Africa's Talking Developer Community Uganda

@ATCommunityKla #BuildwithAT #weloveNerds #AIAgents When AI Agents meets African Developer. We assemble to build the Future of Africa with AI and AfricasTalking

The ladies team @_am213im_ and @essie_victoria are building a health portal for Uganda. Book appointments. AI triage. In your language. From your phone. It's called SaveLives Call. And it's already working. This is what African women in tech look like. #WomenInTech #HealthTech #WeLoveNerds #BuildWithAT

Kicking off today’s meetup of Building AI Agents for real World using @Africastalking APIs with @Nickle_las, Founder of SocialPay. He dives into product readiness, innovation and what it takes to build solutions that truly scale. #BuildWithAT

"It's no longer about your qualifications. AI has that knowledge now." We asked workers across Uganda: Man or Machine who's winning? This is what we found at the @nssfug Career Expo 2026. 5 of 14 universities. Real conversations. Hard truths. Are you ready? @AbsaUganda Federation of Uganda Employers @PepsiUganda ACCA Uganda 🎥 Watch 👇 #ManOrMachine #NSSFCareerExpo2026 #AIStudioUganda @ATCommunityKla @Africastalking @ganafaR @slugada @maxmass2040

“This is where it started.” — @Nickle_las 🤖 A simple slide showing global AI adoption sparked a deeper curiosity and journey into AI tools. Sometimes, all it takes is one insight to change your direction. #BuildWithAT #WeLoveNerds #AIAgents

@oquidave is live breaking down Voice Agents and how to plug @Africastalking Voice APIs directly into your AI Agent stack. But it goes deeper than the tech. He's calling out a real opportunity: African voices are underrepresented in AI. The chance to build, train, and own that space is RIGHT NOW. Don't sleep on it. #VoiceAI #AIAgents #AfricasTalking #Hackathon #WeLoveNerds #BuildWithAT

Hackathon mode: ON. We're diving deep into AI Agents and the best part? You don't need to be a developer to build one. @Nickle_las is walking everyone through how to use @claudeai Code to go from idea to working agent. This is what democratized AI looks like in practice. #BuildWithAT #WeLoveNerds #AIAgents #Hackathon #AIStudioUganda #AIAgents

A student asked, “𝐖𝐢𝐥𝐥 𝐀𝐈 𝐭𝐚𝐤𝐞 𝐦𝐲 𝐣𝐨𝐛?” The real question is, “𝐇𝐨𝐰 𝐝𝐨 𝐈 𝐠𝐫𝐨𝐰 𝐰𝐢𝐭𝐡 𝐀𝐈?” Discover what AI means for your skills, career, and earning potential at the @nssfug CareerExpo2026 Register: nssfug.org/2026careerexpo/ #NSSFCareerExpo2026

In the era of AI, Clean Code is no longer just about aesthetics or being a "nice" teammate; it has become a functional requirement for managing the sheer volume of code AI can generate. When a machine can write 100 lines of code in seconds, the human developer's role shifts from "author" to "editor and architect." Here is how clean code principles have evolved for the AI era: 1. DRY (Don’t Repeat Yourself) is Now a "Guardrail" Traditionally, DRY was about reducing human error during updates. In the AI era, it’s about context management. * The AI Trap: LLMs often generate redundant boilerplate if they don't have full context of your existing utilities. * The Clean Approach: By strictly centralizing logic, you give the AI a smaller, more accurate "surface area" to understand. One source of truth means the AI is less likely to hallucinate a second, conflicting version of the same logic. 2. Meaningful Naming as "Prompt Engineering" Naming variables and functions well has always been a hallmark of clean code. Now, it serves as the ultimate prompt. * Self-Documenting Code: If a function is named calculateSeasonalDiscount(), an AI assistant can instantly "guess" the intended logic. * The AI Benefit: Clear names act as a continuous, high-quality prompt for the AI's autocompletion, leading to more accurate suggestions. 3. The "Junior Engineer" Mental Model The most effective way to maintain a clean codebase in 2026 is to treat AI like a fast, literal junior engineer. * Encapsulation: Wrap AI-generated snippets into defined modules immediately to keep them from "bleeding" into the rest of your architecture. * Review, Don't Paste: Never "mindlessly" copy-paste AI output. Use it as a draft, then refactor it to meet your project's specific standards for simplicity (KISS principle). 4. TDD (Test-Driven Development) is the New Compass With AI writing code so fast, it's easy to lose track of whether the code actually does what you intended. * Tests as Intent: Write your unit tests before asking the AI to generate the implementation. * Validation: This ensures that the machine-generated code is validated against your specific requirements, not just "looking like" it works. ​#WeLoveNerds #BuildWithAT #AfricasTalking #MachineLearning #CleanCode #SoftwareEngineering

