Artificial intelligence (AI) has revolutionized everything from copywriting to medical imaging, but it’s a huge time-saver for development teams, too. If your DevOps team is looking for a magic wand to boost security and accuracy, you need an AI tool.
This isn’t just a nice-to-have, either. AI-powered coding tools enhance the software development lifecycle, making continuous integration and delivery more efficient. They even have the firepower to automate workflows for the most complex development projects. ?️
In this guide, we’ll break down what you should look for in an AI tool for DevOps and share the 10 best generative AI tools of 2024 for development teams.
10 Best Generative AI Tools for DevOps Teams in 2024
An AI tool for DevOps is designed to optimize and streamline the development process. The mechanics differ by tool, but they usually leverage machine learning algorithms to:
- Analyze datasets
- Simplify code generation
- Predict and fix vulnerabilities
- Suggest remediation strategies
Some generative AI for DevOps can even help with real-time monitoring, automate repetitive tasks, and offer code reviews to improve code quality. Whether you’re worried about workflow efficiency, security, or quality, AI tools are in your corner every step of the way.
What Should You Look for in Generative AI for DevOps?
Maybe you’re getting by with OpenAI’s ChatGPT for now, but this AI tool probably doesn’t have enough power for all DevOps applications. DevOps can get pretty technical, so we recommend looking for generative AI tools with functionalities like:
- Integrations: The more your solutions integrate with each other, the less you’ll have to flip between different tools—and that’s a huge time-saver. Look for generative AI models that integrate with your existing repositories and other SaaS solutions
- Automation: Automation is AI’s high-powered sidekick. Trigger-based automation rules make it easy to customize and automate workflows, eliminating bottlenecks for good
- Scalability: Some AI tools can’t handle a lot of requests, and that’s a problem for enterprise teams. Look to the tools with AI in DevOps designed to keep up with your growing application performance demands
- Reports and analytics: Are you a data-driven team? Get a machine learning tool that gives you real-time insights into performance metrics, your team’s work pipeline, and more by using AI. If it can conduct root cause analysis for performance issues, that’s even better
- Security: This is a must for any team, but security is especially important for software development teams. Not all AI tools are transparent about data protections, so look for a tool with certifications or some kind of assurance that it handles sensitive information properly
Finding a solid AI tool for software development is tough, but look no further—we did the research for you. Check out these platforms to add generative AI for DevOps to your development toolkit.
1.
might be the world’s favorite project management solution, but it’s also a solid platform for software development teams. Think of it as an all-in-one work hub for managing teams, tools, and knowledge. Rely on for issue tracking, sprint backlogs, and tracking real-time progress.
Boost collaboration—even for 100% remote DevOps teams—with Mind Maps.
This cloud-based tool makes it a cinch for software teams to optimize workflows before jumping headfirst into a project. You can even convert your genius brainstorming document into actionable tasks with a single click. ?
If you’re looking for an AI tool for DevOps, we’ve got that, too. Tell AI you’re a developer, and the tool creates custom suggestions for your work.
Use the AI tool for product ideas, roadmaps, product documentation, or user stories—the possibilities are endless.
best features
- integrates with the Git tools you already know and love
- Save time and organize projects quickly with the Software Development Template
- Use Automations to simplify your workload with no-code dependencies
- Track performance metrics in Goals to monitor your budget, project milestones, and more
- Using AI tools in is very simple and has a personalized touch for all different departments and work types
limitations
- AI is only available to paid plans
- has a lot of features, so it can take a little time to get used to the platform
pricing
free forever
Best for personal use
Free Free
Key Features:
unlimited
Best for small teams
$7 $10
Everything in Free Forever plus:
business
Best for mid-sized teams
$12 $19
Everything in Unlimited, plus:
enterprise
Best for many large teams
Get a custom demo and see how aligns with your goals.
Everything in Business, plus:
* Prices when billed annually
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ratings and reviews
- G2: 4.7/5 (9,000+ reviews)
- Capterra: 4.6/5 (3,800+ reviews)
💟 Bonus: Brain MAX is your AI-powered desktop companion built to supercharge your coding workflow. With voice-first productivity, you can simply describe bugs, request code snippets, or brainstorm solutions out loud—Brain MAX instantly captures your input and gets to work. Its deep integration with your coding tools and project files means it understands the context of your codebase, helping you debug faster and find relevant documentation or past fixes in seconds.
What really sets Brain MAX apart is access to multiple leading AI models (LLMs) for advanced problem solving. Whether you need help refactoring code, generating test cases, or tackling complex logic, Brain MAX leverages the best AI brains for the job.
