·6 min read
AI agents that code: can a team of agents replace the development process?
A team of AI agents can write, review and test code end to end. How an autonomous dev team works in practice.
AI AgentsCybersecurityCustom Software
Blog
Articles on AI Agents
How to design, orchestrate and ship AI agents to production: architecture, tooling, security and real enterprise automation use cases.
14 articles
·5 min read
AI agent security: the attack surface growing faster than the controls
Adding AI agents to your operations opens a new attack surface. What it means to scan these systems and fix what the scans find.
AI AgentsCybersecurity
·10 min read
Verifiable AI Agents: Why Enterprise Trust Requires Blockchain-Grade Audit Trails
Autonomous AI agents are making decisions faster than our governance can keep up. This article argues that enterprise adoption won't scale without verifiable identity, provenance, and audit trails — and why blockchain is the natural substrate to deliver them.
AI AgentsBlockchain & Web3
·11 min read
Agent-to-Agent Protocols: How MCP and A2A Are Redefining Multi-Agent Interoperability
A technical walkthrough of the two protocols reshaping how AI agents connect: MCP for agent-to-tool communication and A2A for agent-to-agent orchestration. When to use each, how they compose, and what we've learned shipping them to production.
AI AgentsCustom Software
·8 min read
MWC 2026: The Agentic Era Is No Longer a Promise — It's Strategy
Three lessons from Mobile World Congress 2026 redefining how enterprises adopt AI: from pilot to real value, from isolated agents to orchestrated enterprises, and why company size no longer matters.
AI AgentsAI & Machine LearningStrategy & management
·14 min read
From OpenClaw to Agentor: Building Secure AI Agents in Rust
How a security audit of an open-source AI agents framework revealed Python's limits and led us to build Agentor -- a Rust-based framework optimized for code generation.
AI AgentsAI & Machine LearningCybersecurity
·8 min read
Designing Autonomous Agents with LLMs: Lessons Learned
How we architect autonomous AI agents in production -- from perception-planning-execution loops to orchestration patterns, memory systems, and guardrails.
AI AgentsAI & Machine LearningCustom Software
·11 min read
Spec-Driven Development with AI Agents: A Practical Guide
How AI agents transform spec-driven development with automated spec generation, consistency checking, and test derivation. A practical guide.
AI AgentsAI & Machine LearningCustom Software
·8 min read
Multi-Model AI Agents: Combining Claude, GPT & Open-Source
How to architect AI agent systems that combine Claude, GPT, and open-source models in one workflow -- routing patterns, cost optimization, and lessons.
AI AgentsAI & Machine LearningCustom Software
·11 min read
MCP Servers Explained: The New Standard for AI Tool Integration
Learn how the Model Context Protocol (MCP) solves the AI tool integration problem. Understand MCP server architecture, enterprise patterns, and why MCP is becoming the standard for connecting AI models to external tools and data sources.
AI AgentsAI & Machine Learning
·11 min read
How to Build an AI Agent for Enterprise: Architecture, Tools & Best Practices
A technical guide to building production-grade AI agents for enterprise — covering architecture patterns, MCP integration, LLM strategy, multi-agent systems, and best practices for reliability, security, and cost management.
AI AgentsAI & Machine Learning
·9 min read
AI Agents in Enterprises: Between the Hype and the Real ROI
A CEO's strategic framework for evaluating AI agents in the enterprise -- separating genuine ROI from hype, avoiding pilot purgatory, and scaling what works.
AI AgentsAI & Machine Learning
·10 min read
The Real Cost of Running AI Agents in Production
A COO's breakdown of AI agent production costs -- tokens, infrastructure, monitoring, and hidden expenses -- with budgeting frameworks and ROI calculations.
AI AgentsAI & Machine Learning
·10 min read
Designing UX for AI Agents: Nobody Wants to See the Prompt
A practical guide to designing AI agent UX -- covering interaction patterns, trust signals, progressive autonomy, error handling, and the invisible AI ideal.
AI AgentsAI & Machine Learning
Related case studies
Agentic Transformation in Energy & Utilities: How OrchestAI Unified AI Governance Across Business Areas
How an energy and utilities company — operating under NDA — deployed OrchestAI to govern multi-LLM access across administration, HR, operations, demand monitoring, and customer service, ending shadow AI sprawl and establishing an end-to-end audit chain aligned with regulatory requirements.
OrchestAI: Enterprise Multi-LLM Orchestration with Signed Audit and On-Premise Deployment
How Xcapit Labs built an enterprise platform for multi-LLM orchestration combining Claude, GPT, Gemini, and Ollama routing with HMAC-SHA256 tamper-evident audit chains, versioned agent catalogs, and full on-premise deployment for regulated industries.
ArgenTor: Intelligent Multi-Agent AI Framework with Code Intelligence in Rust
How Xcapit Labs built a production-grade multi-agent AI framework with code intelligence (AST analysis, diffs, 25+ rule code review, TDD), autonomous dev teams, ReAct reasoning, cost-aware routing across 14 providers, A2A protocol, WASM sandboxing, and ISO 27001/42001 compliance — 14 crates, 1514 tests, 85K+ lines of Rust.