The New Software Lifecycle
Google published a whitepaper co-written by Addy Osmani on the agentic software development lifecycle, detailing how agents function as a model plus a harness, with context engineering and verification as key differentia…
Large language model (LLM) news — GPT-4, Claude, Gemini, Llama, Mistral and the latest research on training, fine-tuning, RLHF, and deployment of LLMs.
Google published a whitepaper co-written by Addy Osmani on the agentic software development lifecycle, detailing how agents function as a model plus a harness, with context engineering and verification as key differentia…
Unchecked token usage in LLM-assisted engineering workflows can inflate costs from $48 to $978 per engineer per month for high-end models, as context accumulation from system prompts, chat history, RAG retrieval, and deb…
ASUS reportedly unveiled the ExpertCenter Pro ET900N G3, a tower PC built around NVIDIA's GB300 Grace Blackwell Ultra desktop superchip, offering 20 PFLOPS of AI throughput and a large unified memory pool capable of hold…
Developer launches Trace Commons, a community effort to collect coding-agent sessions from tools like Claude Code and Codex under a Creative Commons Attribution 4.0 license, aiming to create an open dataset for training …
The US government ordered Anthropic to cut off foreign access to its Fable 5 and Mythos 5 AI models on June 12, 2026, citing a jailbreak risk that critics say is actually a routine defensive capability—automated code rev…
A developer discovered that running a fleet of ten scheduled AI agents without persistent memory incurs significant overhead from context re-orientation, work duplication, decision drift, and context re-injection costs. …
Ultracoding, a new paradigm where AI agents programmatically spawn copies of themselves via code execution, is enabling massive multi-agent hierarchies that scale software development to unprecedented levels. Recent demo…
Researchers from Duke University and NVIDIA introduced FedBPT, a method for efficient federated black-box prompt tuning of large language models, presented at ICML 2024. The approach enables collaborative fine-tuning wit…
A developer built PromptCrunch, a drop-in proxy that reduces input token costs in long multi-turn LLM conversations by deduplicating code, compacting stale tool output, and summarizing old turns. In tests with Claude Cod…
A new 'AI filter' is reshaping B2B go-to-market strategies as buyers increasingly consult AI tools like ChatGPT, Perplexity, and Microsoft Copilot before making purchase decisions. Brands that lack presence across key su…
NVIDIA researchers introduced VILA-M3, a vision-language model enhanced with medical expert knowledge, at CVPR 2025. The model aims to improve AI understanding of medical images by incorporating domain-specific expertise…
Developer released llmslim, an open-source Python package that compresses prompts, chat histories, and RAG contexts using semantic chunking and extractive ranking, achieving up to 60% token reduction. The tool aims to re…
A landmark study from Harvard Medical School and Beth Israel Deaconess Medical Center, published in Science, found that OpenAI's o1 series matched or exceeded physician performance across six clinical reasoning experimen…
Apple has overhauled Siri in iOS 27, introducing Siri AI with personal context understanding, broad world knowledge, onscreen awareness, and app actions. The update makes Siri a competitor to chatbots like Claude and Cha…
A developer built a Visual Studio extension that integrates Claude Code's CLI, adding native diff viewing with accept/reject functionality, automatic compiler error sharing, and a dockable panel for connection stats. The…
A developer built M31A (M31 Autonomous), a terminal-native AI coding agent written in Go that owns a six-phase workflow end-to-end: Initialize, Discuss, Plan, Execute, Verify, and Ship. The agent runs as a single static …
A developer built contextcram, a zero-dependency Python library that prioritizes and packs context pieces (system prompts, chat history, documents) into a fixed token budget for LLM applications. It assigns each piece a …
Cursor rules often fail because they are static instructions that don't learn from PR history, compete with strong defaults, or are stored in outdated file locations. A developer at Codehabits recommends migrating to the…
NVIDIA researchers developed an agentic system for deploying machine learning models to ephemeral SageMaker endpoints, generating runtime code at deployment time from prose artifacts rather than reusable scripts. The app…
Anthropic's Claude Code, a CLI-first agentic coding assistant, is now available for .NET developers through VS Code and JetBrains Rider, with a workaround for Visual Studio via integrated terminal. The tool operates on a…