Find similar content

Source channel @githubtrending · Post #15117 · Sep 3

#python#agent#ai#ai_coding#claude#claude_code#language_server#llms#mcp_server#programming#vibe_coding Serena is a free, open-source toolkit that turns large language models (LLMs) into powerful coding agents able to work directly on your codebase with IDE-like precision. It uses semantic code analysis to understand code structure and symbols, enabling efficient code search and editing without reading entire files. Serena supports many programming languages and integrates flexibly with various LLMs and development environments via the Model Context Protocol (MCP). This means you can automate complex coding tasks, improve productivity, and reduce costs without subscriptions, making your coding workflow faster and smarter. https://github.com/oraios/serena

Hashtags

#python #agent #ai #ai_coding #claude #claude_code #language_server #llms #mcp_server #programming #vibe_coding

Results

2 similar posts found

Search: #mrr

当前筛选 #mrr清除筛选

Venture Village Wall 🦄

@venturevillagewall · Post #4239 · 02/25/2025, 01:00 PM

Find similar View

AI Startup Hits $10K Monthly Revenue AI project ReelFarm generates viral TikTok videos using templates. Recent success: over $10k MRR within the first month. Case study: an online store achieved 100k+ views without high production costs. Industry trend: growth in accessible, low-cost video creation tools. For aspiring project creators, checklist available. #AI#Video#Marketing#TikTok#Startup#Viral#MRR#ContentCreation#SocialMedia#Innovation#TechTrends#Entrepreneurship#ReelFarm#DigitalMarketing#BusinessGrowth#MicroSAAS#Entrepreneurs#VideoMarketing#DIY#Creators

Libertà è ragione

@libertaeragione · Post #4303 · 11/25/2024, 02:34 PM

Find similar View

#Elezioni#Romania#Presidenziali Risultati definitivi: Affluenza: 52,55% Călin #Georgescu: 22,94% Elena #Lasconi (#USR|RE): 19,18% Marcel #Ciolacu (#PSD|S&D): 19,15% George #Simion (#AUR|ECR): 13,86% Nicolae #Ciucă (#PNL|EPP) 8,79% Mircea #Geoană (supp. #MRR)|Centristi nazionalisti|G/EFA: 6,32% Hunor #Kelemen (#UDMR|EPP): 4,51% Cristian #Diaconescu: 3,1% Cristian #Terheș (#PNCR|ECR): 1,04% Ana #Birchall: 0,46% Ludovic #Orban (#FD|Centro-destra populista): 0,22% Sebastian #Popescu (#PNR|Populisti): 0,16% Alexandra #Păcuraru (#ADN|Centro-sinistra): 0,16% Silviu #Predoiu (#PLAN|Centro): 0,12% In foto, la mappa del voto, by @tuttoelezioni. Necessario un secondo turno tra Georgescu e Lasconi. @OsservatorioEsteri