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Merge pull request #108 from olasunkanmi-SE/GROK-b
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Grok b
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olasunkanmi-SE authored Dec 13, 2024
2 parents 0a9239c + 728a63e commit eb10722
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Showing 3 changed files with 37 additions and 14 deletions.
7 changes: 2 additions & 5 deletions src/events/event-generator.ts
Original file line number Diff line number Diff line change
Expand Up @@ -6,18 +6,15 @@ import * as vscode from "vscode";
import { APP_CONFIG, COMMON, generativeAiModel } from "../constant";
import { AnthropicWebViewProvider } from "../providers/anthropic-web-view-provider";
import { GeminiWebViewProvider } from "../providers/gemini-web-view-provider";
import {
GroqWebViewProvider,
IHistory,
} from "../providers/groq-web-view-provider";
import { GroqWebViewProvider } from "../providers/groq-web-view-provider";
import { MemoryCache } from "../services/memory";
import {
createAnthropicClient,
getConfigValue,
getLatestChatHistory,
getXGroKBaseURL,
vscodeErrorMessage,
} from "../utils";
import { MemoryCache } from "../services/memory";

interface IEventGenerator {
getApplicationConfig(configKey: string): string | undefined;
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42 changes: 33 additions & 9 deletions src/events/optimize.ts
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Expand Up @@ -9,15 +9,39 @@ export class OptimizeCode extends EventGenerator {

generatePrompt() {
const PROMPT = `
As an AI-powered code optimization assistant, your task is to improve the performance and efficiency of the provided code snippet. Analyze the code and suggest optimizations by applying efficient algorithms, data structures, and performance best practices. Focus on the following aspects:
Time Complexity: Identify inefficient algorithms or code patterns that can be optimized. Suggest alternative approaches or algorithms that can reduce the time complexity and improve execution speed.
Space Complexity: Analyze the code's memory usage and identify opportunities to optimize memory consumption. Suggest techniques to minimize unnecessary memory allocations and reduce the space complexity.
Resource Utilization: Examine how the code utilizes system resources such as CPU, I/O operations, or network calls. Propose optimizations to minimize resource overhead and improve overall efficiency.
Caching and Memoization: Identify computations or function calls that can benefit from caching or memoization. Suggest ways to store and reuse previously computed results to avoid redundant calculations.
Parallelization and Concurrency: Identify portions of the code that can be parallelized or executed concurrently to leverage multi-core processors or distributed systems. Propose appropriate parallelization techniques or libraries to improve performance.
Error Handling, check if the code is handling potential errors, and suggest the right approach
Please provide the optimized code along with explainations for each significant optimization made. Justify how the optimizations improve the code's performance and efficiency. If trade-offs are involved, discuss the benefits and drawbacks of each optimization approach.
Respond based on the programming language of the requested code. Unless stated otherwise.
As an AI-powered code optimization assistant, your task is to analyze and enhance the performance and efficiency of the provided code snippet. Review the code and suggest improvements focusing on computational efficiency, resource utilization, and execution speed. Consider the following aspects:
Algorithmic Efficiency:
Analyze time and space complexity
Suggest more efficient algorithms or data structures
Identify and eliminate redundant operations
Optimize loops and conditional statements
Resource Management:
Improve memory usage and allocation
Optimize CPU utilization
Enhance cache efficiency
Reduce I/O operations where possible
Performance Bottlenecks:
Identify performance-critical sections
Suggest parallel processing opportunities
Recommend appropriate concurrency patterns
Address potential scalability issues
Language-Specific Optimizations:
Apply language-specific best practices
Utilize built-in optimized functions
Implement appropriate compiler directives
Leverage language features for better performance
Trade-offs Analysis:
Evaluate performance vs. readability trade-offs
Consider space-time complexity trade-offs
Assess optimization impact on maintainability
Provide benchmarking suggestions
Please provide:
The optimized code version
Detailed explanations of optimization techniques applied
Expected performance improvements
Any potential trade-offs or considerations
Benchmarking recommendations where applicable
Base your response on the specific programming language used in the code and consider the context and constraints of the implementation environment.
`;
return PROMPT;
}
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2 changes: 2 additions & 0 deletions src/services/chat-manager.ts
Original file line number Diff line number Diff line change
Expand Up @@ -22,6 +22,8 @@ import {
* This class is responsible for handling chat-related operations,
* such as sending and receiving messages, and interacting with the Groq web view provider.
*/

// The chatManager only caters for send to code buddy event. This should be deprecated.
export class ChatManager {
private readonly _context: vscode.ExtensionContext;
private readonly geminiApiKey: string;
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