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AI Coding Agents

How AI coding agents work: architecture, workflows, repository understanding, planning, tool use, pull requests, testing, and autonomous software engineering.

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AI Coding Agents

How AI coding agents work: architecture, workflows, repository understanding, planning, tool use, pull requests, testing, and autonomous software engineering.

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How to Install DeepSeek Harness: A Developer-Preview Guide to the Plugin-First Coding Agent

Learn how to install DeepSeek Harness from npm or source, understand its plugin-first design, and decide whether a fast-moving developer preview belongs in your coding workflow.

AI Coding Agents

How to Control an iPhone with an AI Agent Using Phone Harness

See how Phone Harness connects an AI agent to a real iPhone through macOS iPhone Mirroring, including setup, OCR, HID input, permissions, and limits.

AI Coding Agents

Symphony Context Engineering for Agents

Symphony context engineering helps autonomous agents use architecture, dependencies and prior decisions before implementation.

AI Coding Agents

OpenAI Symphony Large Codebase Agents

Symphony large codebase agents need repository understanding, not just isolated autonomous implementation runs.

AI Coding Agents

AI Agent Evaluation Framework for Production

Build a production AI agent evaluation framework with scenarios, traces, safety checks, regression controls and decision-ready metrics.

AI Coding Agents

Open Source AI Agent Projects 2026? 8 Rising Repositories and One License Trap

Eight fast-rising AI agent GitHub projects, mapped by stack layer, license, maturity, workflow fit, and claims teams should verify.

AI Coding Agents

Share Context Between Pi and Claude Code

Share context between Pi and Claude Code with AGENTS.md, a Claude import, tool-specific Skills, and revision-bound repo facts.

AI Coding Agents

Pi Claude Code Context Engineering

Separate Pi and Claude Code procedures, persistent instructions, session state, and tool-neutral repository facts.

AI Coding Agents

Pi vs Claude Code Large Codebase Context

Compare Pi and Claude Code on large-codebase context with a controlled evidence protocol instead of feature-count claims.

AI Coding Agents

Multica Multi-Agent Context Consistency

Keep Multica multi-agent context consistent with source, version, expiry, ownership, and human escalation rules.

AI Coding Agents

Editorial review · AI coding guide

What this page is based on

The guide connects an editorial claim to its dated source record and adjacent implementation context.

Review basis
AI coding guide record and linked primary evidence
Last checked
the current editorial review

The dated evidence on this page is the basis for the editorial summary.