Reddit debate: AI agent builders are forgetting basic software engineering
Dangerous_Bus4157 · reddit · 2026-10-15
A Reddit post argues that agent developers are re-learning lessons software engineering solved decades ago:
- Basics are being dropped: never trust client input; use dual-side validation, layered injection defenses, process/data isolation, and short-lived role-based tokens — all directly applicable to agents.
- Memory is a data modeling problem: without deciding what to store and how it should influence the agent, everything gets dumped as free text, and injection follows.
- Vibe coding makes it worse: one-shot generated apps cover main flows but skip deep validation and indexing; agent workflows are the same, and humans still need architecture skills for production.
The core claim: agent development should return to software engineering fundamentals rather than hoping the model handles cross-cutting concerns.
More from coding & agent
- ASU's τ-Emotion-Bench shows LLM agents stay unreliable when users get emotional — Arizona-State-University · 2026-10-15
- Huawei's SkillMarker watermarks agent skills, detecting copied passages of 1,536 tokens — Alan Tang · 2026-10-15
- 10 open-source repos for AI agent login and permissions, from Keycloak to Casbin — victor_explore · 2026-10-15
- GitHub Copilot app adds per-repo sandboxing with folder and network controls — lee_stott · 2026-10-15
- GitHub HydraFusion adds Max tier, model pool now includes GPT-6 family and Claude Opus 5.5 — lee_stott · 2026-10-15
- Xiaohongshu proposes CASI: Shapley-based credit assignment for agentic retrieval — _reachsumit · 2026-10-15