Stop Using LLMs for Everything! ​Caught this gem at the @ATCommunityKla meetup: The Over-Engineering Trap. ​In the rush to use AI, we're often "burning a forest to toast bread." 🍞 🔥 If you’re using a massive LLM for a task that simple math or predictive ML could solve, you’re hitting a nail with a sledgehammer. ​🛠️ The Scalpel vs. The Sledgehammer ​Generative AI (The Sledgehammer): Great for creative chaos and complex reasoning, but expensive and high-latency. ​Predictive/Classical ML (The Scalpel): "Old school" AI is making a comeback because it’s precise, fast, and handles simple math that actually works. ​The 2026 Dev Flex: Knowing when not to use a Large Language Model. Keep your architecture lean and your precision high. 📈 ​#WeLoveNerds #BuildWithAT #AfricasTalking #MachineLearning #CleanCode #SoftwareEngineering

The New Era of Dev: SLMs vs. LLMs ​Do you know how top-tier developers are actually using AI today? It’s no longer just "prompt and pray." It’s about picking the right tool for the specific job. 🛠️ ​🧠 LLMs (Large Language Models) ​The Architects. Developers use heavyweights like GPT-4 or Claude 3.5 for high-level logic. ​Best for: Complex system architecture, debugging "impossible" logic, and explaining legacy codebases. ​The Vibe: It’s like having a Senior Architect on speed dial. ​⚡ SLMs (Small Language Models) ​The Specialized Speedsters. Models like Phi-3 or Mistral 7B are the unsung heroes of 2026. ​Best for: Running locally on your machine (privacy!), instant autocomplete, and unit test scaffolding. ​The Vibe: Low latency, zero cost, and they live right in your IDE without needing the cloud. ​📈 The 2026 Workflow: ​LLMs to map out the vision. ​SLMs to handle the repetitive "grunt work" locally. ​Human (You!) to provide the judgment, security audit, and creative spark. ​AI has raised the floor, but it’s also raising the ceiling. Are you an operator or an orchestrator? ​#WeLoveNerds #BuildWithAI #Coding2026 #DevCommunity #LLM #SLM

2026 is the year of Small Language models(SLMs). They’re free or low cost, offline, private and secure. A good example is Ollama. You don’t have to use a giant cloud LLM.

Remember when "coding" meant staring at a syntax error for three hours? Today, we’re dancing with AI to build entire architectures in minutes. ​The craft hasn't died; it’s evolved. But staying relevant means more than just prompting, it's about mastering the new workflow. I’m heading to the Africa's Talking community event to bridge that gap between "writing code" and "architecting the future." ​Whether you're just starting or you’ve been in the trenches for years, this is where the new playbook is being written. ​Link: community.africastalking.com/events/details… Today 12th Feb 2026 - Acacia Place Level 4 @AsaLugada @ganafaR

