Context engineering tips for coding agents
Developer Apurva Mishra shares practical lessons on managing context for AI coding agents, covering how to structure AGENTS.md files, when to delegate to subagents, and how to recover gracefully after context compaction.
As coding agents become a daily workflow tool, context hygiene is becoming the differentiating skill between developers who get great results and those who fight constant drift — this post nails the fundamentals.
- –Context hierarchy matters: system instructions → harness instructions (AGENTS.md) → conversation history, in that order of influence
- –Keep AGENTS.md minimal and project-specific; only codify behaviors that consistently diverge from model defaults
- –User-guided subagent delegation beats autonomous delegation for preserving context quality
- –Context compaction (auto-summarization at ~90% capacity) isn't a failure state — just ask the model to recount its understanding to restore alignment
- –The core mental model shift: context engineering is about maintaining intent alignment, not maximizing tokens
DISCOVERED
136d ago
2026-03-15
PUBLISHED
136d ago
2026-03-15
RELEVANCE
AUTHOR
mav3ri3k