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Foreman, a self-hosted LLM gateway, routes requests to the cheapest model allowed by user-defined policies while maintaining deterministic behavior and prompt cache efficiency. The open-source tool supports multiple prov…
A developer built an error notebook for an AI coding agent, accumulating 266 rules over two months that intercepted 66 instances of the same error pattern. The system uses action-type rules triggered by specific conditio…
Software-engineering interviews are shifting from memorized coding tests toward AI fluency and project reasoning, with companies like Dropbox and Cisco now allowing AI tools during assessments and recruiters scouting Git…
Newer AI models with cheaper per-token pricing can lead to higher costs and worse output, according to tests comparing Claude Sonnet 4.6 and Sonnet 5 on 150 agent tasks. Sonnet 5 consumed up to 12x more tokens on archite…
Meta Superintelligence Labs launched Muse Image on July 7, the first image generator that autonomously uses tools like web search and code execution at inference time, with self-refinement emerging from reinforcement lea…
Nuxt, the Vue-based full-stack framework, has evolved significantly with version 4 and the upcoming Nitro v3 engine, offering convention over configuration and a platform-agnostic server engine. Its standalone build outp…
Compound Engineering (CE) released /ce-dogfood, a QA agent skill that autonomously tests code changes in a real browser by diff-scoped, flow-based verification, closing the verification loop without human intervention. T…
Apify released CLI version 1.7.0 with improvements for AI coding agents, including clearer guidance for `apify call`, explicit final-status summaries for builds and runs, a new `apify mcp install` command for one-step MC…
A developer reports that structuring a codebase for AI agents—using folder-per-concern organization, explicit prop types, and rules files like .cursorrules or CLAUDE.md—can dramatically improve agent performance. The app…
A developer introduced Program-Aided Language Models (PAL), which offload arithmetic from language models to a code interpreter. PAL splits reasoning and computation: the model writes a program describing the method, and…
South Korea's Agency for Defense Development launched Add+i, an in-house generative AI service on its closed internal network, developed by the Defense Artificial Intelligence Technology Research Institute using open AI …
Pydantic AI V2 went stable on June 23, 2026, introducing a new 'capability' primitive that bundles tools, lifecycle hooks, instructions, and model settings into composable objects for building Python agents. The release …
A new framework called the Agent Harness redefines production agents by prioritizing runtime control over prompt engineering. The harness manages context assembly, tool exposure, permission checks, loop control, and trac…
Qwen open-sourced the 35-billion parameter Mixture of Experts model Qwen 3.6-35B-A3B, which activates only 3 billion parameters per token and runs on a $599 Mac Mini M4 with 16GB RAM at 17 tok/s with zero swap. The model…
Onepilot and Blink Shell are iOS apps for managing servers, but they serve different purposes. Blink Shell is an open-source, Mosh-native terminal for manual SSH work, while Onepilot is an operations layer that deploys, …
Leanstral 1.5, a free Apache-2.0 licensed model with 6B active parameters, delivers major performance upgrades in formal verification, saturating miniF2F, solving 587/672 PutnamBench problems, and achieving state-of-the-…
Google released ADK 2.0, a framework that blends deterministic workflow execution with AI agent capabilities to address production reliability issues such as infinite loops and hallucinations. The update introduces struc…
Anthropic resolved a US government dispute over its Fable AI model after expanding safety classifiers to block jailbreak requests like 'fix this code' in over 99% of cases. The government lifted export controls on June 3…
GitHub announced three improvements to its Copilot usage metrics API, including CLI suggested lines of code reporting, IDE identification for server-side-only users, and more accurate AI credit attribution. These updates…
PagerDuty's 2026 State of AI-First Operations report finds that 84% of organizations use AI to write code, but 68% lose over $300,000 per hour during major incidents. The report warns that AI-driven complexity is outpaci…