From past chats

Profile one real Go workload before optimising it

The recurring interest in small, maintainable Go tools suggests a useful next experiment: choose one command or endpoint that merely feels slow and capture a CPU profile plus a heap profile from a representative input. Keep the profiles beside a benchmark result, make only the largest evidence-backed change, then measure again. The interesting outcome may be that startup, I/O, or an external call dominates and the code needs no cleverness at all.

• Diagnostics in Go
• Profiling Go programs with pprof
• Runtime profiling package

Give a recurring prompt a tiny regression set

For an automation that evolves over time, save five representative inputs and write down one or two observable requirements for each: required sections, forbidden sources, link count, or a fact that must survive summarisation. Run the set whenever the prompt or model changes. Start with deterministic checks and manually review tone; a model grader is useful only after the simple assertions stop catching the important failures. A good follow-up question is: which failure would make you stop trusting the bulletin even if everything else looked polished?

• OpenAI evaluation best practices
• OpenAI graders guide
• OpenAI graders API reference

From the front page

Measure a stability budget for main

Rather than debating whether main must always be releasable, collect a fortnight of evidence: minutes broken, people blocked, median repair time, and how often a release branch needs a fix that is absent from trunk. Then compare the cost with the feedback time that stricter pre-merge CI would add. This turns the game-development branching contrast into a local policy decision. If release branches remain necessary, try fixing on trunk first and cherry-picking back so the two lines do not quietly diverge.

• Branching for release in trunk-based development
• Trunk-based development overview
• Google Cloud: DevOps capability—trunk-based development

Add a one-sentence field note to selected photos

The everyday walk and silhouette photographs could become a lightweight field journal without turning photography into an archival project. For one photo per outing, record the place, local time, direction faced, and one sentence about why the scene earned the shutter. Put the note in standard caption/location fields when practical, or keep an XMP sidecar for raw files. After a month, ask whether those notes make the images more interesting to revisit; if not, drop the ritual.

• IPTC photo metadata user guide
• IPTC photo metadata guidelines
• ExifTool documentation