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teds read --tag developer-content
Developer Content
Writing on tutorials, launch proof, technical education, and content that developers can use to decide.
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Need technical content that proves the product? Talk to us about technical content strategy.
Why Technical Content Is a Product Surface
Why tutorials, docs, demos, examples, and technical explainers should be treated as part of developer experience instead of marketing collateral.
BlogWhy DevRel Is Different for Research and ML Tools
Developer Relations changes when the audience is researchers, PhD scientists, machine learning engineers, and data scientists because adoption depends on evidence, reproducibility, workflow fit, and technical trust.
BlogWhat AI Builders Can Learn from Painters
A practical essay on why models are colors, not masterpieces, and why AI products need composition, constraints, technique, and taste.
BlogTurn Sales Calls Into Developer Content Strategy
How technical teams can turn repeated sales-call questions into developer content, docs, examples, and product feedback without writing sales copy.
BlogThe Developer Trust Ledger
A practical model for understanding how technical companies earn or lose developer trust through docs, demos, examples, community, and product claims.
BlogThe Anti-Playbook for DevRel Events
A practical guide to when DevRel events fail, when they are worth doing, and how to tie conferences, talks, workshops, and meetups to real developer outcomes.
BlogStop Writing Launch Posts. Start Writing Proof.
A direct guide to replacing vague product launch posts with technical proof: runnable examples, comparisons, benchmarks, failure modes, and decision support.
BlogHow to Hire a Developer Advocate Who Can Actually Build
A practical hiring guide for evaluating developer advocates on technical judgment, writing, demos, product sense, and feedback quality instead of audience size alone.
BlogHow to Evaluate a Technical Writer for AI Content
A practical scorecard for hiring or contracting AI technical writers who can write accurate tutorials, demos, explainers, and content developers trust.
BlogGenerative vs Discriminative AI, Explained for Builders
A practical explanation of when to use generative models, discriminative models, retrieval, ranking, rules, or hybrid systems.
BlogGenerative AI Is Not the Product
Why model capability is not product value, and how AI teams can move from impressive demos to useful workflows people trust.
BlogThe Future of AI Belongs to Teams That Can Explain It
Why AI teams need to build, break, and explain their systems so users, developers, buyers, and communities can trust and adopt them.
BlogFrom Model Selection to First Run
A practical workflow for choosing an initial AI model, running a baseline, inspecting outputs, and deciding what to test next.
BlogUse the Forward Deployed Engineer Model for Your DevRel
Why the Forward Deployed Engineer model beats the content-mill agency model for Developer Relations, and how to demand it when you hire an agency for your AI or devtool company.
BlogThe First AI Experiment Should Be Small and Disposable
A practical TRIAL workflow for running early generative AI experiments that test assumptions instead of turning every demo into a product.
BlogEnglish Is the New Interface
Natural language is becoming a primary way people operate software, but AI interfaces still need state, constraints, corrections, and product judgment.
BlogDevRel vs Developer Marketing vs Community: What You Actually Need
A practical guide to the differences between Developer Relations, developer marketing, advocacy, education, community, and developer experience roles.
BlogDevRel Strategy Starts With Positioning, Not Events
Why developer relations strategy should begin with audience, product relevance, and differentiation before conferences, communities, or content calendars.
BlogDeveloper Content That Doesn't Feel Like Marketing
A practical guide to writing developer content that earns trust by helping people build, evaluate, debug, and decide instead of dressing a product pitch in technical language.
BlogAI Coding for Internal Software Teams
Why non-tech companies with internal developers should train engineers to use AI coding tools with judgment instead of banning them or letting vibe coding run loose.
BlogThe Accidental AI Power User
Why the person using AI chat tools for Excel formulas, macros, reports, and internal workflows may be your company's next productivity multiplier.
BlogA 30/60/90 Day DevRel Plan for AI and Devtool Startups
A practical first-quarter Developer Relations plan for technical startups that need sharper positioning, better developer activation, useful content, and reliable feedback loops.