Hey everyone,

I wanted to get some honest opinions from people who’ve either worked in startups or been in similar situations.

I recently interviewed with an early-stage digital health startup (US/EU based). The interview went well, and they want me to join their full-stack team.

Here’s the situation:

• They’re building an MVP and targeting completion in ~3–6 months
• Expected commitment: ~20–25 hours/week
• Offered rate: €50/hour
• BUT — payment is fully deferred until they raise funding
• They’re targeting funding around September (currently April)
• Equity is also offered, but capped (details on % not very clear yet)
• Entire team (including senior engineers) is working under the same structure

So basically:
I’d be working for the next ~5+ months with no guaranteed income, hoping they raise funding and then pay accumulated hours.

My situation:

• I have ~5 years of experience (full stack, backend-heavy)
• I run some freelance/agency work, but right now my cash flow is low
• I can take some risk, but I can’t afford to go months without income
• I’m also thinking realistically:
  • MVP ≠ funding
  • Funding ≠ immediate cash payouts
  • Even after MVP, they’ll need users/traction first

My concerns:

• What if funding gets delayed (which is common)?
• What if they prioritize growth/marketing over paying back engineers?
• What if the project drags on beyond the initial timeline?
• Is €50/hr “on paper” actually meaningful if it’s not guaranteed?

What they did offer:

• They increased the rate from €40 → €50
• Reduced hours slightly
• But still no upfront or partial payment

My question to you all:

• Have you taken similar “deferred + equity” roles?
• Did it actually pay off?
• Would you take this risk in my situation?
• If yes, how would you structure your involvement (hours, expectations, etc.)?

I’m trying to balance:

• Not missing a potentially good opportunity vs
• Not putting myself in a financially bad position

Would really appreciate honest feedback from people who’ve been through this.

Thanks

Claude Code ships features fast, genuinely impressive, but the verification layer just doesn't exist natively. CI runs, unit tests pass, and there's still this blank space where end to end checking is supposed to happen.

The build side is mostly automated now and QA is still the part that needs a human clicking through screens. Feels like the agentic loop has an obvious hole in it.

Hey everyone 👋

18 months ago we started building internal tooling because nothing in the market covered what we actually needed: a full production loop for AI agents, not just one piece of it.

Tracking without evaluating means that something is wrong. If you don't simulate the evaluation, you'll only find out when you release. If you don't have a feedback process, optimization is just changing prompts and hope that it works. Guardrails put on after the event miss the most important failures.

So we built the full loop. And in a few days, all of it goes open source.

Self host it. Extend it. Ship AI that improves itself.

What's actually shipping:

traceAI: OpenTelemetry-native tracing for 22+ Python and 8+ TypeScript frameworks. Your traces, your backend, no lock-in.

ai-evaluation: 70+ metrics: hallucination, factual accuracy, relevance, safety, compliance. Every scoring function is in the repo. Read it, modify it, run it in CI/CD.

simulate-sdk: Synthetic test conversations at scale for voice and chat agents. Your agent works on 10 test cases. simulate-sdk throws 500 adversarial ones at it before users do.

agent-opt: Feeds failed eval cases into a prompt optimization loop and re-evaluates the output against those exact failures. Closes the gap between "we found a problem" and "we fixed it."

Protect: Real-time input and output guardrails across content moderation, bias detection, prompt injection, and PII compliance. Text, image, and audio.

futureagi-sdk: One interface that connects all of the above.

Not a community edition. Same code running behind the platform.

Three questions for the devs here, we would like to know:

• When your AI agent fails in production, how long does it take you to find which step caused it, the retrieval, the prompt, the tool call, or the model output?
• Have you ever shipped a prompt change that improved one metric but quietly broke something else downstream, and only caught it after users hit it?
• If you self-host your eval pipeline inside your own VPC, what's the biggest operational issue: maintaining the infra, keeping metrics updated, or getting the rest of the team to actually run evals before deploying?

DM if you want early access or want to see a specific part of the stack in action before the public release.

We’re a small, execution-focused team shipping real-world applications, no unnecessary bureaucracy, just functional, deployable code.

What You’ll Do

Develop and maintain both frontend and backend components

Build and improve REST APIs and integrations

Work with databases (MySQL/PostgreSQL, etc.)

Debug production issues and deploy quick fixes

Optimize performance and ensure system reliability

Collaborate on UI/UX improvements and frontend features

You’ll Fit If You Have

Solid experience in fullstack development (PHP, JavaScript, HTML/CSS)

Strong understanding of backend architecture, APIs, and databases

Ability to write clean, maintainable, and scalable code

Self-driven with the ability to work independently remotely

What You Get

Fully remote role (US/EU/Canada preferred)

Flexible schedule

Competitive hourly rate: $21–$43/hour based on experience

If you love building stable, end-to-end systems more than sitting in meetings, you’ll feel at home here.

Send your location 📍

I have developed some software aimed at a specific problem around engineering (I am an engineer in oil and gas and not a developer) and it essentially is a cut down version of a very popular product. Most people who use this software don’t use anywhere near the full feature set but it is great and widely used.

I want to get my software tested by real world users to get feedback. How do I go about this? Who can I trust to not take the idea, and also this would maybe require a specific type of user?

A bit lost on how to get it tested as I mentioned I am not in this game like a developer would be.

