Best Free AI Tools for DevOps in 2026
This is the thinnest-rated category we have covered, and saying so is more useful than pretending otherwise.
Of the four tools below, one has an aggregated rating and three have none. Not low ratings, none at all. That is not a mark against them, it is what happens to infrastructure tooling adopted by engineers from GitHub rather than bought through procurement, and it means this comparison has to rest on what the tools do and what they cost.
What the ratings can and cannot tell you
Aggregated by Toolradar.
| Tool | Aggregated rating | Reviews |
|---|---|---|
| Cursor | 4.7 | 319 |
k8sGPT, Pulumi AI and Harness AI carry no aggregated rating.
One row. We could pad this table by finding adjacent products with similar names and quoting their scores, which is exactly the trap we walked into with Apollo in our GraphQL guide and STORM in our research assistants guide. A rating attached to the wrong company is worse than no rating, because it is persuasive.
So: one number, and it belongs to a code editor.
The prices, verified
Checked against Toolradar's pricing records on 18 and 19 August 2026.
| Tool | Free tier | First paid tier | Price checked |
|---|---|---|---|
| k8sGPT | Free, open source | Pro, $29/month | 18 Aug 2026 |
| Cursor | Hobby, $0 | Pro, $20/month | 19 Aug 2026 |
| Pulumi AI | Free, 5M Neo tokens/month | Team, $40/month up to 10 users | not in directory |
| Harness AI | Free tier | quote only | not in directory |
Pulumi's Team tier at $40 for up to ten users is the only per-team rather than per-seat price here, which for a platform team of six is $40 against Cursor's $120. Worth noticing in a category where everything else is billed per person.
Harness quotes everything above the free tier, so there is no verified number to publish.
k8sGPT, the one built for this job
k8sGPT is the only tool in this article designed specifically for infrastructure diagnosis rather than adapted to it.
It scans a Kubernetes cluster, finds what is broken, and explains it in English. Not "CrashLoopBackOff", but which container is failing, why, and what the likely cause is. For anyone who has watched a junior engineer stare at a pod status they cannot decode, the value is immediate and obvious.
It is free and open source, checked 18 August 2026, with a Pro tier at $29 a month for the hosted operator and management features. Self-hosted, it costs a cluster you already have.
No aggregated rating, which given its adoption among Kubernetes operators says more about review directories than about the tool.
Its limitation is scope. It knows Kubernetes deeply and knows nothing else. If your problems are in Terraform, in CI, or in a cloud provider's IAM, this does not help.
Cursor, the general-purpose one you already have
Cursor is a code editor, and it is on this list because a startling proportion of modern operations work is editing text files: Terraform, Helm charts, Kubernetes manifests, CI pipelines, Dockerfiles.
For that work it is the most useful tool here. Ask it to add a health check to twelve deployments, or to convert a Docker Compose file into a Helm chart, and it does the mechanical part correctly while you check the judgment.
Hobby is $0, Pro is $20 a month, checked 19 August 2026.
Its 4.7 across 319 reviews is the only real evidence in this article, and it measures Cursor as an editor rather than as a DevOps tool. Read it accordingly.
The thing it cannot do is see your infrastructure. It reasons about the file, not about the cluster the file describes, and the gap between those two is where most production incidents live.
Pulumi AI
Pulumi lets you write infrastructure as code in real programming languages rather than in a DSL, and its AI layer generates that code from a description.
The free tier includes 5 million Neo tokens a month, which is a meaningful allowance rather than a demo, and Team is $40 a month for up to ten users.
The genuine advantage over prompting a general model for Terraform is that Pulumi's AI works against the actual provider schemas, so it is far less likely to invent a resource property that does not exist. Anyone who has debugged a confidently hallucinated Terraform block will recognise why that matters.
The caution is the same as everywhere in infrastructure: generated code that provisions real resources should be read line by line before it is applied. The failure mode is not a compile error, it is a correctly-provisioned thing you did not want, billed hourly.
Harness AI
Harness is a full delivery platform, with the AI layer spread across pipeline generation, deployment verification and cost management.
It has a free tier and quotes everything above it, so we cannot publish a price. It is also the only tool here aimed at replacing a stack rather than joining one, which makes it a different kind of decision: not "should I add this", but "should we move our delivery pipeline".
The interesting piece is deployment verification, watching metrics after a release and rolling back automatically when they degrade. That is a genuinely useful application of the technology and it is not something the other three attempt.
Where AI helps in operations, and where it does not
Worth being specific, because this category attracts more marketing than most.
It helps with translation. Compose to Helm, CloudFormation to Terraform, a shell script to a pipeline definition. This is mechanical, verifiable, and tedious, which is the ideal combination.
It helps with explanation. Decoding an error, a status, a log line you have not seen before. k8sGPT is built entirely on this and it is the best-realised idea in the article.
It helps with the first draft. Generating the shape of a manifest or a module that you then correct is faster than starting empty, provided you are qualified to correct it.
It does not help with judgment about your system. Whether this service should scale on CPU or on queue depth, whether this database can take the load, whether this change is safe to deploy on a Friday. Those depend on context that is not in any file, and the tools will answer confidently anyway.
It does not replace understanding. The most expensive incidents in operations are caused by someone applying a change they did not understand. A tool that generates plausible infrastructure code faster makes that failure mode cheaper to reach, not rarer.
Choosing
You run Kubernetes: k8sGPT, free, and it is the clearest win in this article.
You write infrastructure as code, which is everyone: Cursor at $20, and it is probably already installed.
You use Pulumi: its AI, and note the $40 team price against per-seat alternatives.
You are replacing a delivery platform: Harness, as a platform decision rather than a tool one.
And treat the empty rating column as information rather than an omission. In this category the review directories have nothing to say, which means the evaluation is yours to do. All four have free tiers precisely because their vendors know that.
Why this category has no reviews
The empty column above is worth one section, because the same pattern will apply to whatever tool replaces these next year.
Review directories are built around a purchasing process: a company evaluates vendors, buys a licence, deploys it to staff, and someone in that chain is later asked to write a review. Every step of that assumes a buyer distinct from the user.
Infrastructure tooling does not work that way. k8sGPT arrives because an engineer read about it, ran it against a cluster on a Tuesday, and told the team. There is no purchase, no procurement, no deployment to people who did not choose it, and therefore no review. The tool can be in use at thousands of companies and register nowhere.
This has two practical consequences.
A missing rating is not a red flag in this category. It is the expected state, and treating it as a warning sign would rule out most of what working operations teams actually use.
The substitutes for a rating are better here than elsewhere. Open source projects publish their own evidence: commit frequency, issue response times, release cadence, the number of contributors who are not employees. Fifteen minutes on a repository tells you more about whether a tool will still be maintained next year than a directory score ever could, and unlike a rating it cannot be gamed by asking happy customers to fill in a form.
For k8sGPT and Pulumi, both open, that check is available to you right now. For Harness, quoted and closed, it is not, which is its own kind of information.
Related: free CI/CD tools, free monitoring tools and free terraform and IaC tools.
