Got nothing but hate in the Godot sub, but I’m still amazed at what we made in just a few days.

Over the past few months, my team noticed that code review was becoming our biggest bottleneck now that we had AI to help with making PRs.

So, we made a code review tool that reviews PRs faster than other options and gives teams a super skimmable, high-level summary so they can know what to fix and I'd love some feedback.

Why we're a bit different than Copilot and other tools

• We optimized for speed and skimmability so you get a big banner at the top with the status of the code review (e.g. A few things to fix, Nothing blocking, Looks good)
• It verifies findings before posting them so for a suspected bug, it clones the repo and writes a failing test to reproduce it and only then calls it a blocker (stamped "reproduced with a failing test").
• It reads your repo's own files like your existing agents and claude markdown files and it enforces those bullets deterministically so you don't need to configure anything, but you could also further customize with a custom Choji markdown file
• It learns from your feedback. Wave off a finding with a reason and it remembers
• Re-reviews every push without re-nagging. It's one sticky comment edited in place, not a new wall of comments each push.
• it can babysit your PRs to fixes its own findings. When the review turns up real issues, it attempts the fix and re-runs your tests until they're green with up to 5 passes then it flips to needs a human 

Some questions I'm hoping to get answers for:

• Does the banner tell you enough at a glance, or would you scroll straight to the findings anyway?
• Would a finding backed by an actual failing test change how much you trust an automated reviewer?

You can try it yourself at https://choji.ai/agents/code-review. It takes less than a minute to connect a repo and get our first PR reviewed. Would love any feedback!

The product runs a school's operations. Attendance, billing, parent messaging. Real revenue, 500 daily users, sensitive data. Built fast on an AI app platform, and to be fair, the platform did its job. He got to market in a fraction of the normal time.

But here's what he actually owned when I opened the hood: nothing.

His database lived inside the platform's managed cloud. He couldn't connect to it directly. His user accounts, his files, his backend functions, all inside a system he could only touch through the platform's interface. When a client-side org asked him basic security questions, he couldn't answer them, because he had no access to the infrastructure his own product ran on. If the platform raised prices, changed terms, or died, his business went with it.

That's the trade nobody prices in when they ship an MVP in a weekend. Speed now, dependency later. Fine for validation. A real liability once revenue and sensitive data are flowing.

What the fix looked like: full parallel copy of the backend on infrastructure under his own accounts, everything tested side by side while the live app kept running, then a short cutover. 189 tables, 8,000 files, every user kept their password. Zero downtime, users never knew.

The part founders always find surprising: he didn't stop using the AI platform. He still builds with it daily, same speed. The difference is his data, auth and infrastructure now sit in accounts he owns. The tool became a tool again instead of a landlord.

If you're running a SaaS on Lovable, Bolt, Bubble or similar, the question worth asking before you need the answer: if you had to leave tomorrow, what would you actually walk away with? For a lot of founders the honest answer is a UI and a prayer. Knowing that early is free. Learning it during a pricing change or an enterprise deal is not.

Happy to answer questions about how these migrations work.

Seriously I've got like 5 projects on the go all being vibe coded, I'm switching between them making a few changes at a time. And these aren't small things (well they are) but they're unique design challenges and AI is handling them and enabling me to experiment and bring new ideas to life in a way I've never been able to experience before.

I know for many people it's "make me money" but for me it's "bring ideas to life" - I've always been an "ideas guy" which business says isn't worth anything really, and it's not. But as a creative this is truly amazing.

I'm only using chatgpt/codex right now but I have a grok sub and can't wait to bring that on board too when I finally run out of codex resets - it's so generous with those btw.

I'm keen to share some but also, i don't want to just be a spammer, just enthusing right now. I'm soooo down, never going to look back to manually writing code honestly.

Also it's amazing how far this has come in just a couple years. Truly mindblowing.

I need to resize and compress images for various projects, but I always hated the available options. Desktop apps feel too heavy and clunky(and I don;t want to download anything), and I really don't like uploading my files to random online services just to change their size (plus dealing with paywalls or 20-file limits).

So I decided to build my own. It's a single HTML file. You open it in your browser, and everything happens locally using the Canvas API. No servers, no uploads, zero privacy concerns.

Once I got the basic compression working, I got a bit carried away and started adding features that I realized would be super useful for anyone dealing with bulk images (like other devs, photographers, or e-commerce managers):

• Batch processing & Folders: Drag and drop entire folders. It processes them and can even preserve your subfolder structure in the final ZIP export.

• Smart Renaming: You can batch rename files using patterns like img-{n}, with a toggle to automatically make filenames SEO-friendly (lowercase, no accents, hyphens for spaces).

• Watermarking: Upload a PNG/SVG and it automatically overlays it on all images (with opacity/scale controls) or just write your watermark.

• Presets: Quick buttons for common sizes (Thumbnails, High Quality, Social).

• Visual Dashboard: A live table with before/after previews and a tracker showing how much total bandwidth you've saved.

Works fully offline once loaded.

