Claude Code for product managers: a practical guide, no engineering background needed
What a product manager can do with Claude Code, how to set it up without an engineering background, and how to give it your customer and product context.
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Product management in the AI era, company context and knowledge graphs, and building with AI coding agents.
A six-step process to get product feedback from calls, tickets and Slack into one list, rank it by customers and revenue, and turn it into roadmap items.
Dovetail is built for research repositories. If you need customer feedback to turn into your roadmap, here are the alternatives, what they cost and who they fit.
Write a PRD your team and AI coding agents can build from. A step-by-step guide that starts with customer evidence, plus a free template and example.
An honest look at 9 Jira alternatives for software teams, what each is best for, and a third option: keep Jira and add the part it doesn't do.
A fair comparison of Linear and Jira for software teams: setup, scale, planning, pricing and AI. Plus the step neither handles: deciding what to build.
Six annotated PRD examples for a web app, mobile app, backend service, payments, healthcare and a marketplace, with what each type needs. Free template.
MCP gives employees access to company data. Shared context turns individual corrections into reusable, governed organizational knowledge.
A practical guide to creating a trustworthy weekly product status workflow in Claude across GitHub, Linear or Jira, and Slack.
Coding agents can search every company system. They still cannot maintain the living, evidence-linked context an organizational knowledge graph requires.
Why direct AI connections are not enough for organizational intelligence, and how a knowledge graph creates shared memory, governance, and reusable context.
A useful product knowledge graph takes more than storing data and running semantic search. See how Devplan builds for trust, evidence, and current context.
AI is making development faster and exposing how product organizations operate. What changes when strategy, execution, and company knowledge move together.
Winning teams don’t write better prompts — they engineer better context. How to structure your information environment for maximum AI agent performance.
Why your AI coding agent keeps failing: environment design, not model selection, determines agent success. How to build a harness that works.
AI makes coding fast. But intent gets lost in handoffs, creating well-built solutions to the wrong problems. Here’s how to fix the real bottleneck.
How Devplan powers real AI-assisted development: structured specs, automated workflows, and efficient feature execution at scale.
Rigorous upfront planning dramatically improves AI coding quality. See how structured specs affect output across leading AI coding assistants.
A step-by-step guide to building your first web app with AI coding tools — from idea to working product, no experience required.
A pragmatic alternative to sprint theater: how to run a delivery process that prioritizes business outcomes and customer impact over velocity metrics.
AI coding has changed what’s possible in software development. Without structured thinking and clear requirements, velocity creates chaos, not products.
How AI is transforming product management from intuition-based decisions to data-driven strategy — and what PMs need to know to stay ahead.
A practical guide for product managers on using generative AI to automate busywork, sharpen strategy, and ship better products faster.
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Devplan turns customer feedback into specs your team and AI agents can build. $100 in free credits.