GitHub's "Agent of the Day" highlights a PR-focused Copilot workflow

What changed: GitHub published a spotlight on a production Copilot workflow called “PR Sous Chef” that checks open pull requests every 15 minutes, decides when human attention is needed, and triggers targeted Copilot actions only for those PRs.

Why it matters: this is a concrete example of how teams can run lightweight, opinionated coding agents that reduce noise by performing read-only triage and only invoking a model when there's a clear, actionable gap — a pattern founders and engineering managers can replicate to speed reviews without flooding PRs with automated comments.

Try/watch: try a narrow scheduled agent that runs read-only checks (lint, CI status, stale branches) and only opens an actionable task or Copilot request when a rule fails; watch for over-triggering and ensure audit logs capture why each agent action ran.

SonarSource quantifies the "context tax" and ships an agent-friendly code graph (Sonar Vortex)

What changed: SonarSource published measurements showing coding agents pay large, repeated token costs when they rely on file greps and whole-file reads; it describes Sonar Vortex (with a Unified Dependency Graph called SemSitter) that answers targeted navigation queries so agents carry far less context per turn.

Why it matters: the post gives practical, measurable leverage — by replacing blind file reads with a semantic graph query, teams can cut token costs, reduce model round-trips, and improve correctness in large codebases, which directly lowers operating cost and reduces the risk of agent-driven misnavigation that causes CI breakage.

Try/watch: instrument a single-agent workflow to compare token use and round-trips with/without a code-graph navigation layer; if savings are material, prioritize integrating a graph-based navigator or a similar semantic index to reduce both cost and accidental misedits.