u/Dear_Try_5471

maybe this is just what happens once projects get bigger but lately i feel like half my time disappears into CI nonsense instead of actual development. at first github actions felt great because everything was in one place. then over time the workflows got bigger, more runners, more marketplace actions, more deployment logic, more review automation, more weird edge cases nobody documents properly. now every small issue somehow turns into 2 hours of debugging YAML and permissions
i started trying other setups a while back mostly because i got tired of patching around the same problems over and over. self hosted runners helped in some ways but also created their own headaches. eventually ended up moving a decent chunk of workflows into other alternatives like tenki and gitea instead because i wanted something that didnt constantly feel held together by random marketplace repos and fragile configs. still using github for repos obviously but i definitely understand now why people stop wanting their entire workflow tied to one platform after a while

so far in working with ai tools, ive been thinking about this a lot lately because i keep trying new AI tools and the demos always look insane at first but once u actually start using them in a real workflow the cracks show up pretty fast lol

like chatgpt is still great for brainstorming and random ideation, claude is better for longer reasoning stuff imo, perplexity saves me a ton of time for research rabbit holes, notebooklm is surprisingly useful for organizing sources, and ive been using writeless ai sometimes for editing rough drafts without flattening the tone completely. but even then i still feel like most AI tools optimize heavily for first impression instead of long term usefulness

maybe thats just the weird stage the whole space is in rn where every product is trying to look magical immediately instead of quietly fitting into peoples actual workflows over time

tried a lot of ai writing tools over the last few months because i wanted something that actually fit into my workflow instead of just looking impressive in demos. most tools felt amazing for like 2 days and then i completely stopped opening them lol

1. chatgpt
   still the most useful overall for brainstorming and rough outlining
   what it does well
   quick idea expansion
   good for restructuring thoughts
   easy to use for random tasks
   downside
   longer outputs start sounding repetitive fast
2. claude
   probably the best for nuanced rewrites and tone
   what it does well
   more natural sounding prose
   better at longer context
   good for detailed edits
   downside
   can overexplain things a lot
3. grammarly
   honestly still underrated for fast cleanup
   what it does well
   catches awkward phrasing quickly
   easy workflow
   good for polishing drafts
   downside
   sometimes pushes everything toward corporate sounding text
4. writeless ai
   ended up using this more than i expected
   what it does well
   keeps the original tone more intact
   better for editing rough drafts
   doesnt overprocess every sentence
   downside
   still needs manual cleanup sometimes on longer pieces
   final thoughts
   hmmm biggest thing i noticed is the tools that survive long term usually arent the flashiest ones. its mostly the stuff that quietly fits into your normal workflow without trying to replace the whole process

Ive tried way too many ai tools over the last few months and hmmm most of them follow the exact same cycle for me. first 20 minutes feels insane, i start imagining all the ways its gonna change my workflow, then a week later i completely stop opening it and go back to whatever i was already using before

the only stuff thats actually stayed in rotation for me has been tools that remove small bits of friction instead of trying to automate everything. perplexity replaced a lot of random google searches, notebooklm has been surprisingly useful for organizing sources, claude feels better for longer reasoning stuff, and ive been using writeless ai sometimes when i just need help cleaning up rough drafts without turning them into generic sounding ai text lol

kinda curious what tools people here actually kept using after the hype phase wore off cuz i swear my bookmarks folder is basically an ai graveyard at this point

When people talk about building a SaaS, they usually talk about features, growth, and acquisition.

Almost no one talks about what happens after you start charging customers.

That’s where things got messy for me:

recurring billing
failed payments
retries
refunds
chargebacks
VAT / GST
compliance across countries

At first, it feels manageable. Then suddenly you’re stitching together payment tools, spreadsheets, tax fixes, and manual follow-ups just to keep subscriptions running.

That’s why I stopped thinking about billing as just “payments.”

It’s really an operational system:
billing, renewals, access, tax, compliance, churn prevention.

I moved to a setup with Cleeng because I didn’t want to keep babysitting all those edge cases manually. What helped most wasn’t just the checkout, it was having subscriptions, billing, and compliance handled in one place so I could focus more on product and growth.

Curious how other founders handle this:
Are you still DIY-ing billing ops, or did you move to a Merchant of Record setup?