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GitHub Copilot Pulls Drawstring On Tighter Developer Usage Limits

GitHub Copilot is popular. The AI-powered code completion tool (originally developed by GitHub and OpenAI) works to give software application developers a so-called “AI pair programmer” buddy that offers suggested code snippets and (when called upon) entire functions – and it happens directly within an engineer’s Integrated Development Environment (IDE) of choice. All of which means that GitHub Copilot isn’t just popular in terms of total usage; the tool is reporting an increase in patterns of high concurrency (individual developers performing similar operations, but more likely different developers requesting the same types of functions) and intense usage among power-users. No Foul Play, Probably The GitHub blog itself doesn’t necessarily point the finger at nefarious usage techniques – the team understands that spikes “can be driven by legitimate workflows” here – but indirect prompt injection (placing malicious instructions inside a public repository or pull request) could ex...
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Ten Great DevOps Job Opportunities

DevOps.com is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted as part of an effort to better serve our audience. Our goal in these challenging economic times is to make it just that much easier for DevOps professionals to advance their careers. Of course, the pool of available DevOps talent is still relatively constrained, so when one DevOps professional takes on a new role, it tends to create opportunities for others. The 10 job postings shared this week are selected based on the company looking to hire, the vertical industry segment and naturally, the pay scale being offered. We’re also committed to providing additional insights into the state of the DevOps job market. In the meantime, for your consideration. LinkedIn PTC Boston, MA Principal DevOps Engineer $160,000 to $185,000 Lightfeather Alexandria, VA GCP Cloud/DevOps Engineer $160,000 to $180,000 Deloitte St. Louis, MO DevOps Engineer $110,00...
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Dynatrace to Acquire Bindplane to Process and Route Telemetry Data

Dynatrace this week revealed it has agreed to acquire Bindplane , a provider of a platform for pre-processing and routing telemetry data. Bob Wambach, vice president of market and customer insights for Dynatrace, said the addition of the Bindplane platform will further accelerate a rapid expansion of the log management capability that Dynatrace already provides. However, instead of requiring all telemetry data to be processed in the backend on its observability platform, IT teams will have the option to pre-process that data to reduce costs and streamline workflows, he added. Additionally, Dynatrace is committed to ensuring the Bindplane platform remains agnostic after the acquisition closes this month, which means IT teams will be able to route telemetry data to multiple backend systems, noted Wambach. While there has been some debate over the merits of using, for example, an OpenTelemetry agent to pre-process telemetry data, the massive expansion of the amount of telemetry data ...
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CloudBees Delivers on AI Promise to Improve Application Testing

CloudBees has made generally available an add-on for continuous integration/continuous deployment (CI/CD) platforms that uses artificial intelligence (AI) to determine which tests should be run first based on the likelihood there will be a failure. Shawn Ahmed, chief product officer at CloudBees, said CloudBees Smart Tests eliminates the need to run an entire testbed. Instead, this extension to a CI/CD platform surfaces which specific tests are likely to fail, which allows a DevOps team to run them first rather than waiting hours, or sometimes even days, to run an entire suite of tests, noted Ahmed. Additionally, DevOps teams can run those tests in parallel to further reduce the amount of time required to vet an application workload, which in turn reduces the overall amount of CI/CD processing overhead, added Ahmed. That capability is now especially critical in the age of AI as the amount of code being generated continues to exponentially increase, he noted. In fact, because most...
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How Much Is That AI Subscription In My Windows?

Inference might be agreed to be the new battleground where the next AI winners emerge, but even before we reach that brave new frontier, the fight is on at the intelligence cash register. The fight for licensing and subscription deals continues apact this month. Anthropic’s popular Claude Code has been at the forefront of many issues in this space with developers reportedly using up their entire month’s usage limits in days, sometimes even hours. Single Prompt Sinkhole Claude Code user Pristine_Ad2701 posted on Reddit to explain that their $100 plan was almost swallowed up by a single simple code requisition prompt. “One prompt and it uses 37% [of my] 5-hour limit, after writing literally NORMAL things, nothing complex, literally, CRUD operations, switching to sonnet, it was currently on 70%,” they wrote. None of which really tallies with what the company is stating in official terms. According to an SSD Nodes blog, “According to Anthropic’s own data, the average Claude Code u...
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Google’s Scion Gives Developers a Smarter Way to Run AI Agents in Parallel

Running multiple AI agents on the same project sounds straightforward — until they start stepping on each other. Different agents accessing the same files, sharing credentials, or colliding on the same codebase can quickly turn a promising setup into a coordination nightmare. That’s the problem Google set out to solve with Scion. Scion is an experimental multi-agent orchestration testbed built to manage concurrent AI agents running in containers across local machines and remote clusters. Google recently open-sourced the project, giving developers a hands-on way to experiment with parallel agent execution across tasks like research, coding, auditing, and testing. Think of it as a control layer that keeps agents working together without getting in each other’s way. What Makes Scion Different Most agent frameworks treat AI as a library or prompt-chaining script that runs directly in your environment. Scion takes a different approach — it treats agents as system processes, wrapping ...
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Appknox Adds AI Tool to Detect and Fix Vulnerabilities in Mobile Applications

Appknox today added an ability to apply artificial intelligence (AI) to assess vulnerabilities in the binaries used to construct a mobile application and recommend a fix that can be passed on to an AI coding tool to implement. Company CEO Harshit Agarwal said KnoxIQ provides an AI copilot to more accurately assess how exploitable a vulnerability within a mobile application is versus relying on a generic Common Vulnerability Exposure (CVE) score. Once assessed, it then becomes possible to recommend the best way to remediate that vulnerability using whichever AI coding tool a software engineering team has adopted. The key difference is that Appknox is able to continuously analyze compiled applications based on runtime behavior rather than static code alone to provide more accurate detection of vulnerabilities, said Agarwal. While the degree to which application developers have adopted AI may vary, the one thing that is clear is the way vulnerabilities are patched is fundamentally ...
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