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Grp1

Show HN: MindCheck – Analyze your AI coding logs for over-delegation

Posted by Grp1 on Tuesday April 28, 2026 @08:30AM
from the show-hn dept.

Hi HN, I built MindCheck after running into a problem in my own AI-assisted workflow.A couple months into using Codex heavily, I realized I had delegated too much of a data pipeline without really tracking the details. When the model results degraded, I traced it back to feature-processing decisions that had quietly changed across iterations. The mistake was fixable. The uncomfortable part was...

( Read More... | 1 comment | 3 points | on HN )

Re:DeepSeek v4 on Friday April 24, 2026 @05:09AM (#47887632)

DeepSeek’s docs say V4 has a 1M context length. Is that actually usable in practice, or just the model/API limit?

Codex shows ~258k for me and Claude Code often shows ~200k, so I’m curious how DeepSeek is exposing such a large window.

Re:GPT-5.5 on Thursday April 23, 2026 @03:26PM (#47880436)

Great, thanks for clarifying :)

Re:GPT-5.5 on Thursday April 23, 2026 @03:04PM (#47880111)

Congrats on the release! Is Images 2.0 rolling out inside ChatGPT as well, or is some of the functionality still going to be API/Playground-only for a while?

Re:Martin Fowler: Technical, Cognitive, and Intent Debt on Wednesday April 22, 2026 @09:52PM (#47871490)

I like the "between artifacts" framing. One layer I'd add is proxies/metrics. In a lot of analytics-heavy systems, the real loss isn't spec -> code, it's question -> proxy. Once the proxy gets baked into acceptance criteria, dashboards, or evals, people optimize that and gradually forget it was only a proxy.