AI Tools for Developers — Complete Guide: Every Tool You Actually Need

// ❌ Vague prompt — gets vague answers
"My code doesn't work, help me fix it"

// ✅ Effective debug prompt — structured context:
/*
I'm getting this error:
[paste the full error message + stack trace including file names and line numbers]

My code:
[paste the relevant function or component — 20-100 lines]

What I expected to happen:
[describe the expected behavior]

What actually happens:
[describe the actual behavior]

Environment:
- Node.js 20, React 18, Next.js 14
- Only happens when: [specific condition]

What I've already tried:
- console.log showed X
- Checked that Y is not null
- Reverted commit abc123 — still happens
*/

// Concrete example:
/*
Error: TypeError: Cannot read properties of undefined (reading 'map')
  at ProductList.render (ProductList.jsx:23:27)

Code:
const { data: products } = await fetchProducts();
return products.items.map(p => <Product key={p.id} {...p} />);

fetchProducts() returns: { data: [...], total: 10 }
// I expected products.items but the API actually returns products.data
*/

# 1. Capture the full error context automatically
node --stack-trace-limit=50 app.js 2>&1 | tee error.log

# 2. Paste error.log into Claude/ChatGPT with your code
# AI identifies: "products.items is undefined — the API returns .data not .items"

# 3. For production errors: pull logs first
aws logs get-log-events --log-group-name /app/prod --limit 100 \
  | jq '.events[].message' > prod_errors.txt
# Paste prod_errors.txt to AI with question: "what error pattern do you see?"

# 4. For performance debugging: profile first, then ask
node --prof app.js
node --prof-process isolate-*.log > profile.txt
# Ask AI: "which functions are consuming the most CPU in this Node.js profile?"

# 5. AI-assisted git bisect
git bisect start
git bisect bad HEAD
git bisect good v1.2.0
# Run tests at each step, ask AI to analyze which commit introduced the regression

# Before: undocumented function — impossible to use without reading the code
def calc_discount(price, user_type, promo_code=None):
    if user_type == 'premium':
        base = price * 0.8
    else:
        base = price
    if promo_code == 'SAVE20':
        return base * 0.8
    return base

# After: AI-generated documentation (GitHub Copilot or Claude)
def calc_discount(price: float, user_type: str, promo_code: str | None = None) -> float:
    """
    Calculate the discounted price for a product.

    Applies discounts in sequence: user tier discount first, then promo code.
    Discounts compound (both discounts apply to the previous discounted price).

    Args:
        price: Original product price in USD. Must be positive.
        user_type: Customer tier. 'premium' receives 20% base discount.
                   Any other value receives no base discount.
        promo_code: Optional promotional code. Supported codes:
                    'SAVE20' — additional 20% off the discounted price.

    Returns:
        Final price after all applicable discounts, in USD.

    Examples:
        >>> calc_discount(100, 'standard')
        100.0  # No discounts

        >>> calc_discount(100, 'premium')
        80.0   # 20% premium discount

        >>> calc_discount(100, 'premium', 'SAVE20')
        64.0   # 20% premium (→80) then 20% promo (→64)

        >>> calc_discount(100, 'standard', 'SAVE20')
        80.0   # Only promo discount applies
    """
    base = price * 0.8 if user_type == 'premium' else price
    return base * 0.8 if promo_code == 'SAVE20' else base