Latest updates and improvements
Authenticate the Cased CLI through your browser
The Cased CLI now supports web-based authentication for easier setup.
cased auth login and authenticate through your browserTrack LLM usage, costs, and latency across your applications
Cased Telemetry now includes LLM monitoring - track token usage, costs, and latency across all your AI integrations.
cased llm usage, cased llm cost, cased llm latencyAnalyze distributed traces to find slow spans, N+1 queries, and regressions
New performance analysis tools for distributed traces in Cased Telemetry.
cased perf slow, cased perf n1, cased perf regressionDe-minify JavaScript stack traces with source map support
Cased Telemetry now supports source maps for JavaScript stack trace de-minification.
cased sourcemaps upload to upload maps during your buildMajor improvements to agent performance and reliability
A major upgrade to agent performance and reliability.
AI-native observability - errors, metrics, and traces for agents
Introducing Cased Telemetry - AI-native observability built for agents, not dashboards.
There’s no Cased Telemetry dashboard. The API is the interface, and AI agents are the users.
Smarter tool selection using Anthropic's Tool Search API
Agents now use Anthropic’s Tool Search API for smarter tool selection.
Capture team knowledge through voice conversations with AI
A new way to capture institutional knowledge: voice interviews with AI.
New chat modes for flexible workspace layouts
The chat interface now supports floating and collapsed modes for more flexible workspace layouts.
Get notified when workflows complete via Slack or email
Workflows can now send Slack and email notifications when they complete.
Get AI-generated summaries of pull requests by mentioning @cased
You can now get AI-generated summaries of pull requests by mentioning @cased summarize in a PR comment.
Agents can now write and execute code in sandboxed environments
Agents can now write and execute code in isolated sandbox environments.
This enables agents to implement fixes, generate reports, and build tools autonomously.
eBPF-based Kubernetes observability with automated cluster monitoring and incident investigation
We’ve integrated Groundcover, an eBPF-based Kubernetes observability platform, enabling automated cluster monitoring and incident investigation.
No more switching between multiple dashboards to diagnose Kubernetes problems.
Automated workflow responses to Render deployment and service events
Render webhooks can now trigger Cased workflows automatically.
Connect your Render account and let agents handle deployment issues automatically.
Query traces, metrics, and deployment data from Honeycomb during incident investigation
We’ve integrated Honeycomb observability data into Cased, enabling agents to analyze incidents with full trace and metric context.
Configure CloudWatch alarms through natural language without opening the AWS console
Configure AWS CloudWatch alarms through Cased without navigating the AWS console.
Skip the AWS console clicks and let the agent handle alarm configuration.
Trigger workflows automatically from PagerDuty incidents
PagerDuty incidents can now trigger Cased workflows automatically.
Connect PagerDuty and let agents start investigating before you even look at the alert.
Query product analytics and user behavior data from PostHog
We’ve integrated PostHog product analytics, giving agents access to user behavior and feature usage data.
Monitor and manage Render deployments through AI agents
We’ve launched a Render integration for teams deploying on Render’s cloud platform.
Monitor Kubernetes deployments with ArgoCD sync status and health tracking
We’ve integrated ArgoCD for teams using GitOps-based Kubernetes deployments.
Infrastructure management for AWS CloudFormation stacks
Cased now supports AWS CloudFormation alongside Terraform and Pulumi.
Teams using AWS’s native IaC tool can now get the same automated management as Terraform users.
Real-time deployment updates and monitoring directly in Slack
Deploy monitoring now posts updates directly to your Slack channels.
Keep your team informed without leaving Slack.
Create your own automated workflows tailored to your infrastructure needs
You can now create custom workflows tailored to your organization’s specific needs.
Start with our default workflows or build your own from scratch.
Infrastructure management for Pulumi stacks with drift detection and code generation
Cased now supports Pulumi alongside Terraform for infrastructure-as-code management.
One agent for all your IaC needs, regardless of which tool you use.
Programmatic access to Cased agents for custom integrations and automation
We’ve launched the Cased Agent API for programmatic access to agents.
Automated AWS cost analysis that identifies optimization opportunities and tracks spending patterns
The Infrastructure Cost Analysis workflow monitors your AWS spending and identifies cost optimization opportunities with specific dollar savings potential.
This workflow examines actual cloud usage to find oversized instances, unused resources, inefficient storage, and opportunities for Reserved Instances. Each finding includes current monthly costs, potential savings, implementation steps, and risk assessment.
Configure daily analysis for active cost management or weekly for standard monitoring. Results can be delivered to Slack channels or viewed in your dashboard.
