Today, we're announcing that we've improved a feature that brings together modern tools, applies those tools to a well-scoped problem for which they are adequately suited, and reduces friction within your team's development lifecycle! It did those things before, but now you can talk to it! Our CI/CD Review AI feature is now conversational, and ready to be your new interactive assistant for debugging. What does it do? The CTO.ai platform was built to reduce friction within your software development lifecycle by helping you shape a Developer Experience that grows with the evolving needs of your ..read more

The most impactful bugs in a codebase can often be some of the smallest. We’ve all been there—a semicolon is missed or parentheses become mismatched or a single variable is swapped for another with a similar name, and the next thing you know, you just lost an hour combing through your code character-by-character to find the culprit—the inevitable consequence of the imperfect perceptions of a squishy human brain. Context-switching only amplifies the problem, making it even easier for abnormal problems to escape your attention. Fortunately, large language models (LLMs) provide an effective inte ..read more

We introduced Code Review AI to make it easier for any team to rapidly iterate and solve problems from day one—developers should be spending their time on building features, not debugging existing code! To better enhance your Developer Experience, we have made our Review AI conversational. Now, when our Review AI bot provides your team with feedback, you can ask for clarification and deeper explanations if you're unsure about the feedback you've been presented. What benefit does this provide? Our goal is to introduce features that help your team reduce friction throughout your development wor ..read more

When you configure the infrastructure for your cloud-native application using our Developer Control Plane, our Secrets and Configs Stores can be used to store the runtime values your application needs to function. Because these values are so critical to your application’s functionality, we’ve enhanced how you can audit the changes made to your configuration by tracking the context of every change that’s made. This new feature is already available and enabled in your account! If deployments for a certain application begin failing unexpectedly, for example, you can review the Configs and Secret ..read more

When teams and organizations work together, one of the critical aspects of working with cloud resources is ensuring that the right people have the right access to the correct resources. This article will explore how to use Google's Identity and Access Management (IAM) and CTO.ai's configs management tool for a secure and efficient onboarding process. Google Cloud IAM Google Cloud IAM is a unified credential and access policy management system that offers access controls and visibility for centrally managing cloud resources. With IAM, you can set permissions on specific resources, helping enfo ..read more

Virtual Private Clouds (VPCs) provide a secure environment for your resources, isolating them from public access while facilitating inter-resource communication. Managing VPCs effectively is pivotal for ensuring the security, performance, and flexibility of your deployments. Today, we'll dive into how CTO.ai enables straightforward VPC network configuration management through its deployment tooling. Prerequisites GCP account A created project on GCP Docker installed on your local machine A CTO.ai account CTO.ai GCP workflow is installed on your machine, and Ops CLI installed. Pulumi Token in ..read more

In today’s agile development landscape, continuous integration and continuous deployment (CI/CD) have become fundamental practices for modern software deployments. CTO.ai stands as one of the industry leaders in this arena, offering seamless integration and deployment pipelines. Integrating CTO.ai with AWS CloudWatch for alerting can enhance your pipeline by notifying you about the build status and any anomalies that may occur during the build process. In this blog post, we will walk you through the process of setting up AWS CloudWatch alerts for CTO.ai builds step by step. Prerequisites Befo ..read more

Introduction Container orchestration has become a useful technique for deploying, scaling, and managing containerized applications. However, efficiently directing traffic into these containers remains a challenge. This blog post delves into container-native load balancing using Ingress, a powerful tool for routing traffic to services within a Kubernetes cluster. We'll explore the concept, benefits, and how to implement it, complete with code configuration examples. Understanding Container-Native Load Balancing Traditional load balancers operate at the infrastructure level, unaware of the appl ..read more

Prometheus, an open-source system monitoring and alerting toolkit, can be a cornerstone in setting up a robust alerting mechanism to facilitate this. In this blog, we will delve deep into creating custom alerting solutions using Prometheus and CTO.ai, ensuring that you have an efficient alert system that notifies you of potential issues before they escalate into more serious problems. Prerequisites Before we dive into this blog, ensure you have the following setups: CTO.ai account Helm installed in your K8s cluster Prometheus and Grafana are installed in your K8s cluster Kubernetes Cluster ..read more

As software delivery becomes more sophisticated, Continuous Integration/Continuous Deployment (CI/CD) practices are essential to maintain a consistent and efficient development lifecycle. One platform facilitating this process is CTO.ai, a CI/CD tool enabling developers to automate their workflows and enhance productivity. As we increase software deployments via automation, there's an associated risk of vulnerabilities and breaches. Thus, it's imperative to secure your CI/CD pipeline. This article aims to provide key steps to enhance security when using CTO.ai in your CI/CD pipeline. CTO.ai S ..read more