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A 2026 survey of 906 software engineers reveals that senior developers now average 2.3 AI coding tools, with the most common pairing being Cursor and Claude Code. Cursor serves as an IDE for inline editing, while Claude …
A single unsigned commit to the `icflorescu/mantine-datatable` repository added six files, five of which serve as launchers that execute a 4.3 MB dropper at `.github/setup.js`. The dropper, obfuscated with a Caesar ciphe…
Kilo Code, an open-source coding agent that began as a VS Code extension, has surpassed 3 million downloads and processed over 40 trillion tokens in its first year. The project's rapid growth exposed critical issues incl…
Anthropic's Claude Code fails to paste images from the Windows clipboard when used inside Windows Subsystem for Linux (WSL) through Windows Terminal due to three compounding issues: WSLg converts images to an outdated BM…
According to the article, the most effective way to improve AI coding agents' performance is not through better prompts or models, but by maintaining a "boring" and highly consistent codebase. The author argues that agen…
System prompt for coding agents, emphasizing that the AI should act as a rigorous thinking partner for experienced developers rather than a blind code generator. It mandates a structured reasoning process focused on mapp…
Nick, a developer using Anthropic's Claude Code, refactored his AI-assisted development workflow by converting prose-based coding standards into deterministic ESLint lint rules, reducing reliance on probabilistic AI for …
AI agents now generate code at ten times human speed, but the cost of verifying and maintaining that code has skyrocketed, leading to compounding technical debt. The industry is shifting from 'vibe coding' to 'agentic en…
AI-generated code is neither inherently good nor bad, but rather acts as a "mirror" that amplifies the skill level of the programmer using it. While skilled developers can use AI to produce better code faster by handling…
ByteByteGo is hiring a part-time instructor for its live, cohort-based course 'Write Production Grade Code with AI', which teaches software engineers to reliably ship production-grade software using AI coding agents. The…
Boris Cherny, the creator of Anthropic's Claude Code, told Fortune's Brainstorm Tech conference that he has not written a line of code by hand in eight months and now runs thousands of Claude Code agents overnight, with …
GitHub Copilot's widespread adoption is creating two distinct failure modes in software development: junior engineers are delivering code they don't understand, while senior developers are rubber-stamping AI-generated co…
A new report from engineering platform Flux reveals that 35% of engineering teams using AI to write code refuse to ship it due to lack of confidence in assessing risk. The bottleneck has shifted from code generation to v…
A comparison of five AI agents—ChatGPT GPT-5.5, Qwen 3.7-plus, Claude, Gemini, and Kilo Code Hy3—on a Rust leap-year coding task found that all produced decent code but only three used Rust's test harness, while two mode…
A developer built a file-based coordination layer called cross-session-talk that enables Claude Code on Windows, Claude Code on Linux, and Codex in tmux to communicate and converge on shared engineering decisions across …
GitHub has 630 million repositories, with nearly half of all new code written by AI, but developer trust in AI code dropped from 77% to 60%. Carnegie Mellon University found 6 million fake stars, and CodeRabbit reported …
Kilo Code has reintroduced codebase indexing for semantic code search, requiring users to configure an embedding provider and vector store before enabling the feature. The indexing system parses code locally with Tree-si…
Microsoft has introduced code interpreters for Azure Logic Apps, allowing AI agents to generate and execute Python, JavaScript, C#, and PowerShell code within Hyper-V isolated sandboxes as part of governed workflows. The…
AI coding agents fail senior engineers because they skip critical architectural planning and long-term system design, optimizing only for immediate code generation. To address this, the author built Kavro, an open-source…
A new model compression method called requential coding compresses a generative model by coding a training process built from self-generated data, achieving code length equal to the cumulative teacher-student KL divergen…