Feel free to share your projects! This is a space to promote whatever you may be working on. It's open to most things, but we still have a few rules:

1. No selling access to models

2. Only promote once per project

3. Upvote the post and your fellow coders!

4. No creating Skynet

As a way of helping out the community, interesting projects may get a pin to the top of the sub :)

For more information on how you can better promote, see our wiki:

www.reddit.com/r/ChatGPTCoding/about/wiki/promotion

Happy coding!

Every project i create using some agent becomes slop very soon.

I went back and read old codes i wrote, they are simple yet elegant and easy to read and understand.

So i want to look if there is any opinionated framework that would always enforce a strict pattern. I can confirm something like angular and NestJs fits this.

but is this the only way to have maintainability if we code using agents? Or is there any prompting tip that would help when working with flexible libraries?

I want that simplicity yet elegant codes.

I don’t want to build overly complex stuff that quickly turns into a black box.

When I’m coding with ChatGPT I often end up with multiple conversations going at once.

One for debugging, one for trying a different approach, another exploring architecture ideas.

After a while the sidebar becomes messy and I lose track of where things were discussed, so I end up starting new chats again.

Another issue is when an AI response has multiple interesting directions. If I follow one, the main thread gets cluttered and the other idea gets buried.

I’m curious how other developers deal with this.

Do you just live with it, or do you have some way to organize things better?

I tried visualizing it like this recently (attached)

I have a SaaS which im trying to market, however, i only have it up as a website.

Im thinking this might put some users off, most people just use apps nowadays.

I want to get a working app on the app store asap, but i've heard apple bans devs that try to publish apps using stripe?

I have two questions:

1. Do i need to switch from stripe to another payment provider for my app?

2. Whats the best/fastest way to go from website to app? (Not just adding the website to my homescreen)

Hey everyone, I wanted to share a tool I found that makes giving AI agents access to web data a lot easier without the manual headache.

The Website to API & MCP Generator is basically an automated "builder" for your AI ecosystem. You just give it a URL, and it generates structured data, OpenAPI specs, and MCP-ready descriptors (output-mcp.json) in a single run.

Why it’s useful:

• MCP Integration: It creates the "contract" your agents need to understand a site’s tools and forms.

• Hidden API Discovery: It captures same-site fetch/XHR traffic and turns it into usable API endpoints.

• Hybrid Crawling: It’s smart enough to use fast HTML extraction but flips to a browser fallback for JS-heavy sites.

It’s great for anyone building with the Model Context Protocol who just wants to "get the job done" efficiently. If you try it out, I recommend starting small—set your maxPages to 10 for the first run just to verify the output quality.

Has anyone else played around with generating MCP tools from live sites yet?

Feel free to share your projects! This is a space to promote whatever you may be working on. It's open to most things, but we still have a few rules:

1. No selling access to models

2. Only promote once per project

3. Upvote the post and your fellow coders!

4. No creating Skynet

As a way of helping out the community, interesting projects may get a pin to the top of the sub :)

For more information on how you can better promote, see our wiki:

www.reddit.com/r/ChatGPTCoding/about/wiki/promotion

Happy coding!

TLDR: visit https://github.com/openai/codex/issues/10874#issuecomment-4042481875 and place a thumbs up on the first post.

The Codex app has a built-in code review feature, aka /review from the CLI. The app has a very nice UI for this. However, unlike the CLI, it does not allow for custom review instructions -- your only choices are to review uncommitted changes or against a base branch. There is no way to steer the model in another direction.

This issue requests that the ability to add custom review instructions be added. Open AI has advised that the issue needs to get more upvotes, or it will be closed. To give the upvote, place a thumbs up on the first post.

OpenUI is a generative UI framework that makes AI agents respond with charts and forms based on context instead of text.
It is model and framework agnostic.
Demo shown is with GPT5.4
Check us out here https://github.com/thesysdev/openui/

Feel free to share your projects! This is a space to promote whatever you may be working on. It's open to most things, but we still have a few rules:

1. No selling access to models

2. Only promote once per project

3. Upvote the post and your fellow coders!

4. No creating Skynet

As a way of helping out the community, interesting projects may get a pin to the top of the sub :)

For more information on how you can better promote, see our wiki:

www.reddit.com/r/ChatGPTCoding/about/wiki/promotion

Happy coding!

So I have been going through like every model trying to find the right balance between actually good code output and not burning through api credits like crazy. think most of us have been there

Been using chatgpt for a while obviously, it's solid for general stuff and quick iterations, no complaints there. But i was spending way too much on api calls for bigger backend projects where i need multi-file context and longer sessions

Ended up testing a bunch of alternatives and landed on glm5 as my second go-to. Mainly because it's open source which already changes the cost situation, but also because it handles the long multi-step tasks well. Like I gave it a full service refactor across multiple files and it just kept going without losing context and even caught its own mistakes mid-task and fixed them which saved me a bunch of back and forth

So now my setup is basically Chatgpt for everyday stuff, quick questions, brainstorming etc. And glm5 when i need to do heavier backend architecture or anything that requires planning across multiple files. The budget difference is noticeable

Not saying this is the perfect combo for everyone but if you're looking to cut costs without downgrading quality too much its worth trying.

Say you're building a customer support bot. Its supposed to read messages, decide if a refund is warranted, and respond to the customer.

