Skip to main content

Posts

Gemini CLI Plan Mode Separates Thinking From Doing — and Makes Read-Only the Default

The pattern across AI coding tools this week has been clear: the industry is building governance, review, and safety mechanisms as fast as it’s building capabilities. Google’s latest contribution is plan mode for Gemini CLI, announced March 11 , and now enabled by default for all users. Plan mode puts Gemini CLI in a read-only state where the agent can navigate your codebase, search for patterns, read documentation, and map dependencies — but it cannot modify any files except its own internal plans. The agent researches your request, asks clarifying questions, and proposes a strategy for your review before any code changes are made. The idea is simple: Think before you act. The implementation has some features that make it more interesting than it sounds. How it Works Enter plan mode by typing /plan , pressing Shift+Tab, or asking the agent to “start a plan for” whatever you need. Gemini CLI restricts itself to read-only tools — read_file , grep_search , glob — and can use s...
Post a Comment
Read more
Recent posts

Five 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 five 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. Dice.com Randstad Digital Manual Woburn, MA Senior DevOps Engineer $178,132 to $178,150 SimplyHired.com Central Reach Holmdel, NJ Senior DevOps Engineer – Cloud Security $160,000 to $180,000 I...
Post a Comment
Read more

Survey: AI Coding Exacerbates Existing DevOps Workflow Issues

A global survey of 700 software engineering practices published this week finds that thanks to increased reliance on artificial intelligence (AI) coding tools, well over a third (35%) are either achieving daily or more frequent product deployments, with 36% deploying software multiple times per week. However, more than half (51%) also noted AI-generated code leads to deployment problems at least half the time. Conducted by the market research firm Coleman Parkes on behalf of Harness, the survey also finds more than three quarters (78%) admit they have fragmented delivery toolchains, with 70% of respondents also conceding their pipelines are plagued by flaky tests and deployment failures. More than three-quarters (77%) said teams often need to wait on others for routine delivery work before they can ship code and only 21% said they can add functioning build and deploy pipelines to an environment in under two hours. Nearly three quarters (72%) also said they have hardly any standar...
Post a Comment
Read more

Low-Code’s New Frontier: Tailored Solutions for Each Industry

For years, most low-code platforms have focused on one primary challenge: efficiency . The goal was to help teams build applications faster and with less effort, reducing manual coding, speeding up iterations, empowering non-developers, and enabling apps to be created in just a few clicks. That focus delivered real value, but it’s no longer enough. Today, the low-code conversation is shifting. While automation and speed still matter, they are no longer what sets platforms apart. The next phase of low-code is about fit—how well a platform supports the real-world needs of specific industries. This new frontier moves beyond simply closing productivity gaps or automating workflows. It’s about building applications that reflect the realities of regulated environments, complex data models, existing systems, and industry-specific processes. Low code is becoming more context-aware . As a result, industry alignment is emerging as a key differentiator. Platforms that understand the nuances...
Post a Comment
Read more

The Risk Profile of AI-Driven Development 

In the cloud-native ecosystem, velocity is everything. We built Kubernetes, microservices, and CI/CD pipelines to ship faster and more reliably.   Now, AI coding assistants and autonomous agents are pushing that accelerator to the floor. What started as simple code completion has evolved into tools that draft requirements, generate Helm charts, scaffold microservices, and optimize CI/CD pipelines.   For those who care deeply about security hygiene, and especially dependency management, this acceleration requires a hard look at how we manage risk. When an AI agent can scaffold a microservice in seconds, it also makes dozens of architectural and dependency decisions in the blink of an eye.   Let’s discuss how the risk profile of development is shifting in the AI era, and how we must adapt.   The Pain Points: Dangerous Autonomy   Rapid Decision Velocity and Massive Volume   In traditional workflows, selecting a third-party library or container base im...
Post a Comment
Read more

How eBPF and OpenTelemetry Have Simplified the Observability Function 

While many IT and engineering leaders understand the benefits of a comprehensive observability practice , achieving full visibility still presents some challenges. For example, instrumentation for new applications or off-the-shelf software often can be a time-consuming and complex process. As a result, engineering teams can be led to avoid observability in certain parts of their environments. When hurdles to observability exist and subsequently halt these efforts, systems are in more danger of disruptions or going completely dark. This can lead to serious business consequences such as financial losses, legal issues, and damage to brand reputation.   OpenTelemetry eBPF Instrumentation (OBI) makes getting this data a cinch. It allows engineering teams to confidently lean into observability without any manual setup steps. Consequently, teams can rapidly gain visibility into their services and infrastructure.   The Challenges to Complete Visibility    There are...
Post a Comment
Read more

AI Is Forcing DevOps Teams to Rethink Observability Data Management

As AI coding tools accelerate software delivery, they are also intensifying a problem DevOps and SRE teams have been dealing with for years: the unchecked growth of observability data. In this conversation, the founders of Sawmills argue that telemetry volume is no longer just a cost issue. It is becoming a data quality problem that affects how effectively teams can monitor systems, troubleshoot incidents and make sense of production behavior. Ronit Belson and Erez Rusovsky describe how the rise of AI-generated code is making observability harder to manage. Instrumentation is often treated as an afterthought, which means more logs, metrics and traces are being generated without much discipline around relevance, quality or downstream impact. The result is familiar to many DevOps teams: rising observability bills, more noise in monitoring systems and growing difficulty separating useful telemetry from unnecessary data. Rather than waiting until data lands in production systems and...
Post a Comment
Read more