21,295 contributions · last year

Founder · Software Engineer

David
Ibia

Building infrastructure for agentic software.

Founder of Reoclo and Prawnwire, and Founding Engineer at Flowstate. Reoclo already deploys and runs 30 servers for 10 organizations, including a crypto exchange and a payments app.

David Ibia
[ Building ] All products →

Products I'm launching

Reoclo live

Deployment platform for any Linux server, from Git, the CLI, or AI agents. Since February 2026 it has managed 30 servers across 10 organizations, including a crypto exchange and a payments app, with uptime monitoring, cost tracking, and service migrations built in.

Web, CLI Docker Linux CLI AI Agents
Visit ↗

Prawnwire beta

Business email and a transactional email API. Unified inbox, calendars, and automatic DNS record management, plus a sending API and SDK so AI tools can work with email directly.

Web, API TypeScript Hono PostgreSQL SMTP
Join beta →

Air Traffic Controller coming soon

A profile-aware default browser router for macOS. Sets as your system default and routes every link to the right browser and the right profile based on URL, source app, Wi-Fi network, time of day, and Focus mode. Includes a keyboard-driven picker, a Raycast-style launcher, multi-engine search, and an opt-in AI agent for writing routing rules in plain language.

macOS Swift SwiftUI AI Agents
[ About ]

Founding Engineer at Flowstate Founder of Reoclo & Prawnwire Building infrastructure for agentic software

Software engineer and founder based in Lagos, building infrastructure for agentic software. Founder and Lead Engineer of Reoclo and Prawnwire, Founding Engineer at Flowstate, and Partner & Engineering Lead at Neurl, with nearly a decade of experience leading engineering across infrastructure, platform, and product teams.

Currently

  • Founding Engineer, Flowstate Since Dec 2025
  • Founder & Lead Engineer, Reoclo Since Feb 2026
  • Founder & Lead Engineer, Prawnwire Since Apr 2026
  • Partner & Engineering Lead, Neurl Since Jan 2025
  • Founder & CEO, Boxmarshall Since Jan 2019
More about me →
[ Recent writing ] All posts →

A Bounded Agent Near a Live Deploy: What It Fixed, and What I Kept for Myself

✓ Read ★ featured

The companion to my NITHUB Innovation Fair masterclass, Building Technology Infrastructure for Scale. The demo you watched: an AI agent that diagnosed a broken deploy, named the missing secret without ever printing it, then stopped to ask before it changed anything. The three guardrails behind it, the slides, and the four part write up are all here. It matters most on the day your product goes viral. Diagnosis was automated. The decision was mine.

July 30, 2026 · Infrastructure for Scale, Agentic AI, Guardrails, Reoclo, MCP, NITHUB, Talk

Automated Rollback Is Not AI. It Is Competent Defaults.

✓ Read

The day your product goes viral is the day you ship the most, under the most pressure. Before you get there, a failed deploy has to be a non event: the platform holds the old version and rolls back on its own, no agent and no human required. That floor is what everything else in this series stands on.

July 30, 2026 · Infrastructure for Scale, DevOps, Reoclo, Blue-Green, Reliability, Agentic AI

The Most Important Thing My Agent Did Was Refuse

✓ Read

I gave an agent a real failed deploy and the tools to fix it. The most important thing it did was stop and ask before touching a secret. Diagnosis was automated. The decision was mine. That split, plus the one class of action I keep out of its reach entirely, is the whole point.

July 30, 2026 · Infrastructure for Scale, Agentic AI, Guardrails, Reoclo, MCP, Production
[ Speaking & community ]
🎤

Building Technology Infrastructure for Scale

NITHUB Innovation Fair · Lagos, Nigeria · July 30, 2026

A 60-minute masterclass on the infrastructure that keeps a product alive the day it takes off. Covered failing safely by default with blue-green deploys, health checks, and automatic rollback, where an AI agent belongs in the operations loop, and the guardrails that let an agent diagnose a broken deploy while a human keeps every irreversible decision. The centerpiece was a live demo: an agent that diagnosed a missing secret and stopped at an approval gate instead of fixing it on its own.

