u/sincez1nn

Hi everyone,

I’m currently developing an app and I’d like to build and test it on iOS.

Do I need to pay for the Apple Developer Program ($99/year) just to create builds and test the app on a real iPhone?

I’m not planning to publish the app on the App Store yet. I only need it for development and testing.

Can I do this with a free Apple ID, or is the paid developer membership required?

Thanks!

Hola a todos

Empecé a aprender de desarrollo de software después de la IA, para ser exacto, en 2023. Durante estos 3 años he estudiado de manera autónoma, he finalizado un técnico de programación y actualmente me encuentro desarrollando soluciones corporativas en una empresa no en un puesto de "desarrollador" exactamente, tanto full-code en JS o Python como low-code en Power Platform de Microsoft.

A todas estas, tengo conceptos muy claros, por ejemplo, en desarrollo de software y system design, que he aprendido en el camino. Pero, si les soy sincero, hace mucho no programo yo. Es decir, en mi recorrido básicamente no he programado 100 % yo, como sé que lo han hecho muchos de ustedes que quizá llevan bastante tiempo.

Me hubiese gustado aprender y estar en esa época, pero actualmente veo que el mercado de software pasó de calidad a velocidad, o bueno, a una velocidad 1000x gracias a la IA por ello pues sigo aprendiendo y poniendo en practia lo aprendido de esta manera , asistiendo el codigo 100% con ia .

Con todo esto, me da una gran curiosidad a la hora de buscar nuevas oportunidades en el mundo del desarrollo, dado que, por estos mismos temas, la cantidad de juniors como yo está en abundancia, y más aún los que, como yo, en nuestro recorrido nos hemos enfocado más en el desarrollo de software por encima de simplemente escribir código.

¿Creen que debería empezar a retomar y mejorar temas de programación? ¿O cómo se venderían ustedes frente a una empresa teniendo un perfil como el que les comento?

Y, por último, para los que han tenido entrevistas de trabajo como juniors, ¿las pruebas técnicas actualmente cómo son?

Hi everyone,

I'm researching the possibility of building an AI agent integrated with Microsoft Teams, but with a strong focus on keeping infrastructure and operational costs as low as possible.

The goal is to create an MVP that could do things like:

• Transcribe Teams meetings
• Generate AI summaries
• Extract action items and responsibilities
• Create follow-up tasks or reminders
• Read information from chats/channels/files
• Potentially answer questions about meetings or internal documentation

I'm trying to understand what is realistically possible today without building an enterprise-scale architecture from day one.

Some questions I have:

1. What is the cheapest practical architecture for this kind of project?
2. Can this be done mostly with Microsoft native tools (Graph API, Power Automate, Copilot Studio, etc.) or is it better to use external AI services?
3. Are there open-source projects or GitHub repos I should study?
4. How expensive do transcription + LLM processing become at scale?
5. Is it possible to avoid Copilot licensing costs and still build something useful?
6. What would you recommend for a first MVP with minimal budget?
7. Are there good examples using Azure OpenAI, local models, Whisper, LangChain, RAG, or bots inside Teams?

I'm especially interested in:

• low-cost architectures
• real-world experiences
• hidden limitations
• permission/security concerns
• and examples that are actually maintainable

Any guidance, repos, architecture diagrams, or lessons learned would be greatly appreciated.

Thanks.

Hi everyone,

I'm researching the possibility of building an AI agent integrated with Microsoft Teams, but with a strong focus on keeping infrastructure and operational costs as low as possible.

The goal is to create an MVP that could do things like:

• Transcribe Teams meetings
• Generate AI summaries
• Extract action items and responsibilities
• Create follow-up tasks or reminders
• Read information from chats/channels/files
• Potentially answer questions about meetings or internal documentation

I'm trying to understand what is realistically possible today without building an enterprise-scale architecture from day one.

Some questions I have:

1. What is the cheapest practical architecture for this kind of project?
2. Can this be done mostly with Microsoft native tools (Graph API, Power Automate, Copilot Studio, etc.) or is it better to use external AI services?
3. Are there open-source projects or GitHub repos I should study?
4. How expensive do transcription + LLM processing become at scale?
5. Is it possible to avoid Copilot licensing costs and still build something useful?
6. What would you recommend for a first MVP with minimal budget?
7. Are there good examples using Azure OpenAI, local models, Whisper, LangChain, RAG, or bots inside Teams?

I'm especially interested in:

• low-cost architectures
• real-world experiences
• hidden limitations
• permission/security concerns
• and examples that are actually maintainable

Any guidance, repos, architecture diagrams, or lessons learned would be greatly appreciated.

Thanks.