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All blog posts, tools, and guides about Agentic AI from Developers Digest.
7 resources - 7 posts

Andrej Karpathy gave Opus 5 the first paragraph of the Lord of the Rings, a 1M-token budget (about $10), and asked for a three.js render. Two hours and 5,500 lines of code later, the model had procedurally built a 3D world - and exposed a real weakness in how agents verify their own work.

An analysis from the Earendil team behind the Pi harness documents how OpenAI, Anthropic, and Google now return provider-sealed state instead of portable transcripts - encrypted reasoning blobs, opaque compaction, hidden subagent messages. The five tests and seven rules for session portability, and why session lock-in matters more than model lock-in.

DeepSeek re-post-trained V4 Flash into an agent workhorse: Terminal Bench 82.7, DeepSWE 54.4, native Responses API, and first-party Codex support - all at $0.14/$0.28 per million tokens. What changed, what the numbers actually mean, and how to wire it up today.

Inkling-Small is a 276B-parameter MoE with 12B active per token, Apache 2.0, and open weights. It beats the 975B Inkling on SWEBench Verified (80.2), HLE (31.6), and tool use at a quarter of the size and a third of the output price.

Andrew Ng's new AI company LearnVector aims to build one-to-one learning experiences powered by agentic AI, backed by $100M from Coursera. A look at the vision, the HN reaction, and what it means for the future of learning.

Meta's first paid API model arrives with $1.25/M input tokens, 1M context window, and strong tool-use benchmarks. HN debates what it means for the open-weights company.

Claude Fable 5's $10/$50 per million token pricing can catch teams off guard - here is how to build a real cost model before you commit.
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