Llama local deployment for secure code reviews
A developer reports that running Llama 3.1 8B locally on an RTX 3090 enables secure code reviews with full control over context and system prompts, achieving 1.2-second response times on 50-line snipp…
A developer reports that running Llama 3.1 8B locally on an RTX 3090 enables secure code reviews with full control over context and system prompts, achieving 1.2-second response times on 50-line snipp…
A Japanese truck driver self-studying Python built 'Puoppo,' an AI trend analysis app that uses official RSS feeds instead of web scraping to avoid IP blocks and maintenance costs. The system, powered…
A new simulation tool built with a Flask backend and JavaScript frontend models how blocking a critical node in a global oil trade network triggers cascading reserve depletion, even in countries with …
A developer discovered that the AI code editor Cursor fixed a CORS error in their side project by generating middleware that uses origin reflection, a pattern that echoes back any Origin header sent b…
Developer lordraw77 released llmproxy, a lightweight Flask server that emulates Ollama, OpenAI, and llama.cpp APIs and forwards every request to NVIDIA's OpenAI-compatible API, enabling any existing t…
A developer built an Edge Fraud Firewall in 178 lines of Python that screens inbound calls at the carrier edge using Telnyx APIs and AI inference. The system classifies callers as CLEAN, SUSPICIOUS, o…
Vercel now supports WebSocket connections for Python applications, enabling bidirectional communication for real-time features like interactive AI streaming, real-time chat, and multiplayer live colla…
LangGraph can be deployed as a composable service within an existing data stack, integrating with schedulers like Airflow and Prefect, APIs, and warehouses such as Snowflake, Redshift, and BigQuery. T…
A developer built a Telnyx voice AI agent that automates pre-visit insurance clearance by turning patient phone calls into structured intake tickets. The agent uses Telnyx's Gather Using AI primitive …
A developer built a two-stage AI moderation classifier in Python using Telnyx AI Inference. The pipeline uses embeddings similarity to catch obvious spam and abuse patterns, then falls back to an LLM …
A developer built pyobfus, an AST-based Python obfuscator that keeps production traces debuggable by providing a reversible mapping workflow. The tool supports framework presets for FastAPI, Django, F…
Researchers describe AnovaX, a local-first multi-agent voice assistant that runs entirely on a user's computer and uses an LLM planner (Gemini) to emit JSON plans of tool calls, a multi-agent orchestr…
A developer's deterministic code analyzer, DACIP, found three real bugs across nine unfamiliar codebases after fixing 19 false-positive gap classes. The tool extracts backend routes and frontend calls…
A data engineer built My Personal Recruiter, a privacy-first AI-powered assistant that uses a local large language model (LLM) to parse PDF resumes, search job listings via SerpAPI, and rank matches b…
A developer attending Local-First Conf in Berlin describes a widespread dissonance among engineers who use large language models despite agreeing with critics' concerns about slop, copyright, environm…
Telnyx released a Python example demonstrating a natural language to SQL API built with its AI Inference service. The Flask app accepts plain-English questions and returns generated SQL, explanations,…
Telnyx released a 104-line Python app called the AI Phone Story Hotline that lets callers dial a phone number, pick a genre, and hear an AI-generated interactive story that adapts to their choices in …
Telnyx released a one-curl audio translator built on its AI Inference API, combining STT, chat completions, and TTS in a single Flask app. The tool handles per-stage error handling, returning partial …
A developer built a hotel concierge line using Telnyx Voice, SMS, and Slack, combining Python Flask with Telnyx AI Inference to classify guest requests into categories like room service, housekeeping,…
Telnyx released a Python example that turns stack traces into structured debugging JSON using its AI Inference API. The Flask app accepts a stack trace and optional context, then returns a predictable…