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A study of 12 athletic apparel brands in the U.K. over seven days with 14,140 API runs across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews found that changing the category word in a prompt—from 'athleisur…
1Password published a reference architecture for giving locally running AI agents a trustworthy, scoped, short-lived, auditable identity without storing long-lived keys on disk. The architecture targets the 'delegated au…
Anthropic's Claude is not a compiler but is better than one, argues software engineer Dan Breunig, because it can work vertically across the software stack from strategy to machine code, unlike traditional compilers that…
A tokenizer converts text into integer IDs that a language model can process, and its design—typically learned via byte-pair encoding—determines context-window usage, input cost, and how well the model handles spelling, …
A developer explores using LLM-as-a-Judge to evaluate AI-generated code, shifting from deterministic pass/fail tests to probabilistic scoring. The approach involves a golden dataset of curated test cases and a judge LLM …
ClickHouse released @clickhouse/rowbinary, a Node.js library for reading and writing RowBinary formats that also ships as an Agent Skill, enabling coding agents to generate query-specific parsers that run 1.5–3.4x faster…
Zig creator Andrew Kelley released a blunt response to Anthropic and Bun's explanation for porting Bun from Zig to Rust, accusing Anthropic of actively campaigning to end software engineering and calling its narratives u…
Real founders built six- and seven-figure AI automation businesses without coding, with case studies showing revenue from $25K to $2.7M ARR. Marcus, a bookkeeper, grew a solo operation to $25K ARR in four months by offer…
A developer published a beginner's study guide explaining tool use and retrieval-augmented generation (RAG) for large language models in production. The guide uses real-world analogies and runnable code to demonstrate ho…
In a head-to-head test of 12 text tasks, OpenAI's GPT-5.6 Sol Pro scored 112.0 to xAI's Grok 4.5's 106.1, winning 5 tasks to 3 with 4 ties, giving OpenAI a narrow but real edge. Sol Pro excelled in implementation-heavy t…
A developer built a 4-stage stock screening funnel using the EODHD Screener API and Claude, filtering over 3,000 US-listed stocks down to 10 based on profitability, liquidity, and earnings yield. The pipeline runs live A…
The developer team behind Chron, an MCP server that records AI coding sessions to a local SQLite database, has shipped a SOC 2 review layer. The tool scans session history for findings against SOC 2 Trust Services Criter…
Docker launched Sandboxes in April 2026, using microVMs to isolate AI coding agents, shifting the container-versus-VM debate to a three-way comparison with microVMs. MicroVMs provide hardware-enforced isolation with thei…
A developer explains why they choose Lovable for building full-stack applications with AI, highlighting its ability to generate complete applications including frontend, backend, database, authentication, and API integra…
A product manager recounts how an automated evaluation caught a bug that would have slipped through a 'vibe coded' tool, prompting a historical look at human-in-the-loop versus human-on-the-loop automation. The US Air Fo…
Z.ai launched GLM-5.2, the first open-weight model to top the HuggingFace Open LLM Leaderboard and beat proprietary coding products on SWE-bench Verified with a 72.3% score. Trained on Huawei Ascend hardware under Apache…
Andrew Ng introduces three key loops for building 0-to-1 products with AI agents: the agentic coding loop, developer feedback loop, and external feedback loop. He argues that humans retain a context advantage over AI, ma…
Chris Lattner created MLIR (Multi-Level Intermediate Representation) in 2018 at Google to solve the problem of fragmented compiler infrastructure across different hardware targets and programming models. MLIR, released p…
Agent loops fail in production due to state management issues in the database, not model quality, according to a CockroachDB analysis. Common failures include inconsistent state, interrupted writes, and lack of auditabil…
Async Rust converts every async function into a state machine that records where execution stopped and stores needed values, enabling efficient waiting without blocking threads. This internal model helps developers reaso…