

Find out in this report how the two AI Software Development solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
Faster root cause identification helped me resolve incidents more consistently and reduced the amount of manual debugging effort.
I have seen debugging time decrease by around 20 to 30% because I can trace the COBOL programs and also inspect the variables.
We are just pushing code from Git to GitHub, which then sends it to Spacelift, checking for drifts and starting continuous deployment.
The metrics show that fewer employees are needed, money is saved based on past experiences with different cloud management or Infrastructure as Code management tools, and efficiency has improved significantly in terms of Infrastructure as Code deployment.
Anything that reduces the amount of work needed to do repetitive tasks is a bonus.
Every time I open a case, I get an immediate response.
BMC AMI DevX's technical support responds very well and takes all cases seriously.
I think the hybrid CI/CD integration with existing enterprise DevOps tools in BMC AMI DevX is very good.
I have asked them various queries, and they provided perfect solutions along with good detailed documentation.
The customer support is fantastic as they reply over Slack immediately and get to work on a solution whenever I need them.
The SLO and SLA being really fast to answer.
From my perspective, I haven't seen BMC AMI DevX struggle in terms of workloads where it needs to be scaled up or scaled down.
It can support multiple developers for COBOL applications as they debug different problems without changing the overall development process.
It has been scalable for our mainframe development and support needs, handling large COBOL programs and large workloads.
Spacelift's scalability is very good as it scales very well with the environment because I can add agents to it with more workload, so it's quite excellent.
Spacelift can handle increased workloads well, managing more servers as our organization grows, and it is indeed scalable.
Based on the requests and the Linux Docker machines I provision, it becomes more stable, and the runs happen very quickly.
I would rate BMC AMI DevX as a stable solution that I have been using for years and find working fine.
BMC AMI DevX is very stable for a modern application processing huge workloads.
It has been reliable for COBOL debugging, code analysis, and troubleshooting production incidents.
Being able to step through the COBOL program, set breakpoints, and monitor variable values gives me a much clearer picture of what is happening during execution.
I have to put my cursor on the field and tap it to bring focus there, or use the tab key multiple times to get to a field on the screen.
To improve BMC AMI DevX, consideration should be given to cloud-style provisioning and development models, as well as integration of more AI capabilities.
It can improve areas in scalability and integrate some open-source tools.
The engineering team behind Spacelift is very responsive whenever I submit a feature request, and there's a very good chance I would see it within the next year.
The OPA policy writing is not very beginner-friendly either, and the error messages when a policy fails are not always clear.
The next standard plan costs three hundred ninety-nine dollars per month for ten concurrent users.
The spaces have been a major aspect of managing things, and the contacts for the resources I provide internally in Spacelift are quite affordable, effective, and useful.
My experience with pricing shows that the setup cost is reasonable, and the licensing also seems reasonable.
The CI/CD offering allows integration of quality checks and unit test processes into the pipeline, which improves compliance and enhances productivity, enabling developers to focus on development while the pipeline automates integration.
BMC AMI DevX's tools have affected my developers' productivity and efficiency by helping with the speed.
BMC AMI DevX positively impacts my organization with its modern VS Code and Eclipse development environment, integrated debugging, AI-assisted code understanding, automated CI/CD pipelines, and end-to-end mainframe DevOps workflow.
We can apply those policies in Spacelift, and the RBAC and access policies features are really excellent in Spacelift, which we do not find in any of the other competitor tools.
Spacelift has positively impacted my organization by reducing manpower, as it reduced the efforts of resources in the team, where previously a job done by two or three engineers can now be easily managed by one engineer using Spacelift.
You create so many different modules and so many different versions. Having a very easy way to navigate and search through them all, and the fact that you can actually see the commit ID and description really helps in discovering what was actually in that version of the module.
| Product | Mindshare (%) |
|---|---|
| Spacelift | 0.3% |
| BMC AMI DevX | 0.2% |
| Other | 99.5% |


| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 1 |
| Large Enterprise | 24 |
| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 3 |
| Large Enterprise | 8 |
BMC AMI DevX is a mainframe DevOps platform for IBM Z environments that helps development and platform engineering teams increase release velocity, reduce change risk, and build a sustainable mainframe developer workforce.
Whether the priority is attracting the next generation of mainframe talent, safely evolving decades of business-critical code, accelerating release velocity, or demonstrating development ROI to leadership — BMC AMI DevX is designed to address all on a single platform. Teams can connect existing tools and adopt capabilities incrementally using an open-borders integration approach.
A 2025 Forrester Total Economic Impact study found that customers using BMC AMI DevX onboarded developers 50% faster, completed code changes 33% faster, increased release frequency by 50%, and reduced change failure rate by 33%.
Key capabilities:
The Spacelift orchestration platform combines infrastructure provisioning, configuration, and governance to increase platform team efficiency, accelerate developer velocity, and control costs. It connects to and orchestrates infrastructure as code, version control systems (VCSs), observability tools, control and governance solutions, and cloud providers to help deliver secure infrastructure faster. With Spacelift Intelligence, teams can also understand, design, deploy, and govern infrastructure using natural language, giving developers a fast, governed path to infrastructure without adding to the platform team's backlog.
Infrastructure provisioning: Stacks ensure faster, more secure provisioning by automatically combining source code, current infrastructure state, and configuration. The platform works with any major IaC tool or cloud platform and the VCS provider where your teams store infrastructure code.
Configuration automation: Expand your capabilities beyond Terraform and OpenTofu with a workflow that also manages Ansible playbooks.
Governance to balance speed and control: Reinforce security and compliance with controls over developer/DevOps activity. Provide Golden Paths and define custom policies for third-party security vulnerability scanning tools, while accelerating policy creation with best-practice templates. Detect drift automatically, and restore resources to their expected state with drift remediation.
Integrated workflow: Easily create workflows that combine IaC for provisioning, Ansible for configuration management, Kubernetes for container orchestration, and policies for governance. Blueprint templates allow you to open your infrastructure pipelines to developers without losing control.
Infra Assistant: Your AI infrastructure assistant that can understand, design, deploy, and govern infrastructure in plain language. Ask questions about your infrastructure state that dashboards and reports can't answer. Get expert design guidance before you deploy, create and apply policies with AI assistance and diagnose failures faster with AI-generated context across your stacks, dependencies, and history.
Intent: A no-code, AI-based deployment model for maximum speed. Developers request infrastructure through their LLM via Spacelift MCP. Intent translates those requests into governed infrastructure actions with the same policies, credentials, and visibility as IaC, without requiring Terraform expertise.
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