** Got ratted lost everything **

the data : 4 / 15 / 2026

I don’t give a fuck about the money, but this guy is a straight-up scammer. Dude took a whole fucking year to eat, then pops back up after that night talking about he got ratted out and lost everything’s in his PC.

Check any Discord ID or Telegram in 5 seconds at real community reports from skid like you.

→ https://fakeslist.com/devlist

Does anyone offer free work? To build their portfolio?

i build a lot of side projects but i notice that after i build them i don`t use them.
are you actually using your own staff ?

Hey guys,

I’m a backend engineer with almost 8+ years of experience, mainly in Java and Golang.

Right now, I’m working at a company with hundreds of small teams. The issue is that everyone is basically building similar things over and over again. There’s no real unification due to different customer requirements and, honestly, a lot of bureaucracy.

What makes it harder is that the backend competency here feels quite low, much lower than the frontend. It’s led to this “smart client, dumb server” setup, where most of the logic is pushed to the frontend instead of the backend.

Our tech director (who comes from a frontend background) recently announced that everyone needs to become fullstack. So backend developers are expected to learn frontend, and frontend developers are expected to learn backend.

This is pretty far outside my comfort zone, and I feel a bit torn. On one hand, the company offers great benefits, strong corporate stability, and to be honest, I can kind of chill here. it’s quite difficult to get fired.

On the other hand, the options I’m seeing outside are mostly startups with questionable runways and stories of silent layoffs, which makes the risk feel pretty real.

Another angle I’ve been thinking about: with all the talk around vibe coding and even people like Zuck getting back into coding, maybe the era of specialists is fading? Maybe becoming fullstack is actually the smarter long-term move?

Curious what you guys think. I’d really appreciate any advice.

I’ve been trying to find a better way to look for clients without spending hours scrolling through Reddit and LinkedIn.

So I put together a small tool that scans posts and tries to surface people who are actually looking for help (based on keywords, context, etc.).

In the video, I just enter a niche and it pulls a few potential leads with some context so it’s easier to reach out.

It’s still very basic and I’m mostly building it for myself, but I’m curious if this is something others would find useful too.

How are you guys currently finding clients?
Would love to hear what’s working (or not working) for you.

https://reddit.com/link/1sol7f6/video/wwu3jqxs1vvg1/player

I'm tired of seeing AI agents break down trying to read poorly written PDFs from city halls via Playwright.

I built a scraper that downloads, injects into an LLM via Groq, and outputs structured and strictly typed JSON (Organization, Object, Value, Date, Modality).

The endpoint was made 100% focused on consumption by other Agents (internal instructions optimized for RAG/Tool Calling from CrewAI/LangGraph).

The average database latency (SQLite async cache) is 50ms.

I'm releasing 5 free Bearer keys for those building SDR (B2B Sales) or GovTech agents to test the integration. If your agent needs to hunt for opportunities in obscure city halls, send a DM or comment and I'll send you the Swagger (ngrok) link and the key.

Warning: The documentation doesn't have a fancy web interface. It's an M2M schema.

When I wrote the code, I had an intuitive sense of what was deployed where. scanning the diff, and saying "yeah, this touches the auth flow, keep an eye on login metrics," and feel reasonably confident about what we were pushing (3~4 releases per week). 

Now with few agents doing a significant chunk of the coding, the PRs are bigger, the diffs are longer, and I'm approving things based on their design, not so much their actual code. 

Everything is “green” until it breaks - tests pass, the logic is sound, features released but now i find myself more and more “reconstructing” the “what actually changed in that release”. 

I know that I was supposed to feel more in control, but now I'm less certain about everything that I actually coded.

Tried to improve PR messages - nobody reads them (me included)

Tried to tag with the git SHA - now I have a clear starting point to the endless diffs and messages

Anyone else experiencing this and how are you handling the traceability side specifically? Not asking about code review (agents?!?), more about how you document what actually shipped.

We are looking for how much it will cost for someone to program an app fully(use ai we don’t mind)(also want help setting up private server database and such)

fully functional app on iOS and android, anyone log in for bookings and staff can see when you book through their log in,

for consumer they see listings by location and options for what service you need then the person who does it and the times and days that they are available

something for you to set alerts if they become available last minute because of cancellations, also reminders of time you booked 48 hours before 36 hours, 25 & 24 hours

If you don’t check in like 24 hours ahead and confirm appointment automatically cancel appointment and alert others on the waitlist

Also reminders of appointment with all details and location which can be pressed taking to maps(automatic on phone), 6 hr before, 1 hr before and 30mins before

If staff side doesn’t check you in at time of appointment you get alert to check in 3 times

We don’t mind how long it takes we just want estimates on how long it will take and for what price

Cansei de ver agentes de IA quebrarem tentando ler PDF porco de prefeitura via Playwright.

Construí um scraper que baixa, injeta num LLM via Groq e cospe JSON estruturado e estritamente tipado (Órgão, Objeto, Valor, Data, Modalidade).

O endpoint foi feito 100% focado no consumo por outros Agentes (instruções internas otimizadas para RAG/Tool Calling do CrewAI/LangGraph).

A latência média do banco (SQLite async cache) está em 50ms.

Estou liberando 5 chaves Bearer gratuitas para quem está construindo agentes de SDR (Vendas B2B) ou GovTech testar a integração. Se seu agente precisa caçar oportunidades em prefeituras obscuras, manda DM ou comenta que eu envio o link do Swagger (ngrok) e a chave.

Aviso: A documentação não tem interface web frufru. É um schema M2M.