FIIT.AI BlogMultilingual SEO notes distilled from public X discussions about Codex, Agent Harness, memory, tools, safety, and production agent engineering.
Anthropic and OpenAI have released new agent evaluation suites, expanding from simple code completion accuracy to multi-turn interaction safety, tool call hallucination, permission abuse detection, and more. Agent eval enters the safety alignment era.
The A2A protocol moves from draft to production validation. Google, Anthropic, and multiple enterprises release production-grade A2A implementations. Agents discover each other's capabilities via standardized Agent Cards, enabling cross-platform task delegation and collaboration.
Agentic RAG evolves from simple 'retrieve → answer' flows to multi-step reasoning where agents autonomously decide when to retrieve, what to retrieve, how to evaluate results, and whether to re-retrieve. LangGraph, LlamaIndex and other frameworks provide production-grade implementations.
Codex CLI's session management mechanism (continued conversation) is a textbook case of state persistence in agent engineering. Analyzing its session lifecycle, context window management, and state checkpoint design offers direct reference value for building production agent interaction systems.
The MCP ecosystem is building a multi-layer security model from transport to tool layer, including sandbox execution isolation, per-tool permission declarations, call audit logs, and rate limiting. These security mechanisms are key prerequisites for MCP moving from development tools to enterprise infrastructure.
The OpenTelemetry community releases agent observability extensions, supporting end-to-end agent call chain tracing (from user request to tool call to model response), per-tool latency analysis, and agent decision path visualization. Agent debugging moves from print logs to structured observability.
Agent context window management evolves from simple sliding windows to multi-level compression strategies, including keyframe retention, semantic summarization, and structured state compression. Claude Code, Codex CLI, and Gemini CLI each implement different token budget allocation schemes.
PR Review Agent evolves from simple lint checking to engineering tools with code semantic understanding, change impact analysis, and context-aware suggestions. OpenHands, CodeRabbit and other tools demonstrate new paradigms for agent application in code quality assurance.
Multi-agent orchestration evolves from hand-written workflows to four general architecture patterns: sequential pipeline, routing dispatch, broadcast aggregation, and mesh collaboration. Each pattern suits different business scenarios, and Harness designers need to choose or combine based on task characteristics.
Agent self-correction evolves from simple retry to multi-stage self-reflection: error detection → root cause analysis → fix plan → verification. Claude Code and Codex CLI implement different self-reflection and recovery mechanisms, significantly improving agent task success rates.