DeepSeek Harness: preview status and a practical evaluation boundary
DeepSeek links Harness as a developer preview. Separate that verified status from runtime assumptions and validate a small task before adoption.
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AI coding
7 research articles and engineering guides tagged “AI coding”. Each opens with a concise answer and links to primary evidence.
DeepSeek V4 Pro retirement: check the scheduled Flash routing change
Replace stale Pro launch benchmarks and price ratios with a controlled, attempt-level evaluation of accepted changes, failures and review effort.
Read researchAI coding cost per accepted task: a reproducible worksheet
Measure model usage, retries, compute and review effort per accepted change instead of relying on old launch prices or headline discount percentages.
Read researchGLM-5.2 for global developers: model evidence and evaluation steps
Evaluate GLM-5.2 using its official model card, provider requirements and reproducible coding tasks, without regional-market assumptions or unverified rankings.
Read researchDeepSeek V4.1 Flash: latest API model and migration guide
DeepSeek V4.1 Flash is live. Use deepseek-flash, understand the legacy aliases and the scheduled V4 Pro switch, and distinguish MonkeyCode free access from API billing.
Read researchDeepSeek V4.1 Flash API guide: a minimal request and checks
Use a documented DeepSeek model alias in a minimal Python request, then test tool behavior, errors and usage before migrating a coding workflow.
Read researchWhat Is Vibe Coding? A Practical Guide for Engineering Teams
Vibe coding, coined by Andrej Karpathy in 2025, builds software from natural-language intent and AI generation—what it is, where it works, and its limits.
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