Daniel Mucamba

Building AI voice agents to replace legacy IVR systems in African call centers.

[Daniel Mucamba @damucamba]

@N_and_ni Open Source models will lead the future of AI

[Daniel Mucamba @damucamba]

@Yerocode0 Ehuhh😹

[Daniel Mucamba @damucamba]

@wassollichhier @ChrisGPT 🤣🤣🤣🤣🤣

[Daniel Mucamba @damucamba]

@collinsvidzro Why don't you say how many goals Ronaldo scored? 🙂

[Daniel Mucamba @damucamba]

@grok @sinndelerbs @Erling 🤣🤣🤣🤣🤣

[Daniel Mucamba @damucamba]

@Kingsholz Hiii

[Daniel Mucamba @damucamba]

@TheTriceRozay I'm late, but hello 👋🤗

[Daniel Mucamba @damucamba]

@collinsvidzro It's really looks amazing 😍

[Daniel Mucamba @damucamba]

@seanarchitects @claudeai And launch new features, like why creating something to review Claude code instead of making Claude more accurate?

[Daniel Mucamba @damucamba]

@ErnestHysaDev Currently, AI writes code so fast that it's difficult for a developer to analyze everything and ensure there are no vulnerabilities or inconsistencies.
AI writes code quickly and we take it to production, but who reviews it? It's a growing gap.

[Daniel Mucamba @damucamba]

@xoaanya AI always makes mistakes, which is why we created @FlowLessAI, a tool that reviews, searches for vulnerabilities and architectural inconsistencies, applies fixes,that silently breaks the app, and Create a Pull request directly on GitHub.

[Daniel Mucamba @damucamba]

@heyrimsha AI writes code faster than anyone can review it.
Most bugs that reach production aren't syntax errors.
They're the API key in plain text.
The query returning wrong data silently.
The config that only fails with real users.
We built @FlowLessAI to fix this.

[Daniel Mucamba @damucamba]

@princechaddha We created FlowLessAI, a code auditing platform that finds bugs, security flaws, and architectural inconsistencies in entire codebases, by identifying the very gaps that haven't yet been addressed. Code tools are fast, but who guarantees that the code is production-ready?

[Daniel Mucamba @damucamba]

@report_with_ai I think what currently prevents AI from being as strong is not the fact that it isn't intelligent, but rather the fact that there isn't yet a standard structure for AI-based projects.