OpenAI has announced a $1.5 billion data centre campus in Effingham County, Georgia, to house compute infrastructure for training and serving AI models. The project is part of a broader trend of major…
A developer has released lean-ai-memory, an open-source framework that replaces vector databases with Git and Markdown for AI agent memory. The project aims to provide a zero-cost, serverless, and tra…
A developer's guide argues that production-ready AI agents are deterministic, fault-tolerant control systems wrapped around probabilistic LLMs, not mere tool-calling loops. It models agent reliability…
A developer discovered that his self-built investment screener contained a static exclusion list full of 'zombie' tickers—companies that had been delisted or acquired years ago. The code was logically…
An engineer's analysis reveals that AI agents often fail in production due to compound error rates, with an 8-step agent at 85% per-step reliability yielding only a 27% end-to-end success rate. Citing…
A new open-source plugin called codex-bridge lets Claude Code users route image generation and GPT-5 subagent tasks through their existing Codex CLI login, billing against a ChatGPT plan instead of a …
A developer argues that structured context, rather than pixel context, is essential for coding agents in Figma-to-code workflows. The project figmascope exports structured context to preserve design s…
A developer has released agent-skills-guard, a framework for auditing AI agent skills against prompt injection and hidden instructions, addressing gaps in the security of skills installed by Claude, G…
A developer highlights the shortcomings of using Figma screenshots as input for AI design-to-code tools, arguing that screenshots lose critical layout, semantic, and token information. The developer i…
An engineer argues that the success of agentic AI on enterprise data depends less on model choice and more on the underlying data infrastructure. The post highlights compounding errors in multi-step t…
A developer self-hosted a lite agent backend on a single Google Cloud TPU v5e chip, achieving 1,496 output tokens/sec aggregate throughput with 8.02 ms per-token latency for Gemma 4 E2B under vLLM. Th…
Anthropic's Claude AI assistant enforces two independent rolling rate limits—a 5-hour session limit and a 7-day weekly limit—that reset based on the user's first message timestamp, not a fixed schedul…
A developer from Loop & Retry argues that most LLM agent bugs stem from poorly designed tools rather than the model itself, and outlines four properties—legible schemas, validating boundaries, recover…
An engineer from Loop & Retry argues that debugging a failed LLM agent run is far more expensive than the run itself, because agent failures are stochastic and non-reproducible, forcing engineers to p…
A developer outlines a rollout control plane that makes AI agent configuration changes reversible, addressing the risk that a config revision can alter tool permissions, model routing, or approval rul…
A developer who won the ACM-ICPC Asia Topi regional in 2021 and later built XR platforms, a cross-platform C# SDK, AR systems for fire response, and AI voice agents shares four competitive programming…
A developer detailed how to prevent Claude Code agents from writing outside designated directories using PreToolUse hooks, explaining that permission rules alone are insufficient for fine-grained cont…
Sunverse AI's legal-tech platform Lawyie has built an in-memory PDF generation pipeline in Python that creates cryptographically-sealed legal documents, moving beyond standard chat interfaces. The pip…
A developer has detailed the architecture behind SARA, an open-source WhatsApp AI agent that has achieved 99.7% uptime over six months using a multi-provider AI chain with zero inference cost. The sys…
A developer built LoanAI, a real-time credit risk assessment platform that predicts loan default probabilities using machine learning models. The system, built with Flask, Bootstrap 5, and Python, off…