How to Use DeepSeek V4 Pro in VSCode with KiloCode
KiloCode is a VSCode extension that brings AI coding assistance directly into your editor. Combined with DeepSeek V4 Pro through AIWave's API, you get a powerful coding setup at a fraction of the cost of GitHub Copilot. Here's how to set it up end-to-end.
Prerequisites
- VSCode (latest stable)
- KiloCode extension (install from the VSCode Marketplace)
- AIWave API key — sign up here, get $5 free credit on signup
Step 1: Get Your AIWave API Key
- Go to https://aiwave.live and create an account (GitHub, Discord, or email login).
- Navigate to the dashboard and generate an API key.
- Copy the key — you'll need it in the next step.
Step 2: Configure KiloCode
Open VSCode and go to Settings → Extensions → KiloCode (or search @ext kilocode in settings). Configure these fields:
| Setting | Value |
|---|---|
| API Base URL | https://aiwave.live/v1 |
| API Key | Your AIWave API key (starts with sk-...) |
| Model |
deepseek-v4-pro (default) |
In VSCode's settings.json, this looks like:
{
"kilocode.apiBaseUrl": "https://aiwave.live/v1",
"kilocode.apiKey": "sk-your-key-here",
"kilocode.model": "deepseek-v4-pro"
}
Step 3: Verify the Connection
Open any project in VSCode, press Ctrl+Shift+P (or Cmd+Shift+P on macOS), and run the "KiloCode: Test Connection" command. You should see a success message confirming the API is reachable.
Step 4: Start Coding
Once configured, KiloCode works just like any AI coding assistant:
-
Inline completions: Start typing and accept suggestions with
Tab. -
Chat panel: Open with
Ctrl+Shift+P→ "KiloCode: Open Chat" to ask questions about your codebase. - Command palette: Use "KiloCode: Explain", "KiloCode: Refactor", "KiloCode: Generate Tests" for specific tasks.
Model Recommendations by Task
Not every task needs DeepSeek V4 Pro. Here's a practical guide based on current AIWave pricing:
| Task | Recommended Model | Input Cost | Why |
|---|---|---|---|
| Complex code generation | deepseek-v4-pro |
$0.42/1M | Best HumanEval score (92.1) |
| Quick completions / autocomplete | deepseek-v4-flash |
$0.14/1M | 3x cheaper, still 89.2 HumanEval |
| General chat / docs | deepseek-chat |
$0.164/1M | Cheap and fast for non-code tasks |
| Math-heavy algorithms | deepseek-r1 |
$0.605/1M | Strong reasoning, 64K context |
| Budget option (any task) | ernie-4.0-turbo-8k |
$0.001/1M | Ultra-cheap, decent quality |
Pro tip: Set KiloCode's default model to deepseek-v4-pro for quality, but create a separate profile with deepseek-v4-flash for high-volume autocomplete — it's significantly cheaper and nearly as good for short suggestions.
Real Example: Generating a FastAPI Endpoint
With KiloCode's chat panel open and deepseek-v4-pro selected, try:
"Create a FastAPI endpoint that accepts a PDF upload, extracts text using pdfplumber, and returns a JSON summary with page count and word count."
The model will generate something like this:
from fastapi import FastAPI, UploadFile, File, HTTPException
import pdfplumber
import tempfile
import os
app = FastAPI()
@app.post("/summarize-pdf")
async def summarize_pdf(file: UploadFile = File(...)):
if not file.filename.endswith(".pdf"):
raise HTTPException(400, "Only PDF files are accepted")
with tempfile.NamedTemporaryFile(delete=False, suffix=".pdf") as tmp:
content = await file.read()
tmp.write(content)
tmp_path = tmp.name
try:
with pdfplumber.open(tmp_path) as pdf:
pages = []
total_words = 0
for page in pdf.pages:
text = page.extract_text() or ""
pages.append(text)
total_words += len(text.split())
return {
"filename": file.filename,
"page_count": len(pages),
"total_words": total_words,
"preview": pages[0][:500] if pages else ""
}
finally:
os.unlink(tmp_path)
Switch the model to deepseek-v4-flash for the same prompt and you'll get comparable output at lower cost. For complex multi-file refactors though, stick with deepseek-v4-pro.
Troubleshooting
| Problem | Solution |
|---|---|
| "API key invalid" | Double-check your key in AIWave dashboard. Regenerate if needed. |
| Slow responses | Switch to deepseek-v4-flash for speed, or check your internet connection to the Singapore-hosted API. |
| Context too long | DeepSeek V4 Pro supports 1M tokens, so this rarely happens. If it does, trim your chat history. |
| 403 errors | Ensure your AIWave account has credit. New accounts get $5 free. |
Switching Models at Runtime
You can also set the model per-request by adding a comment directive in KiloCode:
@model deepseek-v4-flash
Explain this function briefly.
This lets you use cheaper models for simple questions and reserve DeepSeek V4 Pro for the hard problems.
Sign up for AIWave to get started with your $5 free credit. See the full model list for all 60+ options, or join Discord to share your KiloCode setup with other developers.
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