2+ day, 1+ hour ago   (1399+ words) Coding assistants are evolving beyond autocomplete. Here's how coding agents are changing software development and why human judgment still matters. A few months ago, I saw something that made me rethink what coding assistants are actually capable of. A teammate…...

3+ day, 1+ hour ago   (634+ words) A chatbot can explain data, summarize a screen, or answer questions, yet the application still behaves largely as before: business state lives elsewhere, actions remain disconnected from model output, and the interface is reduced to a transcript. Agentic UI takes…...

3+ day, 4+ hour ago   (731+ words) This piece covers the managed AI teammate apps, the open-source runtimes you host yourself, and the developer frameworks you write code. Before the table, it helps to sort these into buckets, because comparing CrewAI to Grok Bot is like comparing…...

3+ day, 23+ hour ago   (700+ words) Three primitives matter here: Before touching any code, it's worth naming these explicitly, because the hands-on steps below each map to one of them. The first three are about who can operate the system. The fourth is about whether the…...

4+ day, 39+ min ago   (733+ words) Deploy agentgateway as a security proxy between Goose AI agents and Quarkus MCP servers to enforce JWT auth, RBAC, and tool-poisoning guardrails. This article answers those questions by placing agentgateway — the Linux Foundation's open-source proxy for agentic AI traffic — between…...

5+ day, 3+ hour ago   (722+ words) Databricks Lakebase introduces database branching, giving each agent an isolated workspace to safely experiment, test changes, and merge validated updates. There's an awkward moment in every agentic data project. The agent works. It writes decent SQL, it reasons about schema,…...

5+ day, 2+ hour ago   (708+ words) Single AI agents fail during incidents. Four specialized agents — supervisor, telemetry, reasoning, action — handle observability more reliably. Usually it doesn't fail catastrophically. It fails quietly, in ways that are hard to debug. And quiet failures during incident response are the…...

5+ day, 4+ hour ago   (1022+ words) Learn how to test, monitor, and deploy reliable agentic AI and multi-agent systems in enterprise environments using modern testing and CI/CD strategies. With industry analysts recording a massive surge in multi-agent system deployments, including a staggering 1,445% increase in enterprise…...

5+ day, 23+ hour ago   (696+ words) Past ~20-30 tools, sending every schema every turn hurts cost and accuracy. A lexical scorer plus a registry-search hatch fixes most of it — no embeddings needed. I stumbled onto this pattern while building agents with Deep Agents, watching a tool registry…...

6+ day, 6+ hour ago   (814+ words) Learn how to build a production-ready multi-agent AI framework in Python that improves reliability, reduces hallucinations, and scales enterprise LLM workflows. Through these failures, I realized the core problem: we are expecting a single inference step to manage an entire…...