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In botany, a seed is a plant structure containing an embryo and stored nutrients in a protective coat called a testa. More generally, the term seed means anything that can be sown, which may include seed and husk or tuber. Seeds are the product of the ripened ovule, after the embryo sac is fertilized by sperm from pollen, forming a zygote. The embryo within a seed develops from the zygote and grows within the mother plant to a certain size before growth is halted. The formation of the seed is th

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Agentic AI in backend systems: where autonomy wins (and where it breaks)

Agentic AI is ready to run multi-step backend workflows, but it only pays off when you bound autonomy and design for reliability. Agentic workflows formalize goals, state, and guardrails around one or more agents, turning intelligent steps into governable processes; see this definition and separation of concerns from [Grid Dynamics](https://www.griddynamics.com/glossary/agentic-ai-workflows), alongside a 2026 outlook on role shifts and velocity gains in engineering from [CIO](https://www.cio.com/article/4134741/how-agentic-ai-will-reshape-engineering-workflows-in-2026.html) and broad enterprise adoption trends noted by [MIT Sloan](https://mitsloan.mit.edu/ideas-made-to-matter/agentic-ai-explained?_bhlid=caff052790723feb70ab1b3cf4bb7f444325a746). A practical rule of thumb: keep deterministic pipelines when steps are known and latency/cost must be predictable, and reserve agentic discretion for conditional tool use and discovery-heavy tasks; the trade-offs on latency, cost tails, and debuggability are laid out clearly in this [DEV](https://dev.to/sashido/agentic-workflows-when-autonomy-pays-off-and-when-it-backfires-27b0) guide (with SashiDo positioned as an execution substrate for agent backends). On adoption, Anthropic’s GUI-first agent runner (Claude Cowork) lowers the terminal barrier versus Claude Code, making agentic execution more accessible to non-CLI users while preserving multi-step autonomy; see hands-on notes in this [Claude Cowork review](https://aimaker.substack.com/p/claude-cowork-review-agentic-ai-guide) and a starter [Claude Code tutorial](https://www.youtube.com/watch?v=3HVH2Iuplqo), then pair that with risk-aware design: a cautionary “escape hatch” post on agent hallucinated security findings from [OpenSeed](https://openseed.dev/blog/escape-hatch/?_bhlid=d9fa13d91427f4109e48e35ccdef3d78432c6497), a delegation framework from [arXiv](https://arxiv.org/abs/2602.11865?_bhlid=2dc341bb7ee1c74fef0d92657b7571d1d90f7eb), and staged rollouts to avoid operational disruption from [HackerNoon](https://hackernoon.com/how-to-integrate-ai-agents-into-your-business-without-disrupting-operations?source=rss).

calendar_today 2026-02-20
claude claude-code claude-cowork anthropic microsoft