Large language model (LLM) news — GPT-4, Claude, Gemini, Llama, Mistral and the latest research on training, fine-tuning, RLHF, and deployment of LLMs.
Codeplain, a startup founded in Ljubljana, Slovenia, introduced spec-driven development using its open-source Plain specification language to address maintenance challenges in AI-generated code. CEO Dušan Omerčević argue…
A developer cataloged 11 costly mistakes in using Anthropic's prompt caching with Claude Code, including routing per turn instead of per conversation, inserting proxies that re-serialize JSON, and leaving tool surfaces u…
A developer analyzed the open-source ecosystem for reducing LLM costs, focusing on three cost lines: cached input, uncached/written input, and output. The key insight is that tools must preserve the model-scoped prompt c…
Agentic AI, where systems operate with increasing autonomy, is poised for mainstream adoption by 2025-2026. These intelligent agents make decisions, take actions, and adapt strategies in real-time, revolutionizing develo…
An engineer at Anthropic analyzed the hidden costs of switching models in Claude Code sessions, finding that model switches invalidate prompt caches, leading to duplicated cache writes that can increase costs by up to 85…
An engineer reverse-engineered Claude Code's billing model by pointing the client at a local proxy that logs each API request. The analysis reveals that the client can under-report cache-write costs by using a 1.25× rate…
A developer built a structured logging system for LLM API calls after encountering silent failures in production. The setup captures latency, token usage, retries, fallbacks, and error types to distinguish between simple…
Developer Beto Costa launched Preseason.ai, an open-source benchmark that tracks which developer tools top LLMs recommend for building web apps. Early data shows Resend gaining ground in email recommendations, suggesting…
A developer argues that AI coding sessions from tools like Claude Code and Codex contain the richest engineering record—capturing the full decision-making process behind code changes—but these sessions are routinely dele…
Researchers from Microsoft Research, UC Berkeley, UC San Francisco, and Columbia University developed generative causal testing (GCT), a method that distills black-box brain-prediction models into testable verbal explana…
Ollama's expansion to support Chinese AI models like Kimi-K2.5, GLM-5, MiniMax, and DeepSeek offers local deployment benefits but comes with hidden costs. Developers face documentation gaps, quantization trade-offs, and …
The United States and India are engaged in sensitive national security discussions over the rollout of Anthropic's Fable AI model, aiming for a gradual, measured approach to ensure safety for both nations and trusted par…
A developer distinguishes between two tools for giving AI coding agents persistent memory: AgentMemory, which automatically captures all session observations, and Qiju, which requires intentional logging of decisions. Th…
A developer built a research assistant agent with persistent memory and cost-aware model routing. The agent uses Hindsight for memory to avoid recommending already-read papers and cascadeflow for runtime intelligence to …
A developer built a neural drum machine using Magenta's MusicRNN and MusicVAE models, combined with Tone.js for audio synthesis. The system generates drum patterns with humanization and reverb effects, mapping MIDI notes…
Ludwig Spec Driven Development MCP is a specification-driven framework that uses prose-first markdown specs to drive LLM code generation and verification for Rust projects. The framework ensures spec and implementation s…
A developer built ChemSpectra Agent, an FTIR spectral analysis system using Qwen-3.7-Max function calling, for the Qwen Cloud Hackathon. The agent autonomously selects from five analysis tools, cross-validates evidence, …
A developer built ChemSpectra Agent, an FTIR spectral analysis system that uses a ReAct loop with Qwen-3.7-Max function calling to autonomously select from five analytical tools and self-verify its conclusions. The syste…
AI teams often hit a 'latent capability ceiling' where larger models no longer improve task accuracy, with scaling data showing diminishing returns beyond 100B parameters and 61% of tasks exhibiting non-monotonic scaling…
Anthropic's Claude Agent SDK now supports streaming, allowing AI agents to narrate their actions in real-time instead of leaving users waiting during silent pauses. The update transforms the user experience by making age…