FOOD FOR THOUGHT AI/IDE tools for VoIP development, what are you using?

[momosip]

I am a VoIP engineer working with open-source projects like FreeSWITCH, Kamailio/openSIPs, RTPEngine, some other testing tools like SIPp.
My workflow includes:

• Kamailio cfg language for SIP routing logic
• FreeSWITCH XML configuration
• Lua scripting for advanced freeSWITCH dialplan apps
• Python/Go for automation and infrastructure

Where AI helps vs. fails:

• With Python/Go, tools like "ChatGPT 5"/"Claude 4" are very useful.
• With VoIP-specific code, results are mixed. They often miss critical SIP/SDP nuances (e.g. Contact, Route, Record-Route header manipulation, or SDP media parameters), which makes code look right but fail in testing and practice.
• Same issue with testing tools like SIPp or handling RTP/SDP details.

My questions to the community:

• Are you using any AI or IDE tools (Cursor, Copilot, custom models, etc.) to boost your productivity in VoIP development?
• Has anyone tried training models on SIP/Kamailio/FreeSWITCH docs for better results?
• Any success stories where AI actually understands well that field and helps with configs or debugging?

I am curious to know if others in the VoIP field have found tools or approaches that actually work.

 

[KNERD]

 

[Jollyjet]

I tried the AI readiness check on redeagle.tech and it was a quick way to see where my own gaps were, especially around policy and data. The instant results made it easier to map out what to fix first without getting buried in jargon. Might be handy if you want a simple snapshot before investing time in bigger AI projects.

 

[wardmundy]

TIPS Post in thread 'PJSIP URI dialing with no chan_sip'

Mar 23, 2026

My wife uses the $20 5.3 version of ChatGPT which writes 90% of the text in her documents, letters, and speeches for her national organization. She spent about a month training it and feeding it everything about the organization. And now she literally can do the work of a half dozen people and still have time to party with me.

• wardmundy

• 

 

[Dempan]

I am a VoIP engineer working with open-source projects like FreeSWITCH, Kamailio/openSIPs, RTPEngine, some other testing tools like SIPp.
My workflow includes:

• Kamailio cfg language for SIP routing logic
• FreeSWITCH XML configuration
• Lua scripting for advanced freeSWITCH dialplan apps
• Python/Go for automation and infrastructure

Where AI helps vs. fails:

• With Python/Go, tools like "ChatGPT 5"/"Claude 4" are very useful.
• With VoIP-specific code, results are mixed. They often miss critical SIP/SDP nuances (e.g. Contact, Route, Record-Route header manipulation, or SDP media parameters), which makes code look right but fail in testing and practice.
• Same issue with testing tools like SIPp or handling RTP/SDP details.

My questions to the community:

• Are you using any AI or IDE tools (Cursor, Copilot, custom models, etc.) to boost your productivity in VoIP development?
• Has anyone tried training models on SIP/Kamailio/FreeSWITCH docs for better results?
• Any success stories where AI actually understands well that field and helps with configs or debugging?

I am curious to know if others in the VoIP field have found tools or approaches that actually work.

This is pretty much the current state of things in VoIP + AI in a nutshell.

General-purpose LLMs are genuinely helpful for Python/Go glue code, automation, parsing, API wrappers, etc. In those areas they save a lot of time because the patterns are well represented in training data.

But once you move into SIP / SDP / Kamailio / FreeSWITCH internals, the failure mode you described is very consistent: the model produces something that is syntactically plausible but semantically wrong in subtle protocol ways. And in VoIP, those “small” mistakes (headers order, routing logic, SDP attributes) completely break real-world interoperability.

For Kamailio specifically, cfg logic is another tricky area because it’s not just syntax — it’s stateful routing behavior across transactions, branches, and NAT edge cases. LLMs tend to flatten that into linear logic and miss the transactional model.