https://dervalp.github.io/blog/ Articles on AI product leadership, platform strategy and enterprise software. en Fri, 16 Oct 2026 00:00:00 GMT https://dervalp.github.io/blog/small-bugs-should-not-wait/ https://dervalp.github.io/blog/small-bugs-should-not-wait/ Fri, 16 Oct 2026 00:00:00 GMT How we connected production logs to a coding agent that reproduces a bug, fixes it and opens a pull request, while engineers keep the merge. AI Engineering ai coding-agents engineering production enterprise https://dervalp.github.io/blog/omni-loop-agents-ship-you-steer/ https://dervalp.github.io/blog/omni-loop-agents-ship-you-steer/ Sat, 03 Oct 2026 00:00:00 GMT Why I built a delivery framework for coding agents, how the loop runs from idea to retro, and the three rules that keep people in charge. AI Engineering ai coding-agents omni-loop engineering product https://dervalp.github.io/blog/what-makes-a-codebase-agent-ready/ https://dervalp.github.io/blog/what-makes-a-codebase-agent-ready/ Thu, 25 Jun 2026 00:00:00 GMT Eight dimensions that decide whether a coding agent becomes effective in your codebase, and why the limiting factor is almost never the model. AI Engineering ai coding-agents engineering knowledge enterprise https://dervalp.github.io/blog/ai-should-generate-manifests-not-code/ https://dervalp.github.io/blog/ai-should-generate-manifests-not-code/ Wed, 08 Apr 2026 00:00:00 GMT Generated code is unpredictable, hard to maintain, and expensive to validate. There is a better way: let AI generate structured declarations, and let a deterministic runtime handle the rest. AI Engineering ai code-generation architecture open-source enterprise https://dervalp.github.io/blog/you-might-not-need-ai/ https://dervalp.github.io/blog/you-might-not-need-ai/ Fri, 03 Apr 2026 00:00:00 GMT A practical essay on when AI creates value, when it creates unnecessary complexity, and why deterministic problems often deserve deterministic solutions. AI Strategy ai strategy enterprise decision-making consulting https://dervalp.github.io/blog/five-dimensions-of-data-readiness/ https://dervalp.github.io/blog/five-dimensions-of-data-readiness/ Wed, 01 Apr 2026 00:00:00 GMT Before any AI project starts, five questions about your data need honest answers. Access, quality, ownership, compliance, and freshness. Here is what each one reveals — and what happens when you skip it. Data Strategy data readiness ai strategy enterprise https://dervalp.github.io/blog/five-questions-before-building-ai/ https://dervalp.github.io/blog/five-questions-before-building-ai/ Tue, 31 Mar 2026 00:00:00 GMT Most AI projects don't fail because of the technology. They fail because no one asked the right questions before starting. Here is how I assess readiness — and why each dimension matters. AI Strategy ai readiness strategy enterprise consulting