Multi-Agent Orchestration on AWS With AgentCore Runtime and A2A
Most agent projects start the same way: one model, one prompt loop, three or four tools. That's the right place to start, and for a lot of workloads it's also the right place to st...
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Most agent projects start the same way: one model, one prompt loop, three or four tools. That's the right place to start, and for a lot of workloads it's also the right place to st...
AI coding agents are moving software automation beyond code completion toward systems that can inspect repositories, choose tools, edit files, execute tests, and iterate until an e...
OpenAI recently introduced a managed Agents API to help businesses build custom artificial intelligence agents with less manual labor. This new tool manages the underlying infrastr...
AI agents are having a moment. Coding assistants like Cline and Claude Code, customer-support bots, DevOps copilots — they're moving from demo reels into real workflows fast. It's...
Привет! Я Сергей Житинский, основатель Git in Sky. Мы занимаемся эксплуатацией и технической поддержкой ИТ-инфраструктуры. Agent-Ops — проект открытой отраслевой методологии совмес...
Docker Agent is an open-source, Apache 2.0-licensed CLI plugin built by Docker Engineering, installed and run as docker agent. Its own tagline states the goal plainly: run AI agent...
Spending cycles manually writing tests, or constantly updating brittle automation, can feel like a Sisyphean task. We know comprehensive testing is crucial for stable applications,...
An AI agent that runs on your server, remembers past actions, and executes scheduled jobs unattended can be incredibly useful. It can also introduce real risks. Here’s how to build...
Gartner forecasts that task-specific AI agents will be integrated into 40% of enterprise applications by the end of the year. That’s up from less than 5%. The systems meant to cata...
Engineering teams adopting the AI-Driven Development Lifecycle (AI-DLC) often struggle to turn concepts into working code. This post walks through two reference implementations on...
We built a nine-agent pipeline that turns a natural language use case into working code, an interactive preview, and an implementation guide in under 4 minutes. It serves roughly 8...
Analyze repositories with multi-agent AI to uncover security, architecture, performance, and code quality issues, reduce technical debt, and prioritize fixes.
An AI agent is an "autonomous software program that uses artificial intelligence to make a plan, execute tools, and complete an action." Autonomy (through AI) plus tools is what ma...
When AI knows how to resolve a ticket, teams still need a way to decide how much it can do on its own. Today, that often means choosing between keeping a human in charge of every a...
Pizza Bot is an open source, self-hosted inbox for AI agents built on DeepAgents and LangGraph. It combines persistent task state, MCP integrations, configurable approvals, and sch...
Multi-agent systems fail in ways traditional monitoring misses. This post presents a dual-layer approach to monitoring production agents: Amazon Bedrock AgentCore Evaluations for c...
Building an AI prototype is easy, but operating autonomous agents at scale requires production-grade tooling. Salesforce Agentforce bridges the gap from "vibe coding" to enterprise...
Originally appeared on Shopify Engineering.We built Remote Dev so AI agents can build and test apps in parallel, without maxing out developers’ laptops.
An insurance firm's AI pilot failed. A forward deployed engineer embeds with the team, finds the real problem, and ships what actually works.
<div><img width="300" height="150" src="https://blogs.vmware.com/wp-content/uploads/2026/08/illus-ai-ml-responsible-1.jpg" class="attach...
Context engineering is becoming essential as AI agents take on more software development work. An agent can plan, code, test, investigate incidents, trigger CI, and help deploy sof...
What is IAM for AI agents? AI agents authenticate, invoke tools, and act across enterprise systems with delegated authority. IAM for AI Agents is the identity-control architecture...
Что делать, когда процесс разработки с ИИ-агентами уже устоялся, но всё ещё приходиться сидеть рядом с ними и ждать, когда они закончат очередной этап работы, чтобы запустить следу...
Autonomous test orchestration lets an agent decide what runs, where, and what broke. See the four decisions, a working config, and which calls to keep gated.
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