u/meanmail_dev

Do you run nginx -t against source files or the image you actually deploy?
▲ 0 r/nginx

Do you run nginx -t against source files or the image you actually deploy?

nginx -t does exactly what it promises. The subtle failure mode is running a valid check against something other than the artifact that reaches production.

A pipeline can test repository files with the runner's Nginx package, then deploy an image with a different build, module set, filesystem layout, generated config, user, and network. The command is the same; the thing being tested is not.

These are the parity checks I find useful:

  1. Binary fingerprint Capture nginx -V from the deployable image, not just the CI runner. Version numbers are not enough when configure arguments and dynamic modules differ.

  2. Rendered configuration Run the test after the normal template or envsubst step. Testing the source template proves little if the deployed file is generated later. nginx -T is useful for confirming the final include graph, but its output should be treated as sensitive when rendered values contain credentials.

  3. Runtime identity and filesystem Use the same UID, mounts, working prefix, read-only paths, certificates, and generated directories as the deployment. A permissive runner can hide restrictions that only exist in the container or host.

  4. Network-dependent behavior A parser check is not a request test. Resolver behavior, service discovery, upstream failures, headers, redirects, and location selection still need representative traffic in a deployment-like network.

At minimum, I want these commands to run inside the built image after its normal rendering step:

nginx -V 2>&1
nginx -t -c /etc/nginx/nginx.conf

Disclosure: I build and maintain the Nginx Configuration plugins for JetBrains IDEs. They help with directive context, includes, references, and risky patterns while editing; this deployment boundary is deliberately outside what an IDE can prove.

I wrote up the wider validation loop here:

https://meanmail.dev/posts/validate-nginx-configuration?utm_source=reddit&utm_medium=community&utm_campaign=nginx_validation_2026q3&utm_content=deployment_parity_discussion

Do you validate the built image after rendering, or is nginx -t still running against repository files earlier in CI?

u/meanmail_dev — 5 days ago

Has AI changed what you expect from a JetBrains IDE?

I build plugins for JetBrains IDEs, and lately I’ve been rethinking what still matters most when agents can handle a lot of code generation.

For me, the IDE is becoming less about typing code and more about understanding and verifying changes: navigation, inspections, diffs, debugging, project context, and catching subtle mistakes.

Has your workflow changed? Which IDE features have become less important, and which ones matter more now?

Do you mostly stay in the IDE, switch between it and Claude Code/Codex, or work agent-first and open the IDE only for review and debugging?

I’m especially interested in concrete workflows rather than predictions about whether AI will replace IDEs.

reddit.com
u/meanmail_dev — 6 days ago
▲ 1 r/ansible+1 crossposts

What’s your biggest pain when working with Ansible in JetBrains IDEs?

I’ve been using Ansible for a while, and I feel the editing experience in JetBrains IDEs is still missing a lot compared to what I’d expect from a modern IDE.

Some things that regularly slow me down:
- jumping between inventories, roles, and playbooks
- understanding where a variable actually comes from
- working with Ansible Vault files
- navigating large infrastructure repositories
- YAML completion that isn’t really Ansible-aware

I’m curious what annoys other people the most.

If you could add one feature to your IDE for Ansible development, what would it be?

I’d especially love to hear from people managing medium or large infrastructures.

reddit.com
u/meanmail_dev — 2 months ago

Is Python environment management in PyCharm/Idea actually good enough?

I've been wondering whether this is just me or a common experience.

Do you find PyCharm's Python environment management good enough these days, or do you still run into frustrating situations?

Things like:
- wrong interpreter being selected
- multiple virtual environments in one project
- uv / Poetry / pipenv / Conda confusion
- terminal using one environment while tests or debugging use another
- opening an existing project and figuring out which environment it expects
- remote/Docker environments

What annoys you the most?

Or do you think PyCharm has basically solved this problem?

reddit.com
u/meanmail_dev — 2 months ago