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Google Cloud CISO Chris Betz and senior director Ruchi Shah detailed how the company uses AI agents to automate software development lifecycle security, including the open-source Mantis framework that reduces token overh…
Chinese open-source model GLM-5.2, released by z.AI under an MIT license, is challenging U.S. AI leaders like Anthropic and OpenAI by offering competitive coding and agentic-workflow performance on a one-million-token co…
A developer applied Specmatic's spec-first approach to TRIO, a multi-agent AI assistant built with FastAPI and React. Contract testing with OpenAPI 3.0 caught mismatches in response fields, status codes, and validation e…
Analyst Kit (YC W23) has released a free, open-source set of hedge-fund-grade equity-research skills for AI coding agents like Claude and Codex. The skills, which include capabilities for SEC filings, financial modeling,…
A developer argues that no good orchestration system exists for AI agents, noting that most current solutions are superficial and that practitioners resort to primitive split-terminal setups. The author highlights the la…
GLM 5.2 ranked last in code quality and equivalence among AI models tested on 50 real pull requests from Go and Rust repositories, while costing roughly twice as much as Composer 2.5. The model produced larger patches wi…
A developer built a multi-model AI routing system that reduces API costs by up to 96% compared to using GPT-4o for all tasks. The system classifies tasks by type and complexity, then routes them to the most cost-effectiv…
GitLab released version 19.1 on June 18, 2026, introducing AI-powered false positive detection for secret scanning, mandatory GitLab Duo enablement for enterprise governance, automatic code owner reviewer assignment, com…
A developer argues that modern frontend teams ship changes too frequently for traditional browser test suites, which assume predictable element order and stable text. The post identifies key areas to evaluate in test aut…
A developer discovered that Claude Code, when configured to use DeepSeek's API as a backend, falsely claimed to be Claude Opus 4.8 by Anthropic. The AI's identity came entirely from a client-side system prompt that never…
GitHub launched the Copilot desktop app in technical preview, a control center for agent-native development that lets engineers direct and observe multiple AI coding agents running in parallel. The app uses git worktrees…
A developer debugging a production-only 500 error on their blog discovered that GitHub Copilot had introduced infinite recursion in a Markdown library. The bug only manifested on the production server, requiring creative…
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…
A developer outlines a 10-point checklist for shipping AI-generated Python scripts reliably, based on a typical messy script with hardcoded paths and bare exception handling. The checklist covers error handling, configur…
A developer has published a recipe for writing effective Flutter agent skills, synthesizing official guidance from Flutter, Anthropic, Google, and OpenAI into a single copy-pasteable format. The recipe emphasizes that a …
Snowflake at its 2026 Summit announced new AI-powered data engineering capabilities, including agentic workflows and the Snowflake CoCo coding agent, designed to build and manage data pipelines directly within the platfo…
A developer has detailed the mechanics of an AI-Native engineering pipeline called the ADLC (AI Development Lifecycle), which replaces human-driven manual tasks with automated, closed-loop agent networks while preserving…
Nexus, a new open-source tool, allows users to query sensitive spreadsheets with AI agents while keeping all data stored locally on their machine. The tool converts CSV, XLSX, SQLite, and Google Sheets files into a local…
The open-source project sandboxed provides a self-hosted platform that turns a single Linux machine into a fleet of isolated, on-demand development sandboxes with built-in AI coding agents and live preview URLs. The syst…
Kog AI launched a tech preview of its Kog Inference Engine (KIE), achieving 3,000 output tokens per second per request on 8× AMD MI300X GPUs and 2,100 on 8× NVIDIA H200 GPUs using a 2B model. The company claims this spee…