Key findings:
Automated AI workflows that continuously monitor your infrastructure and codebase for issues
We’re excited to introduce Workflows - automated AI processes that provide 24/7 monitoring and analysis for your infrastructure operations.
Workflows run on schedules you define (daily, weekly, monthly) or trigger automatically from external events like Sentry errors or deployments. Each workflow uses AI to analyze your systems, identify issues, and can start other workflows to fix problems.
Configure workflows in your dashboard to run autonomously while you focus on building.
Automatically analyze Sentry errors and start resolution sessions with AI-powered root cause analysis
The Sentry Error Analyzer workflow automatically analyzes new Sentry issues and works to solve problems in separate sessions.
When Sentry webhooks notify of new errors, this workflow immediately examines the error message, stack trace, and relevant code to identify root causes and create actionable resolution steps. It handles runtime errors, import failures, configuration issues, database problems, and API integration failures.
Key features:
Install the public “cased” Sentry integration to enable automatic error analysis.
Automated Terraform code quality analysis for maintainability, module design, and best practices
The Terraform Best Practices workflow reviews your infrastructure-as-code for quality, maintainability, and adherence to Terraform best practices.
This workflow analyzes code organization, naming conventions, module design, documentation quality, and version management. It identifies opportunities to improve code reusability, consistency, and long-term maintainability of your infrastructure definitions.
Schedule weekly reviews for standard development or configure custom directories for targeted analysis. Integrate with GitHub to automatically review pull requests.
Key areas analyzed:
Automated analysis of Terraform code for cost optimization opportunities and financial efficiency
The Terraform Cost Optimization workflow analyzes your infrastructure-as-code to identify cost optimization opportunities before resources are deployed.
This workflow examines Terraform configurations for oversized resources, expensive storage configurations, inefficient networking setups, and missed opportunities for Reserved Instances or Savings Plans. It provides cost estimates and specific recommendations to reduce spending.
Configure weekly analysis to catch cost issues during development or run on-demand before major deployments. Target specific directories containing your most expensive infrastructure.
Key optimizations identified:
Automated analysis of Terraform code for monitoring, disaster recovery, and operational reliability
The Terraform Operational Excellence workflow analyzes your infrastructure-as-code for operational reliability, monitoring coverage, and disaster recovery preparedness.
This workflow examines Terraform configurations to ensure proper CloudWatch alarms, backup strategies, multi-AZ deployments, and monitoring setups. It identifies gaps in operational readiness and provides specific recommendations for improved reliability.
Schedule weekly analysis to maintain operational standards or run before major infrastructure changes. Configure specific directories to focus on critical production systems.
Key areas analyzed:
Automated security analysis of Terraform code for vulnerabilities, authentication issues, and data protection
The Terraform Security Analysis workflow scans your infrastructure-as-code for security vulnerabilities before they reach production.
This workflow examines Terraform configurations to identify overly permissive IAM policies, unencrypted resources, public exposures, weak authentication, and network security gaps. It provides exact file locations, risk assessments, and specific remediation code for each finding.
Schedule it daily for active development or weekly for standard security reviews. Configure specific directories to analyze and integrate with GitHub for automatic scanning.
Key capabilities:
Automated SOC2 compliance analysis workflow that scans Terraform code and AWS resources for violations
The SOC2 Compliance workflow automatically scans your infrastructure to identify SOC2 compliance violations in both your Terraform code and live AWS resources.
This workflow analyzes your infrastructure for common compliance issues including:
The workflow examines Terraform files in your repositories using GitHub integration, then validates actual AWS resource configurations through your connected AWS accounts. It identifies specific violations with exact file paths, line numbers, and AWS resource ARNs.
Each finding includes:
Configure the workflow to run weekly, daily, or on infrastructure changes. Results can be delivered to designated Slack channels with customizable severity thresholds.
Visualize your AWS infrastructure with interactive dependency graphs
Understanding complex infrastructure relationships is easier with our new infrastructure graph visualization.
Agents can now create custom, interactive data visualizations to better communicate insights
We’ve enhanced our agents with powerful data visualization capabilities. Agents can now generate custom, interactive charts and graphs on-the-fly to help you better understand your data.
When analyzing data, agents can now create visualizations that best represent the insights they discover.
This feature is automatically available in all agent sessions - just ask your agent to visualize any data.
New table view for agents with advanced filtering, status indicators, and improved organization
We’ve redesigned the agent list view to make it easier to manage and track your AI agents.
This is the start of the changelog.
Going forward, we’ll use this space to share:
Check back regularly to stay up to date with everything new in Cased!