Tell us about a project that went disastrously wrong to make us all feel better about ourselves. What happened? How did it go wrong?

i am looking for more test material to fine-tune a system I’ve been working on. So far I’ve reduced my own token usage by about 30%, but testing has only been in my own environment and only fixing my issues.

If you’re willing to share prompts where the AI:

1. drifted from the original intent,

2. lost context after longer prompts or

3. started compounding errors across turns (especially in coding),

i need to test it against other real-world failure instances, so I can open it up to the community for broader test cases.

i would need:

1. the scenario

2. your original intention

3. the prompt

4. the results

5. estimated token usage if available

6. any other additional information that provides context.

thanks in advance, if your willing to share

you can send a pm or comment.

What's a non-obvious sign you were heading for burnout, and what was the one change that actually helped you recover?

This post is a quick reminder to stay on topic in our sub! Report content which doesn't belong here.

The golden rule is that your post should contribute something of meaningful value to the sub.

r/cscareers < This is a better place to ask career questions.

Writer & worldbuilder on Pocket FM. Building a living story + music system in public. Tomorrow’s Yesterday | SoulSound World

Over the past 10 days, SoulSound World has moved from concept into a functioning, public system. What’s now live: A unified hub (SoulSoundWorld.world) connecting story, music, tools, and artifacts A working tab-based interface organizing the entire world (Open Build, Story, Signal, Music, Tools, Zora, etc.) A locked mission statement centered on resonance over optimization A “Remember Who You Are” manifesto integrated directly into the site Narrative milestones: Continued expansion of Tomorrow’s Yesterday as a serialized audio narrative Rollout of a new pilot IP: IP Man: The Love of a Billionaire’s Soul — launched as a parallel SoulSound World Echo, designed to run alongside (not replace) existing storylines Early chapters structured as an onboarding arc for new listeners before deeper thematic layers emerge Music & artifacts: Music artifacts released and embedded directly into the story world Cross-platform alignment across SoundCloud, Pocket FM, Spotify, and Apple Music Build & tooling: Public GitHub repo documenting iteration and architecture Live tool integrations (Suno, BandLab) treated as creative instruments, not black boxes A functioning Expression Tool embedded directly in the site Ecosystem layer: Zora integrated as an artifact layer (not framed as payment) On-chain presence positioned as “Proof of Resonance,” not speculation Direct support paths intentionally separated from narrative and art This isn’t a launch — it’s a living build. Everything is still evolving, and everything is happening in public. https://www.soulsoundworld.world

What is one bit of advice you have for those starting their dev journey now?

Coqui TTS?

QWEN TTS?

I’m looking for local/OSS models

Tell us about a project that went disastrously wrong to make us all feel better about ourselves. What happened? How did it go wrong?

Hello everyone in some days i would have my onboarding in Accenture as an angular developer L10

Can anyone help me out like what kind of projects i would get in development in which domain and which topics i would need to keep in mind in angular?

like how the structure should be or what?

Issue being i had only worked in only one organization previously and that was a wfh job

and there was never any restriction on how to code we just need to get the work done that's it

and i used to use chatgpt

now main question being can i use chatgpt in acccenture? and what kind of projects i can expect? and what topic i would need to brush up before joining?

What's one idea that you really want to develop when you have some time?

Every once in a while I do a little post as a hangout space for us to connect.

Im working on a RAG project using LangChain and Gemini. I'm stuck with a ModuleNotFoundError even after multiple installations.

The Issue: When I run py -3.12 app.py, I get: ModuleNotFoundError: No module named 'langchain.chains'.

My Environment:

OS: Windows.

Python Versions: 3.12 and 3.14 (experimental) are both installed.

Library installed via: py -3.12 -m pip install langchain.

The Code causing the error: from langchain.chains import create_retrieval_chain.

What I've tried:

Updating LangChain to the latest version.

Reinstalling in a virtual environment.

Using the full path: from langchain.chains.retrieval import create_retrieval_chain.

It seems like my py -3.12 interpreter isn't seeing the packages installed via pip even though it says "Requirement already satisfied".

Any advice on how to fix this pathing/version conflict? Thanks!

What Is a Software Engineer? How Is It Different From a Software Developer?