𝐂𝐫𝐚𝐧𝐞 𝐀𝐈 𝐋𝐚𝐛𝐬 𝐃𝐞𝐦𝐨𝐧𝐬𝐭𝐫𝐚𝐭𝐞𝐬 𝐎𝐟𝐟𝐥𝐢𝐧𝐞 𝐕𝐨𝐢𝐜𝐞 𝐀𝐈 𝐚𝐭 𝐍𝐚𝐢𝐫𝐨𝐛𝐢 𝐀𝐈 𝐅𝐨𝐫𝐮𝐦 2026 At #NairobiAIForum, our co founders ( Bronson Bakunga and @katomubirusteve ) presented our offline voice AI system to an audience including AI at @Meta , @UNDP ,the @AfDB_Group , 𝐈𝐭𝐚𝐥𝐢𝐚𝐧 𝐆𝐨𝐯𝐞𝐫𝐧𝐦𝐞𝐧𝐭, 𝐊𝐞𝐧𝐲𝐚𝐧 𝐆𝐨𝐯𝐞𝐫𝐧𝐦𝐞𝐧𝐭, 𝐔𝐒 𝐆𝐨𝐯𝐞𝐫𝐧𝐦𝐞𝐧𝐭 etc. 🙌🏿The demo: "𝘈 𝘱𝘩𝘰𝘯𝘦 𝘪𝘯 𝘢𝘪𝘳𝘱𝘭𝘢𝘯𝘦 𝘮𝘰𝘥𝘦. 𝘚𝘱𝘦𝘢𝘬𝘪𝘯𝘨 𝘓𝘶𝘨𝘢𝘯𝘥𝘢. 𝘕𝘰 𝘪𝘯𝘵𝘦𝘳𝘯𝘦𝘵 𝘳𝘦𝘲𝘶𝘪𝘳𝘦𝘥. 𝘛𝘩𝘪𝘴 𝘪𝘴 𝘸𝘩𝘢𝘵 𝘴𝘰𝘷𝘦𝘳𝘦𝘪𝘨𝘯 𝘈𝘐 𝘪𝘯𝘧𝘳𝘢𝘴𝘵𝘳𝘶𝘤𝘵𝘶𝘳𝘦 𝘭𝘰𝘰𝘬𝘴 𝘭𝘪𝘬𝘦." 🔥𝐎𝐮𝐫 𝐬𝐲𝐬𝐭𝐞𝐦 𝐚𝐝𝐝𝐫𝐞𝐬𝐬𝐞𝐬 𝐚 𝐟𝐮𝐧𝐝𝐚𝐦𝐞𝐧𝐭𝐚𝐥 𝐩𝐫𝐨𝐛𝐥𝐞𝐦: → 70% tokenizer tax: Luganda requires 70% more tokens than English for equivalent content → Connectivity gaps: 600M+ Africans lack reliable internet → Cost barriers: Cloud-dependent AI is prohibitively expensive for most use cases Our solution: ✓ On-device inference using fine-tuned Gemma models ✓ Offline-first architecture ✓ Data stays on device, privacy by design ✓ Runs on $150 Android phones 𝐓𝐡𝐢𝐬 𝐰𝐨𝐫𝐤 𝐢𝐬 𝐦𝐚𝐝𝐞 𝐩𝐨𝐬𝐬𝐢𝐛𝐥𝐞 𝐛𝐲 𝐨𝐮𝐫 𝐩𝐚𝐫𝐭𝐧𝐞𝐫𝐬: 👉🏾@AIHub4SD (AI Hub for Sustainable Development (G7/UNDP) 👉🏾CINECA — 250,000+ GPU hours on Leonardo supercomputer 🙏🏿Thank you to the AI Hub team — @KeyzomN , Mohamed Kais Dhaoui, Maria Giulia Vitagliano, Gituku Ngene, for convening this Forum and championing African AI builders. 🙏🏿Thank you to Kenya and Italy for co-hosting, and to @DrShikoh Gitau (@QhalaHQ ) and Sarah Sakha (Meta) for the collaboration on stage. Building AI infrastructure for the connectivity-constrained world. AI Hub for Sustainable Development #NairobiAIForum #SovereignAI #VoiceAI #AfricanAI #CraneAILabs #G7AIHub #UNDP

Deeply honored to be a @CMX Advisor for the 2026 cohort! Community isn't just a function; it’s the backbone of how ecosystems mature and people find opportunities. Excited to support builders across Africa & beyond. Let’s build what’s next! #CMX #Community

At @Africastalking, we offer a comprehensive suite of innovative products designed to enhance mobile communication and engagement; SMS, USSD, Voice APIs, & more services and products here africastalking.com - Mark, AT Engineer #DevFestJinja2025 #BuildWithAT | @m_k_global