When slides help a presentation, and the principles that make them work.

A practice we expect a team to do, unless there's a better one for their particular context

agents make programming harder, creating a breakaway agent needs super-persistence, AI needs a conscience more than consciousness, theses on AI regulation

the risk from AI is wiring it into everything, colorful syntax highlighting impedes comprehension, what Forward Deployed Engineer should mean

A guide to exchanging criticism or praise in teams

a short post

two worrying explanations around the RubyGems hack, agents aren't so much super-intelligent as super-persistent, Uncle Bob's harness is obviated, regulation of AI and competition with China

Nail your narrative and storyline before you ever open a slide app.

Comparing engagement on recent social media posts

dealing with AI's counterfeit utility, exasperated readers of LLMs, missing Creating Passionate Users, agents lack Verum Factum, three people making key decisions on AI

Most of the time, we shouldn't use a presentation

Notes from my Thoughtworks colleagues on AI-assisted software delivery

Or, perhaps the problem isn't that AI has broken code review, maybe it’s that we've been using code review to solve the wrong problems

LLM cliché highlighter, architecture for long-horizon autonomous agents, Continuous Integration and agents, AI-generated super-viruses, prolific academic ghosts

For data to be used by agents, we need to understand how the data needs to be different for machines than for humans

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Why building an app over the weekend isn't the same as building enterprise software

I propose "Practitioner Voice" to label a writing style with important differences to academic writing and thought-leadership

fragments 18 Aug 2026

Notes from my Thoughtworks colleagues on AI-assisted software delivery

Notes from my Thoughtworks colleagues on AI-assisted software delivery

Use subagents to protect the orchestrator's working memory, not just to save time or run tasks in parallel.

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Lessons from modernizing a Java 1.5 codebase with AI, a stable Docker environment, and test-guided incremental refactoring.

Why Domain-Specific Languages and good abstractions make LLM code generation reliable and reviewable.

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Notes from my Thoughtworks colleagues on AI-assisted software delivery

Notes from my Thoughtworks colleagues on AI-assisted software delivery

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AI helping pharmaceutical researchers query decades of information buried in PDF reports

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A practical walkthrough of computational sensors on the path to production, with a deep dive on ESLint and static analysis as feedback for coding agents.

Engineering guardrails teams must adopt to move safely from vibe-coded AI prototype to production.

A practical walkthrough of computational sensors on the path to production, with a deep dive on ESLint and static analysis as feedback for coding agents.

A practical walkthrough of computational sensors on the path to production, with a deep dive on ESLint and static analysis as feedback for coding agents.

fragments 14 May 2026

To give an LLM context, I can ask the LLM to interview me for it

What is code actually for in the era of LLMs.

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A structured approach to using prompts to guide AI-assisted programming.

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