Define the data boundary
Separate retention promises, safety processing, and the controls your application still owns.
Read guide →Source-aware notes on coding agents, evaluation, security boundaries, and provider changes—written for builders who need operational decisions, not model hype.
Browse all articles ↗Start with data boundaries, understand the runtime, then build an evaluation and a provider exit plan.
Separate retention promises, safety processing, and the controls your application still owns.
Read guide →Build a task set and rubric that measure correctness, safety, cost, and variance.
Read guide →Turn a platform change into concrete portability, fallback, and migration checks.
Read guide →OpenAI says it intends to wind down its Cursor model contract after SpaceX acquired the coding-tool company. Here is what is confirmed, what remains uncertain, and how teams can reduce model-provider lock-in now.
Tencent has released and open-sourced Hy4 preview. Here is what the official release says about its 770B/49B MoE design, one-million-token context, access, pricing, and the evidence developers should still verify.
OpenAI is previewing a safety layer for Zero Data Retention deployments. Here is what the announcement says, what it does not promise, and what teams should verify before relying on it.
A practical evaluation design for comparing coding and tool-using models on the work your product actually needs.
Anthropic says future Claude models will use invisible statistical watermarks. The useful question is not whether a detector can label every paragraph, but what the signal can and cannot establish.