Ask HN: What do you currently use for AI coding (personal or professional)?
A community thread surveying which clients, harnesses, LLM providers, and local setups developers rely on for AI coding amid a fast-evolving landscape.
3 articles · 2 categories
What happened in AI — Jun 7, 2026
Sunday, Jun 7, 2026
In 30 seconds
- An Ask HN thread took the community's pulse on which AI coding tools, harnesses, and providers people actually use day to day.
- NVIDIA pushed its RTX Spark superchip — pitched for the era of personal AI agents — at Korea's PC Bangs following its COMPUTEX debut.
- AWS open-sourced ExtendDB, a DynamoDB-compatible adapter with pluggable storage backends, beginning with PostgreSQL.
A quiet Sunday with the spotlight on the practical edges of AI rather than new frontier models. The day's most-discussed item wasn't an announcement at all but a community gut-check: an Ask HN thread polling what people actually reach for in AI coding today — which clients and harnesses, which providers, which local setups — a useful snapshot of a fast-churning tooling landscape.
On the hardware and infrastructure side, NVIDIA carried its COMPUTEX momentum into Korea, promoting the RTX Spark superchip for the era of personal AI agents, while AWS's open-source ExtendDB gave developers a DynamoDB-compatible API atop pluggable storage backends, starting with PostgreSQL.
Community Pulse 1 item
A practitioner snapshot of how people are actually doing AI-assisted coding right now.
Hardware & Infrastructure 2 items
The building blocks for personal AI agents and the data layer beneath them.
NVIDIA, KRAFTON, NC and Reigning 'League of Legends' Champions T1 Celebrate RTX Spark at Korea's PC Bangs
NVIDIA carries its COMPUTEX RTX Spark launch — a superchip pitched for the era of personal AI agents — into Korea's PC Bangs, with Jensen Huang on the ground.
ExtendDB: Open Source Amazon DynamoDB Compatible Adapter with Pluggable Storage Backends
AWS's open-source ExtendDB lets developers use the DynamoDB API over different storage backends — starting with PostgreSQL — while keeping existing SDKs and tools.