2. CodeGuru
Need to lock down your systems? Amazon CodeGuru security is designed for detecting and fixing vulnerabilities in your code. It uses machine learning and automated reasoning to remove code inefficiencies, boost security, and decrease compute costs.
CodeGuru offers generative AI for DevOps in the form of automated code analysis. Using an AI tool like this helps you automatically flag vulnerabilities like SQL injections, credential issues, and request forgeries.
If you aren’t sure what you’re looking at, CodeGuru will explain the basics of a vulnerability, what’s at stake, and how it will adjust your code to be more secure with machine learning.
CodeGuru best features
- Simply upload your code, and CodeGuru will automatically display a list of recommendations
- CodeGuru supports Java, JavaScript, Python, C#, TypeScript, and IaC languages
- It integrates with GitHub, GitLab, Bitbucket, and several AWS products
- CodeGuru automatically closes fixed bugs in your tracking system
CodeGuru limitations
- CodeGuru doesn’t have a lot of reviews for AI in DevOps specifically
- CodeGuru is a stand-alone DevOps tool, so you’ll still need to hop from platform to platform to do your actual work
CodeGuru pricing
- Free
- $10/month for 100,000 lines of code and $30/month for each additional 100,000 lines of code
- $10/month for two full repository scans
CodeGuru ratings and reviews
- G2: 5/5 (1 review)
- Capterra: N/A
3. Datadog
Datadog is an application performance monitoring (APM) tool. If you deploy in the cloud, Datadog’s software development tool gives you the power to correlate traces with telemetry, making it easier than ever to do root cause analysis.
Not only does it pull all code health metrics and dependencies into one table, but using AI tools like Datadog will proactively improve your application by setting up specific monitors and tests with the help of ai and machine learning.
Datadog best features
- Do distributed tracing from browsers to backend services and databases
- Rely on Bits AI to query data, streamline remediation, and prevent future issues
- Datadog offers turnkey integrations with SAP, Active Directory, Git, and more
- Build interactive dashboards with real-time data
Datadog limitations
- Several users wish Datadog offered synthetic monitoring
- Others say the documentation is lacking
Datadog pricing
- Free
- Pro: $15/month per user, billed annually
- DevSecOps Pro: $22/month per user, billed annually
- Enterprise: $23/month per user, billed annually
- DevSecOps Enterprise: $34/month per user, billed annually
Datadog ratings and reviews
- G2: 4.3/5 (430+ reviews)
- Capterra: 4.6/5 (230+ reviews)
4. Sysdig
Cloud security isn’t easy, but Sysdig wants to make your cloud as secure as possible. It focuses mostly on cloud detection and response, vulnerability management, and permissions, but Sysdig also offers generative AI for DevOps. Try the Sysdig Sage chatbot to break down knowledge silos and act faster in the face of a threat. ?
Sysdig best features
- Sysdig Monitor analyzes the cloud and Kubernetes with a managed Prometheus service
- See all potential risks in a dashboard to understand your risk posture
- Using AI runtime Insights to prioritize and mitigate risks creates a more manageable process for development and operations teams
- The Cloud Attack Graph lists real-time threats so your team can take immediate action
Sysdig limitations
- Sysdig focuses more on cloud security, so it doesn’t include features for code optimization, templates, or project management
- Several users say Sysdig’s dashboards and data sources aren’t easy to manage
Sysdig pricing
Sysdig ratings and reviews
- G2: 4.8/5 (50+ reviews)
- Capterra: 4.4/5 (7 reviews)
5. Snyk
Snyk uses DeepCode AI to offer real-time security intelligence. It locates and automatically fixes vulnerabilities in your code to give you greater peace of mind. Snyk supports an impressive number of languages and integrations, but its AI tool for DevOps is nothing to sneeze at, either.
Use Snyk AI to write secure code, test it, and review it before deployment.
Snyk best features
- Snyk Code adjusts your code in real time for vulnerabilities
- Snyk offers IaC tools to fix cloud misconfigurations
- The platform offers container and Kubernetes security
- Snyk Open Source does software composition analysis for easier risk management
Snyk limitations
- Some users say implementation and integration is tricky
- Others say Snyk’s automatic remediation isn’t foolproof for some software development needs
Snyk pricing
- Free
- Team: $52/month per user, billed annually
- Enterprise: Contact for pricing
Snyk ratings and reviews
- G2: 4.5/5 (110+ reviews)
- Capterra: 4.8/5 (15+ reviews)
6. PagerDuty
PagerDuty offers a lot more than an AI tool for DevOps. This is a digital transformation solution for everything from process automation to customer service.
Its generative AI tool automates provisioning, access management, and project post-mortems.
