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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

What Building with AI Actually Means for Software Engineers

I understood building with AI more clearly when a trend-detection project stopped being an LLM problem and became a system-design problem involving embeddings, time, evaluation, incomplete data and human judgement.

Kingsley Ijomah

6 Sept 2026
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Building AI02

What Building AI Means: My First Step as a Full-Stack Developer

My first useful step into Building AI as a full-stack developer was not training a model. It was understanding what changes when software learns behaviour from data rather than following rules written by hand.

Kingsley Ijomah

6 Sept 2026
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Using AI03

When not to use AI

Everybody asks what they should use AI for. Almost nobody asks what they should not, because nobody selling it is incentivised to answer. The work it is worst at, why you cannot feel the difference, and what must never go in at all.

Kingsley Ijomah

1 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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