The Agent Skills Standard – A modular approach to LLM context
Modular context folders beat monolithic prompts for scaling AI agent instructions.
Repository Context Layer — a git-native context.md standard for AI agents: consult before planning, write back what was learned
Modular context folders beat monolithic prompts for scaling AI agent instructions.
Speculative manifesto with no shipped code or working demo.
Pay-per-proposal pricing instead of subscriptions, but PandaDoc already does AI proposals.
It turns a romantic gesture into a gimmicky startup pitch — 10 slides include things like “Competitive Analysis vs. The Ex” and “Unit Economics of Love”, with 50 humor tones to pick from. The landing is loud and confident and the feature set (tone picker, Google sign-in, instant deck) makes it immediately usable, but this is mostly a playful front-end on generative models rather than a technical breakthrough; details like which model is used and privacy around names/output are unclear.
Autonomous AI agent investigates infra anomalies within a saturated observability market.
Proposes real code diffs via Claude, unlike axe-core which just reports errors.