Coding agents ship code faster — who debugs it? Context, not models, is the bottleneck
vasanth7781 · reddit · 2026-10-11
A developer highlights a structural blind spot in the coding-agent hype: writing code is getting automated, but figuring out why production broke for a real user remains fully manual.
- Pain points: customers often hit a bug and silently churn; failures don't throw clean errors so nothing alerts; triage means reading logs, querying databases and guessing user behavior — the author once spent hours on a checkout bug he never found.
- His core claim: the blocker isn't the model, it's context — the bug lives in what one specific customer did, not in the repo.
- His in-progress approach: an AI debug agent that starts from the customer's session, reads the code as it existed at the live version, locates the line, and opens a PR.
He also opens discussion: is debugging harder to automate than code generation? How much autonomy would you grant an agent — read-only, PR, or fix-and-deploy?
Related event: Coding agents write code, but who debugs it in production?(2 posts)→
More from coding & agent
- Dev ditches Codex for game UI work after finding Claude Code output looks far better — tristanbob · 2026-10-11
- LoreKit keeps coding-agent memory at a fixed 3,000 characters, even with 60,000 entries — madsthines · 2026-10-11
- Dev hits 100K+ GitHub stars across 64 repos, ranked ~79th globally — AlchainHust · 2026-10-11
- Cantrip Launches GoToMarket MCP Server to Help Developers Find Customers — modelcontextprotocol · 2026-10-11
- Hive Dispute Offers Agent-to-Agent Arbitration With On-Chain Settlement — modelcontextprotocol · 2026-10-11
- 17 iterations with a personal agent: steering beats tool-picking for live website edits — sujingshen · 2026-10-11