EDITION #7

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The Builder

Agents, agents, agents. This month's issue is mostly agents doing things without being watched: agents importing Figma designs, agents writing to git without a human checking the diff, agents running for months without a check-in. Somewhere in there, TypeSafe shipped a model that can't hallucinate because it never generates strings in the first place. Make of that what you will.

Also inside: a macOS notch that tracks whether your six different coding assistants are working or stuck, and a dictionary for the fifty new terms you now have to know to talk about any of this. Dig in below.

Blogs & Projects

  • Import a Figma design into Webflow with one promptImport a Figma design into Webflow with one prompt
    One loose prompt with the Figma and Webflow MCP connectors turned an empty site into a full build — design tokens, classes, components, and assets all in place, no custom import tool required.
    Stefan Judis
  • AI Models Guide 2026AI Models Guide 2026
    Not new, just a resource I keep updated weekly: every major model compared side by side, cost, context window, and what each one is actually best at.
    Luke Stahl

Links I like

  • Git at any scale: Cursor replaced quorum-based replication with a write-ahead log in S3, so pushes stay linearizable and reads scale to any number of replicas. Read more Vicent Marti
  • Build it live - an agentic Webflow workflow, start to finish: Stefan Judis walks a live build with the Webflow MCP server at Webflow Conf, from setup to code components and CMS data. Read more
  • Understand-Anything: A Claude Code plugin that turns your codebase into a clickable knowledge graph, with guided tours and semantic search built in. Read more EgonexAI
  • ASD-STE100 skill: A Claude Code skill that rewrites tool descriptions and error messages using aerospace maintenance-manual writing rules, so agents parsing the output can't misread it. Read more Dustin Yuchen Teng
  • Introducing Hybrid Compute on Mac: The article provides insight into the integration of hybrid compute capabilities on Mac, detailing how it enhances performance by allowing seamless task distribution between local and cloud resources. Read more
  • AI Evals: A Hands-On Guide for Product Teams: Unit tests don't work on LLMs since output varies run to run. Teresa Torres breaks down error analysis and the four eval types you'd pick between instead. Read more Teresa Torres
  • Nango: Handles auth, syncs, and MCP tool exposure for 1,000+ APIs, so agents and products connect to third-party services without you building the integration layer from scratch. Read more
  • Introducing Cursor Projects: A coordinator agent that delegates to subagents, holds context across months of work, and runs recurring tasks like migrations and design-system cleanup without being prompted. Read more Alexi Robbins & Fredrika Lindh
  • Codenotch: A macOS notch showing usage limits across Claude Code, Cursor, Codex, and a dozen other coding assistants at once, with live status when a session finishes or gets stuck waiting on you. Read more Vinz
  • OpenAI's Agents API: Codex's harness as a managed API, with long-session context management, tool search, and subagent support for parallel work. Read more
  • AI Coding Dictionary: 69 terms for agentic coding, from tokens and context windows to handoff patterns and failure modes like attention degradation and the "smart zone to dumb zone" drift. 3D graph at aicodingdictionary.com. Read more Matt Pocock
  • Introducing System One Models & Jev: Instead of generating strings token by token, Jev outputs typed structured decisions in parallel, no chat, no hallucination risk, at 70-500ms per call versus seconds for a comparable LLM. Read more Diogo Almeida
  • Bun 1.4: +1,517 more Node.js tests pass, idle CPU drops 5x, memory drops up to 35%, and startup is 50% faster on Linux. Bun also rewrote its runtime from Zig to Rust. Read more Jarred, Ciro, Dylan, Alistair & Sosuke

Technology was a mistake

Technical & Developer Marketing Jobs

Folks to follow


That's it for September. If you're rethinking how your team talks to developers, I'm probably thinking about the same stuff. Find me on LinkedIn or X.

— Luke

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Developer Writing Assistant

Handbook
Developer Marketing Handbook

Goals

Developer marketing builds trust first, pipeline second.
The work connects your product to how developers actually build and helps that credibility translate into adoption and revenue.

A great developer experience is the foundation. It starts with discoverability, continues through docs, and carries into the product itself. Good documentation shortens time to value and builds confidence that your product can scale with real teams. Developers trust what they can inspect, so show how the product works and let the system speak for itself.

Success isn't clicks or vanity metrics. It's measurable engagement that creates product-qualified leads, builds influence across teams, and contributes to both product-led and sales-led growth.
When developers use your product by choice and advocate for it inside their company, you've done the job right.

Strategy

Start with reality, not aspiration.

Map where your product fits in the developer workflow, then help them do that job faster or with less friction.

Lead with clarity. Explain what it is, what it does, and why it matters.

Show the system behind the product. Architecture, examples, and tradeoffs explain more than positioning ever will.
If you can do it in a clever or playful way that still feels authentic, that's bonus points.

