OpenAI's new naming system simplifies model selection, enhancing efficiency and clarity for developers and impacting AI market dynamics.
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In order to build data centers in Massachusetts, developers will have to supply or procure 100 percent clean energy, pay for grid and water impacts, mitigate health impacts and establish community benefit plans.
Enterprises may soon be paying as much for their developers’ AI token usage as they do for their salaries.
According to Gartner, these costs will meet, or even exceed, the typical software engineer’s monthly salary within the next two years.
This is not only because developers are increasingly adopting generative AI and agentic tools, it reflects a trend toward consumption-based licensing models as vendors balance infrastructure investments with profitability. Rather than the flat per-seat SaaS model of the past, enterprises now pay for developer token use as well.
Gartner senior principal analyst Nitish Tyagi explained that it’s important to note that Gartner’s prediction is based on a global average salary of $2,000 per month; it doesn’t mean AI token usage will exceed all salaries. For instance, in the US, yearly pay rates can be six digits or more.
However, that kind of spend is not out of the realm of possibility, Tyagi emphasized. “I have heard scary numbers like ‘My developer co
Unless you’ve been living under an old woodpile in your backyard, you have certainly seen how agentic coding is rocking the software development world. Things are happening fast and furious, and keeping up is practically a full-time job.
The latest area that is catching the attention of developers is how agentic coding is affecting the open source community. The open source movement has been defending the rights of folks to use, change, and contribute to software for many years. And of course, agentic coding is starting to become part of that process.
On the one hand, maintainers of open source projects rightfully are frustrated as they become overwhelmed with pull requests of dubious quality and usefulness being submitted by coding agents. On the other hand, as David Heinemeier Hansson notes, maintainers are starting to get a little snooty about accepting AI-written code, viewing it as somehow not worthy of being included. Some organizations have explicitly banned AI-generated submis
DataRobot now supports the Agentic Resource Discovery Specification, making DataRobot Agent Skills easier for AI clients, registries, and developers to find. Agents are only as useful as the capabilities they can reach. A coding agent can write code. A workflow agent can call tools. An enterprise agent can reason across systems. But all of that...
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AI coding agents are making it easier than ever to produce software. Ensuring that software is secure before deployment is another matter — one that AWS thinks AI should help with too.
As enterprises adopt agentic development workflows, the volume of first-party code being created and modified is rising rapidly. Yet the process of validating vulnerabilities, determining whether they are exploitable, and fixing them often still depends on developers and security teams working through findings manually.
AWS is aiming to address that imbalance with Continuum, a new service designed to continuously discover, investigate, and remediate vulnerabilities in enterprise environments, whether the code is their own or from third parties.
Rather than simply generating alerts, the service is intended to help enterprises move findings through the entire remediation lifecycle, AWS VP of Security and Observability Chet Kapoor wrote in a blog post.
For first-party applications, Continuum can analyze cod
Bitcoin Core privacy updates remove wallet RBF fields and patch a BIP324 leak, as wallet-fingerprinting research hits ~50% accuracy. What devs should change now.