5 Ways to Reduce Your AI Coding Spend by 50%

AI coding assistants are powerful, but they can be expensive. Here are 5 proven strategies to cut your costs in half.

1. Use the Right Model for the Task

Not every task needs Claude Opus. Use this guide:

| Task | Model | Cost |

|------|-------|------|

| Typo/formatting fixes | Haiku | $0.01 |

| Simple bug fixes | Sonnet | $0.10–0.30 |

| Complex features | Sonnet | $1–5 |

| Architecture decisions | Opus | $5–15 |

**Savings: 30–40%**

2. Compress Your Context

Long conversations consume more tokens. Use `/compact` to summarize the context when it gets long.

Before: 200K tokens ($0.60)

After compact: 50K tokens ($0.15)

**Savings: 60–75% per conversation**

3. Be Specific in Prompts

Vague prompts lead to retries. Each retry costs the same as the first attempt.

❌ "Fix the bug"

✅ "The login form returns 401 when the email contains a + character. Fix the regex validation in auth.ts line 42."

**Savings: 50% fewer retries**

4. Avoid Pasting Large Files

Instead of pasting an entire file, reference it by path:

❌ *pastes 500-line file*

✅ "Look at src/components/Dashboard.tsx and fix the state management in the useEffect hook"

**Savings: 80% fewer input tokens**

5. Monitor and Alert

You can't optimize what you can't see. Use CostDog to:

Track spending in real time

Set daily budget alerts

Identify which models cost the most

Find sessions that burned the most tokens

**Savings: 20–30% through awareness**

Combined Savings

If you apply all 5 strategies:

**Before:** $200/month

**After:** $80–100/month

**Savings:** 50–60%

The key insight: AI costs are manageable — you just need visibility and discipline.