: When execs ask, “What number of builders can we minimize if we embrace AI?”— They’re asking the incorrect query.

The proper query is: How will we evolve our whole software program lifecycle to match the rate AI makes potential with out breaking belief or burning down high quality?

“The longer term doesn’t belong to groups that write essentially the most code. It belongs to those that ship essentially the most resilient, reliable, and scalable software program,” he wrote. “That future wants improvement groups. But it surely wants a distinct mindset and a distinct type of management.”

No. 5: Why AI brokers want a protocol like MCP to succeed in their potential

MCP can do for AI brokers what USB does for computer systems, Lin Solar, senior director of open supply at cloud native connectivity firm Solo.io, defined.

As an illustration, a pc wants a manner to hook up with peripherals like a mouse, keyboard, or exterior storage, and USB is a typical that gives that connectivity. Equally, MCP permits AI brokers to hook up with totally different instruments and knowledge sources, like Google Calendar. It gives “a typical solution to declare the instruments so the instruments might be simply found and might be simply reused by totally different AI functions,” she stated.

No. 6: Google goes all in on agent improvement, Gemini at Google Cloud Subsequent 25

At its Google Cloud Subsequent 25 occasion in April, Google introduced a lot of new bulletins, primarily associated to enhancing Gemini choices and making it simpler to construct and undertake brokers.

Among the many bulletins had been the discharge of ADK, Google’s Agent Growth Equipment; an Agentspace platform on which builders can construct brokers combining Gemini fashions, Google-quality search performance, and enterprise knowledge; and launched Google Workspace Flows, enabling customers to create agentic workflows to streamline processes and automate repetitive duties throughout Workspace.

No. 7: Containers in 2025: Bridging the hole between software program and {hardware}

Containers have lengthy been a preferred manner of packaging up and delivering software program, however many builders have additionally begun to discover utilizing containers in additional methods than initially supposed.

In a latest episode of the SD Instances podcast, What the Dev, Scott McCarty, senior principal product supervisor for Pink Hat Enterprise Linux, sat down with us to debate the developments he’s been seeing and in addition make predictions for what’s to return.

No. 8: tRPC vs GraphQL vs REST: Choosing the proper API design for contemporary internet functions

Software program engineer Kacper Mihalik contributed this information to SD Instances evaluating these applied sciences from a sensible engineering standpoint, after a number of years of constructing manufacturing methods with React and TypeScript.

“I’ve shipped REST, GraphQL, and tRPC APIs,” he wrote.  “Every possibility presents distinct strengths, with real-world tradeoffs builders and engineering leaders ought to perceive. … specializing in structure, sort security, toolchains, and developer expertise.

No. 9: The way forward for AI isn’t chat: Why person expertise will make or break the subsequent wave of functions

ChatGPT captured the world’s creativeness, however it might have additionally trapped it. The chatbot interface—with its acquainted conversational format—made AI accessible to thousands and thousands, demonstrating the outstanding capabilities of enormous language fashions (LLMs) in a package deal that felt pure and welcoming. But this very success has created a false impression: that AI equals chatbots, and that each utility wants a chat window to be AI-powered.

Peter Day, a common accomplice at tremendous{set} – a startup studio the place nice knowledge+AI concepts grow to be transformational software program corporations – wrote: “The way forward for AI isn’t about chat home windows. It’s about invisible intelligence woven seamlessly into how individuals work, making complicated duties easier and tedious work disappear. That future requires rethinking person expertise from the bottom up, not retrofitting chatbots onto present merchandise. The winners might be those that acknowledge this distinction and design accordingly.”

No. 10: OWASP High 10 up to date after 4 years, with lots of the similar issues nonetheless impacting functions

As SD Instances editor Barron reported in November, this yr’s up to date record options lots of the similar issues from the 2021 variations, with just a few notable adjustments, resembling Server-Facet Request Forgery, which was in final place in 2021, being rolled into the Damaged Entry Management class.

“Moreover, a brand new class, Software program Provide Chain Failures, was added and consists of Susceptible and Outdated Elements (#6 in 2021), and Mishandling of Distinctive Circumstances made the record for the primary time, containing CWEs associated to improper error dealing with, logical errors, failing open, and different associated situations,” Barron wrote.

Related articles

LEAVE A REPLY

Please enter your comment!
Please enter your name here

Stay Connected

0FansLike
0FollowersFollow
0FollowersFollow
0SubscribersSubscribe

Latest posts