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Kingsley Ijomah
AI Adoption Lead · Gravity9

The person behind Codehance

Hi, I’m Kingsley.

I lead AI adoption and engineering initiatives at Gravity9, backed by more than 15 years of building software across complex, real-world environments.

I built Codehance to share my journey through the three layers of AI: using AI, working with AI, and building AI. It’s an open notebook for anyone curious about how AI changes the way we think, work, and create.

01 · PEOPLE

Unite teams

A shared language across engineering, product, quality, and delivery.

02 · PROCESS

Connect the work

Agentic processes spanning requirements, implementation, testing, and verification.

03 · PRODUCTION

Build responsibly

Production AI supported by evaluation, guardrails, and observability.

Explore the field notes →More about me →LinkedIn ↗GitHub ↗

Codehance is my personal project. The views and experiences shared here are my own and do not represent Gravity9 or its clients.

A home for curious peopleLearning•Engineering•Product•Delivery•Anyone asking “what next?”

Fresh from the notebook

Practical lessons from building with AI.

Ideas, patterns, and lessons drawn from real agentic systems and delivery work. Shared so you can apply them in your own context.

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Working with AI01

Build an AI Agent from First Principles Before You Choose a Framework

I kept rebuilding the same agent inside different products. Stripping it back to one definition, three skills, one MCP tool and a visible loop showed me what an agent framework actually does.

Kingsley Ijomah

17 Sept 2026
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Working with AI02

OpenAI’s Agents API: What It Is and What Changes for Developers

I first read ‘Agents API’ as another agent-building SDK. The important change is that OpenAI now operates the Codex harness itself, including durable sessions, context compaction, recovery, sandboxes and subagents. Here is what that means for developers.

Kingsley Ijomah

17 Sept 2026
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Working with AI03

Who Will Own the Agentic Stack? The Model Is Only One Control Point

I started by comparing model providers, clouds, data platforms and agent frameworks as if they were fighting for the same prize. They are not. The more useful question is which control point each vendor wants to make hardest to replace.

Kingsley Ijomah

17 Sept 2026
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Your place at the table

AI belongs to curious minds.

You don’t need “AI” in your job title—or any particular job title. Bring the work you do and the questions you have.

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Curious minds

Build a clear mental model of AI and find useful ways to bring it into your everyday work.

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Engineers

Move from autocomplete to agentic delivery without giving up engineering judgment.

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PMs & delivery people

Shape work that humans and agents can execute together, then introduce AI responsibly across teams.

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Everyone in between

Explore without needing an AI job title, a technical background, or all the answers.

Keep growing

Come curious. Leave with something you can use on Monday.

No guru theatre. No fear of being behind. Just practical notes, honest experiments, and better ways to work with AI.

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