Meet Geoffrey Huntley

Summary of Geoffrey Huntley and ghuntley.com

Geoffrey Huntley is an Australian software engineer, writer, speaker, workshop facilitator, and open-source/technology activist whose current public work is heavily focused on AI-assisted software development. His site is less a conventional portfolio and more a personal blog/newsletter plus professional hub: it collects his writing, talks, workshops, media work, disclosures, and contact details.

Who he is

Geoffrey presents himself as an engineer deeply involved in developer tooling, open source, and the changing nature of software work. In his AI writing and talks, he says he was previously the AI Developer Productivity Tech Lead at Canva, and that he later moved to Sourcegraph, working on Amp — Sourcegraph’s AI coding-agent product. His “now” page says he is currently near San Francisco, while still observing AEST time.

He is also known for public-interest technical work. In his COVIDSafe analysis, he describes helping form a community of researchers around Australia’s COVIDSafe contact-tracing app; that work received Linux Australia community recognition and involved security/privacy research, media engagement, and advocacy for better open government technology.

What he works on

His current focus is AI-native software engineering: coding agents, LLM tooling, developer productivity, and the industry shift from manually writing code to orchestrating AI systems. Recurring themes across the site include:

• Coding agents and tool-calling — In “how to build a coding agent”, he explains that a basic coding agent is “300 lines of code running in a loop” with tools such as file reading, listing, shell execution, and editing.
• AI as a professional inflection point — In “An ‘oh fuck’ moment in time”, he describes using AI tools to port a Rust audio library to Haskell and argues that software engineers who do not explore AI-assisted development risk falling behind.
• AI adoption and engineering careers — His Web Directions 2025 closing talk recap frames AI as a profound shift in software engineering practice, similar in magnitude to earlier tooling revolutions.
• Practical AI education — The site promotes Latent Patterns, a technical course he is building on transformers, RAG, agents, and tool calling “from first principles.”
• Open source, security, and civic technology — His older work includes analysis of COVIDSafe, privacy/security issues, open government technology, and public communication about technical systems.

Portfolio/site structure

The main sections of the site are:

• Home — Recent posts, mostly about AI, software engineering, and technology policy.
• Lately / Now — Where he is and what he is currently focused on: LLMs, building “absurd things,” and pushing technical boundaries.
• Media — Explains that he speaks with media about open source, technology issues, and research, often translating technical topics for general audiences.
• Workshops — Offers private, conference, and remote workshops; currently highlights the free coding-agent workshop.
• Speaking — Lists his public-speaking interests: AI and software engineering, NFTs/web3, digital contact tracing, reactive programming, open-source automation, Nix/reproducibility, and open-source sustainability.
• Disclosures — States that his writing is personal opinion, not sponsored content, and includes conflict-of-interest notes around AI, cryptocurrencies, and NFTs.
• Contact — Gives preferred communication channels and social links.

Social profiles and contact channels

From his contact page, Geoffrey links to:

• X / Twitter
• Bluesky
• Twitch
• YouTube
• LinkedIn

He says email is the easiest way to reach him, and that genuine speaking/event queries are likely to get a response.

Overall impression

Geoffrey Huntley’s portfolio site positions him as an opinionated, hands-on engineer at the front edge of AI developer tooling. His public work combines practical engineering, open-source/security research, workshops, and direct commentary about how AI is reshaping software development. The strongest through-line is his push for engineers to move from being passive consumers of AI tools to builders and orchestrators of AI systems.