dkod Blog — Agent-native development insights

Updates, deep dives, and thoughts on agent-native development.

dkod team·Mar 16, 2026

Building a Multi-Agent Verification Pipeline

Before AI-generated code touches your main branch, it runs through lint, test, and type-check gates. Here's how dkod's verification pipeline works.

verification
tutorial
multi-agent

dkod team·Mar 13, 2026

Introducing dkod: The Agent-Native Code Platform

dkod is the open source platform that lets AI agents write, review, and ship code — together. Session isolation, semantic merging, and a verification pipeline, all under MIT.

announcement
open-source
launch

dkod team·Mar 10, 2026

Semantic Merging vs Git Merge: Why Line-Based Diffs Fail for AI Code

Git merge works on lines. AI agents work on symbols. Semantic merging bridges the gap — detecting conflicts at the function level, not the line level.

semantic-merging
ai-agents
thought-leadership

dkod team·Mar 3, 2026

Session Isolation: How We Let 10 Agents Edit Code Simultaneously

Each AI agent gets an isolated workspace overlay. Writes go to the overlay, reads fall through to the base. No file locks, no conflicts.

architecture
session-isolation
deep-dive

dkod team·Feb 20, 2026

Why AI Agents Break Your Codebase (And How to Fix It)

Multiple AI agents editing the same repo means merge hell, overwrites, and broken builds. Here's why — and how agent-native platforms solve it.

ai-agents
devtools
multi-agent

dkod team·Feb 10, 2026

How AI Agents Collaborate on Code Without Conflicts

Two AI agents. One codebase. Zero merge conflicts. Here's how dkod's Agent Protocol makes it possible.

agent-protocol
multi-agent
collaboration