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Coding Agents 2026

A collection of 4 issues

Help Agents Help Themselves: Orchestration Patterns That Make Failure Cheap

Niels Bantilan's talk at Coding Agents 2026 reframes the agentic reliability problem: we obsess over semantic correctness, but production failures often live in the infrastructure layer. Here's what durable agent design actually looks like.

Sub-Agents, Not Swarms: What Pinterest Learned Productionizing LLM Training With Coding Agents

The question of how to architect multi-agent systems for production workloads doesn't have a settled answer yet. Pinterest's Growth AI team tried both sub-agents and swarms for LLM post-training, and their results challenge some common assumptions.

Evals Are How Serious AI Practitioners Ship Without Vibes

There's a gap between teams that ship AI features based on gut feel and teams that actually know whether their system is working. Most teams are on the wrong side of it and don't realize it yet.

The Necessary Evolution of "Research, Plan, Implement" as an Agentic Practice in 2026

"Vibe coding" gave way to RPI, and now RPI is evolving into something more rigorous. Dexter Horthy's QRSPI breaks down where the original Research, Plan, Implement pattern fails in the real world and shows what a more disciplined agentic workflow looks like in 2026.