The best developer marketing respects time, delivers value, and makes something complex feel obvious.

Journey

Awareness → Evaluation → Adoption → Advocacy.
Each stage should connect clearly to the next.

Awareness happens in places developers already spend time: GitHub, Reddit, newsletters, blogs.
Evaluation happens in your docs, demos, and sandboxes.

For most developers, the docs are the real homepage, so accuracy and structure matter more than polish.

Adoption depends on how fast they reach first success.
Advocacy is when they start teaching others what they learned from you.

Personas

Create personas based on who buys the product and who actually uses it. For example:

Buyers: CTO or Engineering Leader, Senior Engineer, Implementation Architect.
Users: Frontend, Full-stack, App Developer.
Adjacent: Ops, Product, Design.

Each persona has different pain points and goals.
CTOs and Engineering Leaders care about governance and ROI.
Senior Engineers look for performance, flexibility, and code quality.
Implementation Architects focus on how well a tool integrates and scales.
Write for what each person owns, not what you wish they cared about.

These categories are shifting. PMs and designers who build with AI tools aren't adjacent anymore. They're users. Update your personas to reflect how people actually work, not how the org chart defines them.

Messaging

Be clear first. Be clever only if it helps.
Make every message easy to scan. Lead with the point before expanding on it.
Good developer messaging is specific, practical, and rooted in how people actually build.

Clarity earns trust, but a bit of personality makes it stick.
The goal isn't to sound like marketing. It's to communicate something real that developers recognize and care about.

Build around three pillars:

  • Speed: faster builds, fewer tickets
  • Efficiency: consolidated stack, lower maintenance
  • Control: safe scale, long-term confidence

If you can back it with code, data, or proof, keep it.
If it only sounds good, cut it.

Campaigns

Treat campaigns like product launches.
Plan, ship, measure, repeat.

Each campaign should answer three questions:

  • What developer problem are we solving?
  • What proof are we showing?
  • What happens next?

Treat developer feedback like bug reports and close the loop quickly when something needs to be corrected or clarified.

Make it easy for developers to try, test, or share.
Run retros on every launch and capture what worked, what didn't, and what to change next time. Always learn from what you launch.

Content

Write with clarity and intention. Every piece should help developers build faster, learn something new, or solve a real problem.

Strong content earns attention because it's useful.
Lead with the outcome or insight, then show how to get there. Make it easy to skim from top to bottom.
Show working examples, explain tradeoffs, and include visuals or code where it helps understanding. If it doesn't teach or demonstrate something real, it doesn't belong.

Core content types

  • Blog posts: tutorials, technical breakdowns, or opinionated takes grounded in experience.
  • Guides and tutorials: step-by-step instructions that lead to a working result.
  • Integration or workflow content: explain how tools connect and where they fit in a developer's process.
  • Technical guides and code examples: deeper material for experienced readers who want implementation detail.
  • Explainer or glossary content: clear, factual definitions written to answer specific questions directly.
  • Video or live sessions: demos, interviews, or walkthroughs that show real workflows.
  • Research and surveys: reports or insights that help developers understand the state of their field.

Content strategy buckets

  1. Awareness — generate buzz and discussion. Hot takes, thought leadership, or topics that invite conversation.
  2. Acquisition — bring new developers in through problem-solving content. Tutorials, guides, and explainers that answer real questions.
  3. Enablement — help existing users succeed. Deep tutorials, documentation extensions, and practical how-to content with long-term value.
  4. Convert Paid — drive upgrades or signups. Feature-specific walkthroughs or advanced use cases that show value worth paying for.

Each piece should fit into one of these buckets and serve a clear purpose. Awareness earns attention. Acquisition builds trust. Enablement drives success. Convert Paid turns success into growth.

Clarity is the standard. Use it to earn credibility.

Community

Reddit. GitHub. Discord. Slack. YouTube and other social platforms.
Join conversations, don't start pitches.

Be helpful. Add context. Share working examples.
When your content becomes the answer people link to, you've earned credibility.

Metrics

Measure adoption and revenue, not reach.
Awareness is useful, but only if it drives activation or expansion.

Focus on signals that show impact:

  • Product or API usage
  • Time to first success
  • Product-qualified leads
  • Developer-influenced revenue
  • Retention and repeat engagement

The goal is to prove that trust earned from developers shows up later in product usage and revenue.

Developer Marketing Skill

I built a Developer Marketing Skill for Claude that helps evaluate content, strategy, and campaigns against the principles in this handbook.

Use it to stress-test messaging, review technical content, plan developer campaigns, or get feedback on positioning. It applies a "trust first, pipeline second" philosophy with an emphasis on clarity, technical credibility, and measurable engagement.

Need more resources?

Check out my curated collection of developer marketing tools, newsletters, and resources.

ESC