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Keyword Map for Agentic Development in 2026

A practical keyword map covering Codex, Claude agent teams, OpenClaw, skills, OpenLLM, fine-tuning, and adjacent topics developers should track.

This kickoff article defines a keyword system for producing 100 developer-focused AI posts in parallel. Use these clusters as planning tags, search labels, and backlog categories.

Core keywords

codex, claude agent team, openclaw, skills, openllm, finetuning.

Agent orchestration

subagents, task routing, agent roles, agent handoff, parallel workflows, background agents.

Model operations

model serving, quantization, latency budgeting, fallback routing, observability, model lifecycle.

Training and adaptation

supervised fine-tuning, LoRA, RLHF, dataset curation, ablation study, continuous learning.

Engineering process

git worktree, eval-driven development, test automation, CI/CD gates, PR hygiene, architecture decision records.

Platform and governance

security guardrails, data boundaries, compliance checks, skills governance, skills catalog, internal marketplace.

How to Use This Map

  1. Assign one cluster to each writing track.
  2. Pair each post with one primary keyword and two supporting keywords.
  3. Keep a shared evaluation rubric for clarity, practical depth, and reproducibility.

Parallel Publishing Workflow

  • Track A: Codex and Claude agent team operations.
  • Track B: OpenLLM and OpenClaw platform engineering.
  • Track C: Skills design, governance, and adoption.
  • Track D: Fine-tuning strategy and evaluation.