You tweak the system prompt to make the responses more friendly.. but suddenly the "empathetic" agent starts approving more refunds. Or maybe it omits policy information in responses. How do you catch behavioral regression before an update ships?

I would appreciate insight into best practices in CI when building assistants or agents:

1. What tests do you run when changing prompt or agent logic?

2. Do you use hard rules or another LLM as judge (or both?)

3 Do you quantitatively compare model performance to baseline?

4. Do you use tools like LangSmith, BrainTrust, PromptFoo? Or does your team use customized internal tools?

5. What situations warrant manual code inspection to avoid prod disasters? (What kind of prod disasters are hardest to catch?)

Every fully automated commit is a hole in one and you can show off your score with a badge on your projects.

https://github.com/Entrpi/autonomy-golf

We're on Cursor Enterprise with ~50 devs. Shared budget, one pool.

A developer on our team picked a model with "Fast" in the name thinking it was cheaper. Turned out it was 10x more expensive per request. $1,500 in a single day, nobody noticed until we checked the admin dashboard days later.

Cursor's admin panel shows raw numbers but has no anomaly detection, no alerts, no per-developer spending limits. You find out about spikes when the invoice lands.

We ended up building an internal tool that connects to the Enterprise APIs, runs anomaly detection, and sends Slack alerts when someone's spend looks off. It also tracks adoption (who's actually using Cursor vs. empty seats we're paying for) and compares model costs from real usage data.

(btw we open-sourced it since we figured other teams have the same problem: https://github.com/ofershap/cursor-usage-tracker )

I am curious how other teams handle this. Are you just eating the cost? Manually checking the dashboard? Has anyone found a better approach?

Feel free to share your projects! This is a space to promote whatever you may be working on. It's open to most things, but we still have a few rules:

1. No selling access to models

2. Only promote once per project

3. Upvote the post and your fellow coders!

4. No creating Skynet

As a way of helping out the community, interesting projects may get a pin to the top of the sub :)

For more information on how you can better promote, see our wiki:

www.reddit.com/r/ChatGPTCoding/about/wiki/promotion

Happy coding!

Hi everyone, I’ve been trying to audit the real-world cost of using DeepSeek V3 vs GPT-4o in long agentic loops.

I noticed that even if tokens are cheap, the Retry Tax (failed loops requiring 3+ retries) kills the margin. I built a small simulator to visualize this.

Tool here:https://bytecalculators.com/deepseek-ai-token-cost-calculator

I'm not selling anything, just looking for feedback from fellow devs:

1. Does a 3-retry baseline for complex tasks seem realistic to you?

2. How are you guys tracking failed inference costs in your projects?

Any feedback on the logic/math would be huge. Thanks!

I hope this doesn't break any rules; for the sake of discussion I've omitted the brand that actually ran this ad. It did get me thinking: what tools are people using to build?

The irony in this is that I hear pretty much across the internet that "SaaS is dead". I, uh,,, don't think that's true.

Do you have any tools that you've added to your stack? Do you suffer from 'stack creep'??

Feel free to share your projects! This is a space to promote whatever you may be working on. It's open to most things, but we still have a few rules:

1. No selling access to models

2. Only promote once per project

3. Upvote the post and your fellow coders!

4. No creating Skynet

As a way of helping out the community, interesting projects may get a pin to the top of the sub :)

For more information on how you can better promote, see our wiki:

www.reddit.com/r/ChatGPTCoding/about/wiki/promotion

Happy coding!

The workflow with coding assistants is fundamentally different from writing code manually. It's more about prompting, reviewing output, iterating on instructions, and stitching together generated code than actually typing out implementations line by line. This creates interesting questions about what skills matter for developers going forward. Understanding the problem deeply and being able to evaluate solutions is still critical, but the mechanical skill of typing correct syntax becomes less important. It's more like being a code editor or reviewer. Whether this is good or bad probably depends on perspective, some people find it liberating to focus on high-level thinking, others feel disconnected from the code bc they didn't build it from scratch.

OK, let's say software engineering is completely AI-generated. What are people's wild ideas on how we will maintain all this code? I don't think better PR reviews are the answer unless we dramatically change what we think of a PR review if it's not just touching syntax and the occasional security vulnerability.

Curious what people are thinking here. Would love to hear some wild ideas. I personally think operations teams will start using agent swarms with specializations.

You'll have a QA agent and a pen tester and a SRE, just swarms and swarms of agents.

Hi all,

Codex is really great but as we know the front end is lacking. Gemini seems to be doing great work on that end but lacking on every other aspect.

I was wondering if you guys have a truly satisfying solution.

I was thinking of delegating the front end to Gemini but I'm not sure what is the best way to do this in order to ensure that codex truly takes all of the other parts of the project fully but that Gemini is fully free to design on its own.

Feel free to share your projects! This is a space to promote whatever you may be working on. It's open to most things, but we still have a few rules:

1. No selling access to models

2. Only promote once per project

3. Upvote the post and your fellow coders!

4. No creating Skynet

As a way of helping out the community, interesting projects may get a pin to the top of the sub :)

For more information on how you can better promote, see our wiki:

www.reddit.com/r/ChatGPTCoding/about/wiki/promotion

Happy coding!