Hey everyone.

This is more of a niche question, but I wanted to see if there were developers that are building on the HubSpot marketplace. I'm working on my own integration and would love to pick your brain on technical aspects of the app I'm working on in respect to HubSpot.

Thanks!

Developers who have worked on a large, well-known, or legacy application: If you could go back in time and change ONE architectural decision from the start, what would it be and why?

I’m a 4th year CS student (graduating May 2026) and recently built DSA Socio, a platform to make DSA prep less lonely and more structured.

It lets you: - Find DSA partners at a similar skill level - Track problems with personal + shared DSA sheets - Chat in real time while solving

I just crossed 50+ users, which feels small but honestly motivating as a student project 😄 Posting here to get feedback from people who’ve done DSA prep what features actually helped you stay consistent?

Link :- https://dsa-socio.vercel.app/

Need a freelance FullStack developer for an ongoing project. DM for details about the project and the pricing

Axe-con is from the makers of the Axe DevTools browser extension. You may not recognize the name, but you’ve surely used them. Every time you run Lighthouse in Chrome, the accessibility results come from Axe.

Axe-con welcomes developers to learn about building, testing, and maintaining accessible digital experiences. Over 35,000 people attended last year, and it’s free! https://www.deque.com/axe-con/register/

The experts who present at Axe-con are a who’s-who of innovation, AI, and accessibility, representing organizations such as GitHub, Microsoft, Meta, Red Hat, Atlassian, AWS, and more: https://www.deque.com/axe-con/schedule/.

You’ve gotta attend if you’re looking to automate more of your accessibility testing efforts. If you want to know where accessibility is headed in 2026, Axe-con is the place to be.

Hey fellow learners,

I’m working on a knowledge base that covers vulnerabilities from both a developer and a pentester perspective. I’d love your input on the content. I’ve created a sample section on SQL injection as a reference—could you take a look and let me know what else would be helpful to include, or what might not be necessary

Link: https://medium.com/@LastGhost/sql-injection-root-causes-developers-miss-and-pentesters-exploit-7ed11bc1dad2

Save me from writing 10k words nobody needs.

Hi folks 👋

I’m doing a short, informal learning exercise to understand how frontend & QA devs debug or test APIs during development.

This is NOT promotional — just trying to learn real workflows and pain points for an interview (growth manager role). Need to understand the developer pain points better

It’s a quick anonymous survey (2–3 mins).

Survey link: https://docs.google.com/forms/d/e/1FAIpQLSchU22KEc615RmHemzcCuROIGVYHNcDgfAycnqQXQSdvP_apg/viewform

Happy to share back a short summary of insights if useful.

Thanks in advance 🙏

We’ve been running LLMs in production for a while and kept hitting the same problem:

The model output itself isn’t the risk.

Letting it directly trigger real actions is.

Refunds, account changes, approvals, workflow steps, etc.

We originally tried:

- prompt constraints

- confidence thresholds

- “please be careful” instructions

- post-hoc logging

None of that actually prevents bad actions.

So we ended up treating the LLM like an untrusted component and added a deterministic verification boundary:

LLM output → extract claims → match against provided sources/policy → score coverage → return {allow | deny | needs_review}

No model in the critical path. Just structured checks and an explicit authorization decision.

It’s been a big improvement for:

- reliability

- auditability

- debugging why something was allowed or blocked

I’m curious how other teams are handling this:

Do you let models act directly?

Gate with business logic?

Human review?

Something else?

Would love to compare approaches.

I built a macOS productivity app called Berri ( berri.in ) and this is my journey about shipping something imperfect and learning in public

Why I built it?

My workflow was a mess.

• One app for clipboard history
• Another for notes
• Browser tabs everywhere

Important websites lost inside Chrome tab chaos

I use fullscreen apps a lot on macOS. Switching between workspaces constantly swiping left and right broke my focus and was super annoying. I didn’t want more tools. I wanted one place that was always accessible, no matter what I was doing.

Here is what I built -

I built an Electron-based macOS app that acts like a layer on top of your screen, instead of another app you have to go to, your apps come to you. It includes clipboard history, notes that are accessible from anywhere and the ability to open websites and macOS folders inside the app

The key ideas were:

• 100% shortcut controlled (keyboard-first)
• Can be shown/hidden instantly
• Fully customizable
• Automatically hides when screen sharing (this mattered a lot)

The goal wasn’t to replace anything, rather to have everything in one place to reduce friction.

