On Saturday 21st March 2026 I was at Code Camp Wellington. The speakers were great and the crowd was friendly!
A few plucked highlights from talks for me:
- The importance of thinking well
- self-awareness, reflection, deliberate action, precision, quality
- Being wary of the impact on ourselves when using AI
- Agents work better when you get your accessibility right
Sketchnotes
Below are my sketchnotes from the talks I went to. Each image: links to a larger image; is followed by a text version.
Text version of page 1 of sketchnotes from Code Camp Wellington 2026
Think small: How to maintain a startup mindset even after 20+ years – Chris Smith
- Lesson 1: small is good
- Lesson 2: Embrace your inner Anarchist
- Lesson 3: Surround yourself with geniuses
- Lesson 4: Keep your culture alive
- Lesson 5: It’s about people
Data wrangling with AI – Daniel Shannon
- Have secure custom deployed models, an air gap
- Use continuous QA agents
- Map together disparate data sets
- The most important thing: high quality data set
Running Runn on a run: Hands free vibe coding – Ingo Schommer
- “From writing code to having conversations about code”
- Agents work better when you get your accessibility right
- Two stage loop, two LLMs
- Sandbox around Claude Code
- Many hilarious edge cases
New Normal: AI Speed, Human Overload – Lexi Weng
- Ship more, close more tickets, but increased mental load, more context-switching, less satisfaction
- Waiting for a prompt response, or an agent, is not a rest
- It moves effort, we do more in parallel
- The productivity baseline has gone up
- Becoming orchestrator more than creator
Text version of page 2 of sketchnotes from Code Camp Wellington 2026
How I took a career break – Prae Songprasit
- If you have an Employee Assistance Programme, use it!
- Things that lower morale, path to burnout
- Mismatched skills and team needs
- Devaued specialist skis
- Values mismatch
- What do you
- care about?
- get satisfaction from?
- Rest is not wasting time
- Become clear on your burnout conditions, your red flags
- For example: tired, teary, terse
- Know thyself and monitor
Pragmatic GenAI for Software Developers: Staying Human in the Loop – Roberto Allende
- Be Deliberate rather than be reactive
- Act with agency
- An LLM is a probability machine that gives us plausible answer
- When we give it vague inputs it has a large probability space
- Automation has to be deterministic: the same inputs give the same outputs, every time
- It feels magical until it collapses
- LLMs can give genuine leverage when generating options
- Review AI output like an untrustworthy Pull Request
The Habits of Fast Developers – Sam Jarman
- Increase the density of your experience
- Good habits and bad habits both stack
- Understand the big picture
- Have the option to reverse things
- Bookmark everything
- Experience = Sensations + Reflection
I also did a talk of my own. A little lightning talk: The fiction of non-friction being favourable.