Build a Simple RAG App with Telnyx AI Inference
Telnyx released a tutorial for building a retrieval-augmented generation (RAG) API using its AI Inference and Embeddings services. The Python/Flask app embeds user questions, retrieves relevant docume…
Telnyx released a tutorial for building a retrieval-augmented generation (RAG) API using its AI Inference and Embeddings services. The Python/Flask app embeds user questions, retrieves relevant docume…
Langfuse launched code evaluators allowing users to run untrusted Python or TypeScript code in its multi-tenant SaaS environment. The company chose AWS Lambda for its runtime due to security, scalabil…
Loomcycle v1.1.0 introduces Filesystem Volumes, replacing the global jail with per-agent read-only or read-write filesystem roots. The update enforces spawn confinement, removes legacy jail environmen…
A developer built a production-grade asynchronous NetFlow/sFlow ingestion pipeline in Python using Scapy to capture live network traffic and stream structured JSON events for AI-driven anomaly detecti…
A developer argues that AI is not replacing programming languages but rather the need to think in them, accelerating a long-term shift from imperative to declarative programming. The value of software…
An AI agent is not a new type of model but rather a small amount of plumbing around an LLM, consisting of Model, Instructions, Memory, Tools, and an Execution Loop. A minimal agent can be built from s…
HoprLabs, a new open-source Python CLI and research toolkit, launched to simulate AI training math, estimating model size, memory usage, training time, and token budget before costly model training. T…
A developer built a log monitoring Python script using DeepSeek, but the generated code hallucinated and required extensive manual fixes. The script, intended to tail Nginx error logs and send Slack a…
Arduino UNO Q's dual-processor architecture enables a wireless smartphone dashboard for remote hardware control. The Linux MPU hosts a Python web server that sends serial commands to the STM32 MCU, al…
Python core developer Brett Cannon proposed PEP 832 to standardize virtual environment discovery, addressing the difficulty tools like VS Code face in locating environments across different workflow t…
A developer's comparison of Python and PHP in 2026 concludes that Python is the better choice for beginners and those interested in AI/ML, while PHP remains strong for WordPress, client sites, and Lar…
Python's async and await keywords only make code eligible for asynchronous execution, not automatically asynchronous, a distinction that many developers misunderstand. The article on Towards AI explai…
A new open-source AI VTuber tool allows beginners and non-programmers to set up a fully local, free VTuber using Whisper for speech recognition, Ollama for LLM inference, and Chatterbox TTS, with VTub…
A developer who built five MCP servers shares seven hard-learned lessons for production deployments. Key mistakes include returning empty arrays that cause clients to hang, manually constructing JSON …
Travis, a staff engineer with 20 years of experience, built Flywheel, an AI workflow automation platform, solo in 11 months, resulting in a 325,000-line codebase with 702 commits. The platform combine…
PowWater, a startup building an operating system for water delivery, is expanding to Mexico City after processing billions of liters in Kenya. The company uses a Python/FastAPI/PostgreSQL stack and in…
A developer argues that backend engineers must shift from simply calling AI APIs to designing production-ready AI systems. The post outlines a structured approach with input, orchestration, and output…
CelestoAI released SmolFS, an open-source durable filesystem layer for AI agents that persists workspace data across agent process restarts. The tool mounts as a standard directory, supports local and…
In a podcast episode of complexity.fm, Bas Steins and Michal Martinka discussed why Python developers are adopting Rust for tooling like Ruff, uv, and Polars, citing Rust's strictness and compiler gua…
Graphify, a new tool, converts codebases and notes into queryable knowledge graphs to provide AI agents with persistent, efficient memory, reducing token costs and improving precision over vector sear…