Engineering Manager / Technical Lead
A topic hub collecting every article tagged Product Management. Use it to explore related posts and follow this theme across the site.
13 articles
Why OpenSpec's explore → propose → apply loop is a better default than built-in Plan Mode: lighter ceremony, durable repo-native plans, and guardrails that keep exploration agnostic until you choose to commit.
A practical workflow for using OpenSpec from exploration to proposal, implementation, quality checks, PR review, merge, and archive without letting specs drift from the code.
A practical deep dive into OpenSpec's expanded OPSX workflows and custom schemas: when to use /opsx:new, /opsx:continue, /opsx:ff, /opsx:verify, /opsx:bulk-archive, /opsx:onboard, and how to design your own workflow.
A practical, source-backed guide for engineers and PMs adopting OpenSpec: when to start with an existing project, when to use it for a new build, and how to run the first workflow safely.
A source-backed comparison of OpenSpec and GitHub Spec Kit for engineers and PMs: workflows, skills, generated artifacts, extensibility, and inferred token trade-offs.
A practical playbook for engineers and PMs facing messy problems with many possible answers, hidden risks, and no obvious best path.
AI can generate most of the code. It still cannot decide what to build, sense when 'correct-looking' output is quietly wrong, or own the consequences. A field guide to the tasks that stay human — for engineers and PMs.
A practical guide for engineers and PMs who want to use GitHub Spec Kit as an investigation workflow: compare alternatives, approve one direction, and turn the decision into a stronger implementation spec.
A practical, source-backed workflow for turning many comments on Spec Kit artifacts into clean pre-implementation decisions, post-implementation deltas, and less chaotic AI-assisted delivery.
A practical research guide for using Gherkin, BDD, Spec-Driven Development, and eval-driven workflows to make AI-assisted delivery clearer, safer, and easier to review.
A research-backed guide for engineers and PMs on what is now redundant with stronger coding agents, when a good prompt is sufficient, and when prompts need scaffolding, tools, evals, and workflow design.
Most AI programs start with intuition and optimism, then hit a harder question: can anyone prove the system is creating value? This guide turns AI adoption into a measurement problem, using baselines, outcome metrics, evals, and learning loops.
A simple, source-backed guide for engineers and PMs to start with GitHub Spec Kit, understand the main commands, and use the workflow cleanly in Cursor or Claude Code.
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