PagerDuty best features
- Use AI to write status updates
- PagerDuty groups alerts into single incidents for faster remediation
- This platform takes a service-based approach that’s perfect for prioritizing customer-facing issues
- PagerDuty centralizes incident response with context, runbook information, and remediation information
PagerDuty limitations
- The number of alerts makes it hard to determine what’s important and what’s not
- Some users say the complex platform has a big learning curve
PagerDuty pricing
- Free
- Professional: $21/month per user, billed annually
- Business: $41/month per user, billed annually
- Digital Operations: Contact for pricing
PagerDuty ratings and reviews
- G2: 4.5/5 (800+ reviews)
- Capterra: 4.6/5 (200+ reviews)
7. Harness
Harness claims its clients build projects four times faster with their help, which is no small feat. This AI tool for DevOps uses artificial intelligence to verify deployments.
Its AIDA AI assistant helps build and troubleshoot, but it can also generate cloud asset policies through natural language processing (NLP).
Harness best features
- Harness allows cloud-native deployment without the need for scripting
- It automatically verifies and troubleshoots failed deployments
- Harness integrates with GitHub, Bitbucket, GitLab, Azure Repos, and more
- Build for any architecture in any language with Harness
Harness limitations
- Some users say the setup is confusing
- The platform isn’t very intuitive or user-friendly
Harness pricing
- Free
- Team: $100/month per service
- Enterprise: Contact for pricing
Harness ratings and reviews
- G2: 4.6/5 (40+ reviews)
- Capterra: 4.7/5 (9 reviews)
8. Atlassian Intelligence
Are you all-in on Atlassian products? If so, check out Atlassian Intelligence. This AI tool for DevOps is available across several Atlassian products, including Jira and Confluence.
It combines institutional knowledge, converts queries into JQL or SQL, and more. ?
Atlassian Intelligence best features
- Ask the chatbot to find files for you
- Summarize Confluence meeting notes
- Use Atlassian Intelligence to define work in Jira
- Get 24/7 help from the Jira Service Management team for all things Intelligence
Atlassian Intelligence limitations
- Atlassian Intelligence is only available for Atlassian products
- It’s still in beta, so there aren’t a lot of reviews
Atlassian Intelligence pricing
- Included in Atlassian products
Atlassian Intelligence ratings and reviews
9. Kubiya
Kubiya says it’s the “ChatGPT for DevOps,” so if that’s what you’re looking for, you’re in the right place. Powered by a large language model (LLM), Kubiya spots holes in your workflow, manages tickets, and stores institutional knowledge.
Kubiya best features
- Quickly add the Kubi assistant to your Slack channel
- Create tickets from Kubi conversations
- The knowledge base integrates with Confluence, Notion, and GitBook
- Kubiya gets smarter the more you interact with it
Kubiya limitations
- It doesn’t have a lot of reviews
- Kubiya doesn’t come with tools for DevOps project management, templates, or collaboration, so you still have to use other platforms to do your work
Kubiya pricing
- Free
- Team Plan: $40/month per user, billed annually
- Enterprise: Contact for pricing
Kubiya ratings and reviews
10. Dynatrace
Dynatrace bills itself as an AI-powered analytics and automation platform. It uses causal AI to go beyond typical machine learning responses and truly mimic human intelligence. Use Dynatrace for business analytics, no-code automations, security, and infrastructure observability to balance security with performance.
Dynatrace best features
- Dynatrace Davis uses a multi-AI model for observability and security
- Pull real-time business analytics, and Dynatrace will offer optimization suggestions
- Automatically track hybrid and cloud environments
- Conduct root cause analysis
Dynatrace limitations
- Some people report tricky UI and performance issues
- Others wish Dynatrace had more integrations
Dynatrace pricing
- Full-Stack Monitoring: $0.08/hour for 8 GiB host
- Infrastructure Monitoring: $0.04/hour for any size host
- Application Security: $0.018/hour for 8 GiB host
- Real User Monitoring: $0.00225/session
- Synthetic Monitoring: $0.001/synthetic request
- Log Management & Analytics: $0.0035 per GiB query
Dynatrace ratings and reviews
- G2: 4.5/5 (1,100+ review)
- Capterra: 4.5/5 (40+ reviews)
Better DevOps Workflows Are a Click Away
From bugs to vulnerabilities to complex projects, your DevOps team has its plate full. Why not press the easy button with AI tools for DevOps?
combines an AI tool, project management, metrics, workload planning, and more into a single platform. Spend less time managing finicky tasks and focus on what matters—your code.
But we know seeing is believing. Create your Workspace now—it’s free, and there’s no credit card required. ?
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