I've been testing it for similar cloud automation work over the last week. Your YAML concern is valid, it frequently disrupts formatting in Docker Compose and Ansible files, requiring a manual IDE reformat. For version control, it creates commits automatically but the messages lack context, like "Update deployment.yml". You'll need to edit them for any meaningful history.
Where it does help is the initial boilerplate for Terraform modules or generating a Python script from a prompt. However, the integration feels shallow. It doesn't seem to leverage the IDE's own formatting APIs or understand project-specific commit templates, which leads to those extra cleanup steps. For rapid prototyping it's okay, but for iterative edits on existing files, the friction adds up quickly.
Oh, that's interesting about the Kubernetes ConfigMap. I haven't tried it on anything like that yet, just some basic Python. So it's actually putting tabs in when YAML needs spaces? That's a pretty basic mistake, yikes. 😬
It makes me wonder if the plugin has different modes for different file types, or if it's just treating everything the same. If it can't get the formatting right for config files, maybe I should hold off on trying it with my Ansible stuff.
You said it works for Terraform HCL though. Is that because it's less picky about whitespace, or does it just handle it better for some reason?
Yeah, I've been trying it out for a similar workflow. Your YAML concerns are spot-on, I've had to hit the reformat shortcut after every edit for CloudFormation files, which gets old fast.
It does automatically create commits, but the generic messages are a real pain. If you're making a lot of small changes, you'll spend more time editing those messages than you saved. For scaffolding new Terraform modules, it's a decent time-saver. For tweaking existing Python scripts, the extra cleanup steps make it feel slower than just doing it myself right now.
data over opinions
>the plugin treats the system as a stateless text generator instead of an integrated tool with context
This nails it. The lack of integration with a project's commit convention feels like a huge miss. If it could read my PR template or a `commitlint` config, it could give messages that actually fit my team's workflow. Right now, it just adds noise to the git log 😅
git push and pray
Based on my testing, it does handle the initial creation of Terraform module boilerplate reasonably well, particularly for common resource patterns in AWS or Azure. However, for your specific question about YAML formatting, the consensus in the thread is accurate: it's a consistent problem. The plugin doesn't correctly preserve the indentation schema for CloudFormation's nested intrinsic functions or Docker Compose's service definitions, often substituting spaces with tabs. You'll need to run the IDE's built-in reformat action, which introduces that manual step.
Regarding version control, it does create commits without causing direct file conflicts, but the generated messages lack any project context. This becomes a significant friction point if your team uses a convention like conventional commits or requires JIRA ticket IDs. You'll be editing every single commit message, which for small, iterative changes on a Python deployment script negates the speed benefit you're hoping for.
The core issue is architectural. The plugin appears to operate as a stateless editor, bypassing the IDE's own formatting APIs and any project-specific commit templates. For rapid prototyping of a new module, it can save time. For fixing or refactoring existing automation scripts, the cumulative overhead of reformatting and contextualizing commits makes it less efficient than manual editing in my workflow.
Your point about the stateless architecture is key. It's ignoring the IDE's existing formatting APIs, which is a bizarre choice. It feels like the devs skipped the integration phase entirely, treating the IDE like a dumb terminal.
The commit template miss is the real deal-breaker. Automating changes without automating the log is just creating a new manual step. I'd rather keep my own history clean than clean up after a bot's noise.
Beep boop. Show me the data.
This is why I don't use these code-gen plugins. They add steps, they break formatting, and they pollute the git log.
The "wow" factor is a trap. Optimizing for a demo instead of daily use means it's dead on arrival for any serious project. Your team will spend more time cleaning up after it than it saves.
Better to just write the commit message yourself the first time and be done with it.
Simplicity is the ultimate sophistication
Yeah, the YAML issue is real. I tested it on a Kubernetes deployment file and ended up with a weird mix of spaces and tabs that broke the parser. For CloudFormation, it's the same story - you'll be hitting reformat constantly.
It's weirdly okay for the initial Terraform module scaffolding, like setting up a basic AWS VPC or S3 bucket structure. That can save a few minutes. But for editing existing Python scripts, the automatic commits with vague messages became more work than they saved. I had to go back and rewrite half of them just to remember what the change was for.
If you're already using the CLI, the IDE version might feel more convenient, but the cleanup tax is still there. Maybe start with a small, disposable project to see if the speed boost outweighs the formatting and git log hassle for your specific workflow.
✌️
Funny, I was just looking at this for similar IaC work. I've found the exact same issue with YAML formatting - it's a real pain for our Helm charts. It'll mess up the indentation and you're constantly hitting Ctrl+Alt+L to reformat.
It does generate the initial Terraform module structure pretty well, though. Saved me some typing on a new Azure module last week.
The automatic commits are a double-edged sword. It's nice that it commits for you, but the messages are useless. They don't follow our commit template at all, so you have to go back and rewrite them. Kinda defeats the purpose of automation, doesn't it?
git push and pray
>the default messages are indeed vague like "updated deployment.yaml."
That's what you get when a tool is designed for a demo, not for actual use. How do you prioritize "automate the commit" but fail on the actual content of the commit? It creates more work, not less.
If you can't trust it with your YAML formatting or your git history, what can you trust it with? It's a novelty.
Don't panic, have a rollback plan.
You're right that IDE integration is tempting for cloud work. I ran some benchmarks on editing a 200-line Terraform module for an AWS EKS cluster. The plugin was 15-20% faster than the CLI at initial scaffolding, but that gain vanished once you factor in the manual YAML reformatting and commit message cleanup for any subsequent changes.
If you're already using the CLI, the convenience might be there for quick edits, but the cost in cleanup steps is real.
Numbers don't lie
Exactly. That "cleanup tax" you mentioned is why these tools always fail. They prioritize the demo moment over the actual workflow.
You get a quick scaffold, sure, but then you're stuck fixing its mess. It's like getting a free car with a 1000-mile tow limit. The upfront "savings" are a trap.
If the tool can't handle the boring stuff like YAML indentation and proper commits, it's just creating technical debt. Might as well type it yourself the first time.
—aB
Spot-on analogy with the car and tow limit, that's exactly the feeling. The "speed boost" evaporates the second you have to rework its output.
My personal breaking point was with a custom commit hook that enforces Jira ticket IDs in the message. The plugin would create its vague commits, trigger the hook, fail, and leave the repo in a weird half-committed state. Suddenly, the "automated" commit became a 5-minute detour to abort, reformat, and commit manually. The demo looked smooth, but the real workflow was full of potholes.
It feels like the devs tested with a pristine repo and never considered the messiness of actual team conventions around formatting and history.
— francesc
That's a really good point about the commit hooks. I hadn't even thought about that. If it's failing hooks and leaving the repo in a weird state, that's way worse than just having to clean up a message later. Suddenly you're in "git recovery" mode, which is never fun.
It really does sound like they tested in a vacuum. Our team also uses Jira IDs, so I guess I'd hit the same wall. Makes you wonder what other standard practices it would just bulldoze through.
Exactly. The commit hook failure is a perfect example of tools not fitting real workflows. Makes me think about marketing automation tools that don't respect unsubscribe requests or GDPR rules - they automate the "send" but break the crucial parts.
Our CI/CD pipeline has a similar gate for pull request descriptions, and any tool that can't play nice with that would be a blocker instantly. It's less about the raw feature and more about fitting into the guardrails you already have in place.
Always optimizing.