Tag
Ai-Agents
49 posts filed under Ai-Agents.
Zed and DeltaDB: Version Control Between Commits
Zed's DeltaDB is a bet that AI-assisted software work needs operation-level history, conversation-linked code, and collaboration before a Git commit exists.
Magentic-UI + Fara-7B: A Local-First Computer-Use Agent You Can Actually Run
Microsoft's Magentic-UI pairs a small-model orchestrator with Fara-7B, a computer-use agent, in a local sandbox — an MIT-licensed stack worth cloning.
Microsoft Agent Framework Makes Tool and File Access Approval-by-Default
Agent Framework Python 1.10.0 and .NET 1.12.0 flip skill and file access to approval-required by default — a breaking change for production MAF agents.
AI Security: Prompt Injection, Jailbreaks, and Guardrails
Prompt injection, indirect injection, jailbreaks, and data exfiltration via tools — the real threats and defense layers that work in production AI systems.
MAF v1 — Prompt engineering (Python + .NET)
Structure prompts around identity, grounding, task rules, role context, and YAML composition so agents stay consistent over time.
MAF v1 — Deployment with Docker and Compose
Package the agent stack with one multi-target Dockerfile, one Compose file, and a dev.sh script with health gates locally.
MAF v1 — E-commerce repo guided tour (Python + .NET)
Every MAF concept from the prior chapters, mapped to the exact file and line where it lives in the live e-commerce repo.
MAF v1 — Python ↔ .NET asymmetries: a porting reference
Compare the six Python and .NET MAF API differences you will hit when porting samples, from constructors to workflow wiring.
MAF v1 — Evaluation framework (Python + .NET)
Build an eval pipeline with golden datasets, scoring, smoke/full modes, and CI gates to catch prompt regressions before release.
MAF v1 — Workflow Visualization (Python + .NET)
Render any workflow as Mermaid (GitHub-friendly) or Graphviz DOT (production runbooks). One line each, deterministic output, dark-mode-safe palette.
MAF v1 — DevUI for agents and workflows (Python)
Run MAF DevUI locally to test prompts, inspect tool calls and OTel spans, and register agents by code or directory discovery.
MAF v1 — Production hardening (Python + .NET)
Add HTTP-layer production patterns for password reset, refresh-token rotation, reuse detection, and secret rotation in APIs.
