Tips, tricks and gotchas from production.

Short, concrete notes on bringing AI into engineering without the pain — what works, what doesn't, and why. From real deployments, not talks.

• June 12, 2026·5 min read

  From software engineering to context engineering

  Why the developer craft is shifting from writing code to managing the context AI works in — and four concrete steps a team can take this week.

  context engineeringAI Developer ExperienceMCP servercoding agent
• June 10, 2026·5 min read

  The 5 most common mistakes when bringing AI into a developer workflow

  A practical look at the mistakes teams make most often when adopting AI into development — shadow IT, speeding up without a test net, vanity metrics, governance as an afterthought, and buying a tool instead of building a process.

  AIdeveloper experiencecontext engineeringgovernance
• June 6, 2026·5 min read

  Custom MCP servers — teaching AI to understand your own software

  A plain-language take on what an MCP server is, why a custom one beats generic prompting, and how to set boundaries so a coding agent gets deterministic, safe access to your system.

  MCPcontext engineeringAIdeveloper experience