Read the companion article →
🎤

Agentic AI for the African Ecosystem

MLOps Community (Lagos Chapter) + AI Community Africa · Lagos, Nigeria · March 1, 2026

Delivered an insightful session on how AI can be efficiently utilized in the African market, drawing from firsthand experience building AI-powered products. Shared global frameworks and Agentic AI workflows adapted for African contexts, and made a call to action for purposeful, impactful AI adoption, moving beyond trend-chasing into purposeful deployment of Agentic AI systems.

Read the companion article →
[ Build with purpose. Automate with intention. Lead with clarity. ]

Build for Production, Not Just Demos

Reliable, maintainable systems matter more than impressive prototypes. Every product should be designed to survive real-world usage at scale.

Automate Everything That Repeats

Good engineering systematically eliminates friction. CI/CD, infrastructure-as-code, and automated testing are not optional; they are the baseline.

Own the Full Path to Delivery

Strong technical leadership means being accountable for architecture, deployment, maintenance, and iteration, not just writing code.

Build AI That Is Purposeful and Impactful

AI should not be adopted because it is trendy, but because it solves a real problem. Agentic systems need clear objectives, the right mindset, and relevance to the people they serve.

Think Locally, Build Globally

Products built for African markets deserve the same engineering rigour, scalability, and thoughtfulness as those built for global audiences.

Keep Systems Useful as They Scale

Engineering decisions should support long-term growth, operational resilience, and team clarity, not just solve today’s problem.

[ Skills & technologies ]

AI / ML & Agentic Systems

Anthropic Claude OpenAI AWS Bedrock Ollama LM Studio LLM Integration & Orchestration Agentic AI Workflows Model Context Protocol (MCP) PyTorch ML Matching & Recommendation Speech-to-Text (Whisper) Text-to-Speech (Deepgram) Real-Time Audio Pipelines

Cloud & Infrastructure

AWS AWS Bedrock Hetzner Cloud Docker Docker Swarm Kubernetes Portainer MinIO Caddy Traefik GitHub Container Registry (GHCR) Coolify Railway

DevOps & CI/CD

Woodpecker CI Docker Gitea Harbor CI/CD Pipeline Design

APIs & Service Communication

gRPC Protocol Buffers Connect RPC ts-proto REST APIs OpenAPI WebSockets

Messaging & Real-Time Systems

RabbitMQ BullMQ Socket.io Server-Sent Events (SSE) Redis Pub/Sub Agora RTC

Security & Authentication

SPF/DKIM/SMTP Architecture WebAuthn / Passkeys (FIDO2) Secrets Management 1Password Security Best Practices

Databases

PostgreSQL MongoDB Redis MySQL / MariaDB Microsoft SQL Server Elasticsearch Knex.js Sequelize SQL NoSQL

Frameworks & Web Development

Astro React Vue Next.js Express NestJS Hono FastAPI Strapi Vite Electron
Show 7 more ↓

Programming Languages

JavaScript TypeScript Python HTML/CSS

Payments & Communications APIs

Stripe Paystack Twilio SendGrid Resend

Native App Development

Swift SwiftUI AppKit macOS System APIs App Signing & Notarization

Desktop Applications

Electron Cross-Platform Packaging Auto-Update Code Signing & Notarization gRPC IPC

Mobile Development

React Native Expo Expo Router NativeWind EAS Build Ionic

Browser Automation & Anti-Bot

Puppeteer Headless Chrome Proxy Rotation Anti-Bot Evasion Browser Fingerprinting Distributed Crawlers Chrome Extensions (MV3)

Web3 & Smart Contracts

Solidity Hardhat ethers.js Seaport WalletConnect Web3Modal OpenZeppelin Smart Contract Integration
[ Newsletter ]

New writing, straight to your inbox

Occasional essays on engineering, AI, and building products. No spam, just the good stuff, and you can unsubscribe anytime.

[ Contact ]

Get in touch

Want to talk about Reoclo, Prawnwire, or infrastructure for agentic software? I'd love to hear from you.

+ Send a message