SotaDocs Blog
Insights, guides, and updates on AI documentation and agent workflows from the SotaDocs team.
Advanced Blindspot Detection: Finding Gaps in Model Knowledge
2026-01-19
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9 min read
Learn how to detect model blindspots using probes and coverage mapping, then prioritize and fix the highest impact gaps.
AI Coding Agents in 2026: A Complete Overview
2026-01-19
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7 min read
A practical overview of coding agents in 2026, what they do well, where they fail, and how teams should adopt them.
Benchmarking Agent Accuracy: A Practical Guide
2026-01-19
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8 min read
Learn how to benchmark agent accuracy with realistic tasks, baselines, and repeatable evaluation loops.
How Context-Aware Docs Reduce API Call Errors (and Why It Matters)
2026-01-19
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7 min read
See why API calls fail with agents, how context-aware docs fix root causes, and the steps to measure impact.
Building Custom Workflows with SotaDocs Context Vault
2026-01-19
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8 min read
Design custom workflows with a Context Vault to curate sources, set permissions, and automate agent-ready context.
Context Windows Explained: Why Token Limits Matter for AI
2026-01-19
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6 min read
Understand context windows, how token limits cause truncation and errors, and the strategies that keep agents grounded.
The Real Cost of Outdated Documentation for AI Agents
2026-01-19
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6 min read
Outdated docs drive agent errors, rework, and risk. Learn how to measure the cost, stop drift, and keep context current.
Data Privacy in AI Documentation Tools: What You Need to Know
2026-01-19
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8 min read
A practical privacy checklist for AI documentation tools, covering data types, retention, vendor checks, and policy alignment.
Designing Agent-Friendly Docs: Structure, Metadata, and Retrieval Signals
2026-01-19
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9 min read
Learn how to structure docs, add metadata, and create retrieval signals so agents can find the right context fast.
Documentation Drift: How to Detect and Fix Stale Context
2026-01-19
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8 min read
Detect documentation drift with checks and feedback, prioritize fixes, and build a workflow that keeps context current.
Building a Documentation Pipeline for AI-First Development
2026-01-19
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9 min read
A practical guide to building an AI-first documentation pipeline, from sources of truth to publishing, QA, and maintenance.
MCP vs REST API: Which Integration Method Is Right for You?
2026-01-19
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8 min read
Compare MCP and REST APIs for agent integration, with decision criteria, hybrid options, and practical migration paths.
Measuring Agent Answer Quality: A Practical Evaluation Framework
2026-01-19
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9 min read
A practical framework for measuring agent answer quality with gold standards, scoring rubrics, and feedback loops.
Recursive Language Models (RLM): What They Are and How to Use Them
2026-01-19
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9 min read
A clear intro to recursive language models, where they help, where they fail, and practical patterns for safe use.
How SotaDocs Handles Private Code Securely
2026-01-19
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8 min read
A security-focused overview of how private code should be handled in documentation tools and the controls SotaDocs emphasizes.
SKILL.md: What It Is, How It Improves Context, and How to Write Agent Rules
2026-01-19
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9 min read
Learn what SKILL.md is, how it shapes agent behavior, and how to write clear rules that improve context and safety.
Summary vs Full Pack vs Vector: Choosing the Right Retrieval Mode
2026-01-19
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8 min read
A guide to summary, full pack, and vector retrieval modes, when each works, and how to choose the right one.
Version-Aware Documentation: Keeping Agents Aligned With Releases
2026-01-19
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8 min read
A guide to version-aware docs, release alignment, and how to keep agents from using stale instructions.
What is MCP? The Model Context Protocol Explained
2026-01-19
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8 min read
A plain-English guide to MCP, why it exists, how it works, and when to use it for reliable agent tool integration.
Why AI Coding Agents Hallucinate (And How to Stop Them)
2026-01-19
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9 min read
Learn why AI coding agents hallucinate, how to diagnose the root cause, and the fixes that reduce errors with better context and verification.