The Branchpost blog
Posts on developer publishing, AI-assisted content, the GitHub-as-CMS workflow, and what we're learning while building Branchpost.
Why blog posts belong in your monorepo, not a SaaS dashboard
Content is code-adjacent. It ships with releases, needs review, and benefits from version history. Here's why the dashboard is the wrong surface for AI writing tools, and what changes when drafts arrive as pull requests instead.
Frontmatter as a contract between AI and your CMS
Why the YAML block at the top of every MDX file is the most important interface in an AI content pipeline, and what breaks when you treat it as decoration.
How to review an AI-generated draft before you merge it
A code-review mental model, ported to prose. What to read for, what to ignore, and where AI drafts most often fail in ways line-by-line review misses.
The cost shape of an AI content pipeline
Where tokens actually go in a Branchpost generation run, why retries dominate the bill more than people expect, and how prompt caching changes the math.
Writing prompts that produce code-aware blog drafts
How Branchpost turns repo signals into prompt inputs so drafts reference real files, real commits, and real decisions instead of generic AI filler.
Publication context: the missing input for AI writing tools
Why 'site type, audience, tone, claims to avoid' matters more than any prompt-engineering trick.
Notes against AI slop in developer blogs
A practical taxonomy of the patterns we filter out — and the ones that need a human to catch.
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