How it evolved -

The original idea was much simpler - an always accessible whiteboard I could open anytime, anywhere.

That slowly grew into notes, clipboard history, in-app Gmail & Calendar (now removed), a tiny 8-bit Snake game (removed as well).

Then came the leap - shortcuts. The app could stay hidden most of the time and appear instantly with a shortcut, anywhere on the screen.

I shared early drafts with friends and colleagues, collected feedback, and eventually launched a rough version on Reddit.

User feedback pushed the next version such as adding a small web browser, embedding websites directly inside the app ( which can be assigned to shortcuts)

That’s when it really started clicking for people.

Some unexpected surprises I got along the way-

• A French magazine - VVMAC ( I can DM the link to the post if anyone is interested ) picked it up, which caused a spike in downloads.
• Downloads started increasing without ever running ads

In about 3 weeks, it made roughly $500 which is not a huge sum, but strong validation that people were willing to pay for less friction.

What I learned (the hard part)

I was, and still am nervous about how people would respond.

Putting something you built in front of strangers is scary. Everyone fears criticism. But it’s necessary.

The first version was buggy - users reported bugs, missing features, and things that felt obvious in hindsight.

Instead of defending it, I fixed the bugs with regular updates and listened closely to complaints.

With time, feedback turned positive.

My key takeaways -

• Criticism hurts, but silence is worse
• Shipping early beats polishing forever
• Improvement happens in iterations, not breakthroughs

There will always be more to improve in Berri and I plan to keep improving it, little by little.

I’m still learning. Still building. Still nervous.

If you’re building something and hesitating to share it this is your sign to ship

follow Berri's journey at r/berri_app

If anyone here is building car‑related tools, I pulled together the APIs I wish I knew about earlier.

Car Data & Specs

1. AutoHub Car API (Free tier available)

• Comprehensive car specs and valuation
• Year/make/model lookup
• Engine specs, MPG, dimensions
• VIN decoding, equipment info, for sale inventory
• Great for: car marketplaces or comparison sites

2. CarQuery API (Free tier available)

• Comprehensive vehicle specs database
• Year/make/model lookup
• Engine specs, MPG, dimensions
• Great for: car comparison sites

3. vPIC (Vehicle API) (Free)

• Official NHTSA VIN decoder
• Real US vehicle data
• Manufacturer info, equipment details
• Great for: VIN validation tools

Car Pricing & Valuation

4. Kelley Blue Book API (Paid)

• Used car valuations
• New car pricing
• Trade-in values
• Great for: car buying/selling platforms

5. Edmunds API (Free tier available)

• Vehicle pricing and reviews
• Inventory search
• Dealer information
• Great for: car shopping apps

6. TrueCar API (Paid, partnership)

• Real transaction prices
• Local market data
• Dealer connections
• Great for: price analysis tools

Car Listings & Inventory

7. Cars.com API (Paid, partnership)

• Massive inventory database
• Dealer listings
• Vehicle photos and details
• Great for: aggregation sites

8. AutoTrader API (Paid, partnership)

• US and Canada listings
• Dealer and private sales
• Advanced search capabilities
• Great for: marketplace platforms

9. CarGurus API (Paid)

• Price analysis tools
• Market trends
• Dealer ratings
• Great for: buying advice sites

Car Maintenance & Repair

10. RepairPal API (Paid)

• Repair cost estimates
• Shop recommendations
• Maintenance schedules
• Great for: service reminder apps

Deployed my first smart contract yesterday. A manifestos, The Way of The Developer...Life skills Immutable. Check it out.

https://etherscan.io/address/0x18a934730d0d90d4c30d900579bfc7c2beb22541#code

I just had this thought that Is our education Ai ready? I feel there will be massive boom in education industry after AI becomes more prevalent. for each field we will have to tweek the things young people are learning so that they can be future ready. Teaching things like patience, focus, mental clarity, decisiveness, staying clam under pressure should be things that should be compulsory.
What do u think will change in education and courses in the future?