Skip to content

Claude Code Best Practices 2026 — 10 Proven Tips for Faster AI Coding

By 2026, Claude Code has become the AI coding tool of choice for many developers. But most people use only 10% of its power — open the terminal, type a request, wait for output.

How do the experts actually use it? Here are 10 best practices proven in production.

1. Inject project context with the hook system

Section titled “1. Inject project context with the hook system”

Claude Code supports four hook events: UserPromptSubmit, SessionStart, PreToolUse, and Stop.

Most people don’t know this exists. But it’s the key to keeping Claude’s context coherent — each turn automatically re-injects task state, so nothing is lost even when the context window is compacted.

{
"hooks": {
"UserPromptSubmit": [{
"hooks": [{
"type": "command",
"command": "node ~/.claude/hooks/ccg/workflow-state.js",
"timeout": 10000
}]
}]
}
}

CCG Workflow installs four hooks automatically, covering every event point.

2. Collaborate across models — don’t rely on just one

Section titled “2. Collaborate across models — don’t rely on just one”

Claude is strong at understanding and orchestration, Codex at backend analysis, and Gemini/Antigravity at frontend intuition.

Best practice: run two models in parallel during analysis (cross-validation), and use two models for review too (to avoid single-point blind spots).

CCG’s /ccg:go command judges complexity automatically and forces dual-model collaboration for anything M or larger.

3. Write code in parallel with Agent Teams

Section titled “3. Write code in parallel with Agent Teams”

Claude Code supports the TeamCreate API to spawn parallel Builder teams. Multiple agents each own a different file, never conflict, and double your throughput.

TeamCreate({ team_name: "impl-team", description: "parallel implementation" })
Agent({ team_name: "impl-team", name: "dev-1", prompt: "only edit src/auth.ts..." })
Agent({ team_name: "impl-team", name: "dev-2", prompt: "only edit src/routes.ts..." })

CCG’s full-collaborate strategy uses this automatically on L+ complexity tasks.

Large tasks run across multiple phases. Place a HARD STOP at each critical checkpoint — forcing the agent to wait for your approval before continuing.

Bad habit: letting Claude run end-to-end from analysis to implementation unattended. Good habit: analyze → STOP → plan → STOP → implement → review.

CCG’s strategy files have HARD STOP gates built in, and they never get skipped.

5. Persist tasks so disconnects don’t hurt

Section titled “5. Persist tasks so disconnects don’t hurt”

Long tasks fear context loss most. Write task state to the file system (.ccg/tasks/task.json) and re-inject it each turn via a hook.

Even if the session is compacted, the terminal closes, or you switch to a brand-new session, the state survives.

6. Unify coding standards with a Spec system

Section titled “6. Unify coding standards with a Spec system”

Write your project’s coding conventions under .ccg/spec/. CCG’s subagent-context hook injects them automatically into every external-model call.

Every model — Claude, Codex, Antigravity — reads the same spec, so output style stays consistent.

7. Antigravity CLI — the Gemini CLI replacement

Section titled “7. Antigravity CLI — the Gemini CLI replacement”

Google released Antigravity CLI in 2026 to replace Gemini CLI (which stops serving on June 18). CCG v3.1.0 fully supports it as the default frontend model.

After installation, agy -p "prompt" just works — codeagent-wrapper adapts automatically.

It’s not only Claude calling Codex; you can flip it. Codex reads AGENTS.md, orchestrates autonomously, and spawns sub-agents to write code in parallel.

The X option in the CCG menu installs Codex-Led mode, which spawns parallel sub-agents automatically on L+ complexity.

Every change over 30 lines automatically triggers a security scan, quality check, and change analysis. No manual runs needed.

CCG’s ~/.claude/rules/ccg-skills.md defines the trigger rules, and Claude executes them automatically.

Review isn’t one-and-done. CCG’s Ralph Loop: dual-model review → find Critical issues → auto-fix → re-review → until it passes.

Up to 3 rounds; Critical issues are auto-fixed without asking, and Warnings don’t block.


TipToolEffect
Hook context injectionCCG’s 4 hooksContext never lost
Multi-model collaborationcodeagent-wrapperCross-validation
Agent TeamsTeamCreate2-4x parallel speed
HARD STOPstrategy gatesPrevents drift
Task persistencetask.json + hookDisconnect recovery
Spec system.ccg/spec/Unified standards
Antigravity CLIagy backendGemini replacement
Codex-LedAGENTS.mdReverse orchestration
Quality gatesauto-triggered rulesZero manual effort
Ralph Loopiterative reviewAuto-fix

One-command install: npx ccg-workflow

Everything above works out of the box.