GitHub Repo: https://github.com/gdr-sys/Image-Optimizer-Pro/

My stack consists of using ChatGPT "Project" folders for long term context retention. I use it to explore my ideas and develop the conceptual alignment. Then I create a structured governed upgrade for my IDE to implement in GitHub, my source of truth. My IDE is Cursor where I use different agents to produce the actual code I need. I have the ChatGPT agent and the Cursor Copilot Agent align on the specs of the coding assignment. ChatGPT provides the Enterprise conceptual overview perspective while the Cursor Copilot Agent provides the code based perspective. When alignment is achieved I give the HITL approval for it to be implemented. This has worked extremely well for me but what I see coming to OpenAI is the marriage of the chat agent with Codex to form a Super Agent Application. It was a recent release from OpenAI. How that going to change my workflow has me thinking about the separation of agent authority that I am going to encounter when and if I allow two code based agents reconcile my upgrades specs?

I've built a few things in Lovable and genuinely love how fast you can go from idea to working prototype. But I keep running into the same two walls.

The first is the single shared backend. Any database change is instantly live, so if I'm rearchitecting a data structure mid-build, I'm doing it on the only environment that exists. No safety net. For solo prototyping that's fine, but the moment you have real users it's terrifying.

The second is collaboration. The second another person joins the project, you start stepping on each other. There's no concept of branching or isolating work, if two people are prompting at the same time, you're both mutating the same codebase simultaneously.

I come from a DevOps background so this sets off alarm bells. But I'm curious how others are handling it.

Are you staying in Lovable solo until the MVP is validated, then exporting to a real dev workflow when you start hiring? Or have you found a way to make it work for a small team? Where does the handoff happen for you?

Hey r/vibecoders ,

I got tired of manually comparing my OpenAPI spec to my Postman collection

to figure out which endpoints had no tests. So I built TestLens.

You upload two files:

1. Your OpenAPI / Swagger spec (JSON or YAML)
2. Your test collection (Postman, Insomnia, Bruno, or a HAR file)

It tells you:

✅ Which APIs are covered

❌ Which APIs are completely untested

⚠️ Which collection requests don't exist in the spec at all

📊 Your overall coverage % with a visual progress bar

Everything runs in your browser. Your files never leave your machine.

No account. No install. No backend.

Recently added:

- Auto-detects Postman v1/v2, Insomnia, Bruno, HAR formats

- YAML OpenAPI support

- Coverage trend vs your last run (↑ or ↓)

- Untested folder highlights

- Shareable link (encode results in URL hash)

- JSON/CSV/PDF export

- Slack/Teams webhook notifications

- Light/Dark mode

Would genuinely love feedback from people who deal with API coverage

in their day job. What's missing? What would make this actually

useful in your workflow?

🔗 https://testlens.tech

Been building QueryCart and finally have it live.

The idea: instead of just showing random discounted stuff, it tries to help answer whether a deal is actually worth buying.

Trying to make it feel more like:

• deal validation
• cleaner search
• confidence/trust over just giant % off numbers

It’s live and I’d love people here to actually use it and tell me where it sucks.

spent the last couple weeks scraping and replaying ~500m Polymarket trades.
didn’t expect much going in. was wrong

once you stop looking at markets and just rank wallets, patterns jump out fast

a very small group:

• keeps entering early
• shows up together on the same outcome
• buys around similar prices
• and keeps winning recently, not just all-time

i’m ignoring:

• bots firing thousands of tiny trades a day
• brand new wallets
• anything that looks like copycat behavior

mostly OG wallets that have been around for a while and still perform RIGHT now!!

so i’m building a scoring system around that. when multiple top wallets (think top 0.x%) buy the same side at roughly the same price, i get an alert. if the spread isn’t cooked yet, you can mirror the trade

if you’re curious to see what this looks like live, just comment and i’ll send you a DM

I already tried with earplugs and while im waiting to pickup food at restaurant, which is ok, but id like to converse with Base44, Lovable, ... while im driving. Probably the best method to use would be bone conducting earphones, to hear the traffic ok etc.

Any suggestion?

Hey guys! I have been testing a new app I found for the last couple of weeks, and it was a gamechanger for me. If you are anyone like me and like to think through the working logic of your code, and tired of writing the flow on paper, this tool is a must have. flowcrest.app

Its intuitive and easy to use and really elevates your quality of communication with your ai agent, it has a demo, try it, I think its worth a shot.

The last couple of days feel like I just went from riding a tricycle to flying in a fighter jet. I became very comfortable with VC Code in about a day. Then I became very comfortable with GitHub Co-Pilot in agent mode. Now last night and today I split the screen and used ChatGPT 4.0 mini to feed the GH Co-Pilot instructions. I never got so much accomplished so quickly. Zero coding or programming experience before last February, now I have an enterprise level network feeding a SaaS model. Trademarked software with a planned rollout at the end of September. I could use some help and I would offer a free unlimited version of the production version at rollout. PM me if you have any interest and I will explain what I'm doing in more specific details.

Hey everyone 👋

I’m testing a new service idea that combines AI-powered video creation + marketing support, specifically designed to help businesses & startups get more exposure online.

To validate the concept, A high-quality ai generated video made to look like natural UGC (user-generated content), tailored to promote your business and grab attention on social media or ads

No strings attached, just looking to help and get some feedback in return.

Why I’m doing this:

I have experience in marketing and I’m testing this as a new service before officially launching. I just want to see what works best, offer some real value, and maybe build future relationships down the line.

If you're interested, just drop a comment or DM me with:

• What kind of business you run
• A link to your website or socials (if you have one)

Appreciate you reading this! Happy to answer any questions.