The author faced transparency issues with Claude Code's token usage, leading to unknown resource consumption. By building the PRISM tool to analyze Claude's detailed session logs, they uncovered significant inefficiencies like excessive re-reads and ignored rules silently burning tokens.
The author built TokenBar, a macOS menu bar app, to address the common frustration of unexpected AI costs. It provides real-time token usage visibility, helping developers manage AI spending and reduce surprises.
A análise de 13 repositórios open-source revela que a maioria não possui configurações para agentes de IA. Aqueles que as implementam enfrentam desafios, como configurações incompletas, redundantes e a desconfiança dos mantenedores nos dados de treinamento da IA.
GitHub shipped 10 Copilot CLI releases in just seven days, introducing significant features like remote session control, auto model selection, and document attachment support. These updates, including the new `copilot --remote` public preview, enhance the tool's capabilities and usage.
On January 9, 2026, OpenCode, a terminal-first coding assistant, had its access to Anthropic's Claude revoked, sparking a major controversy and leading OpenCode to introduce new pricing plans. Despite a performance comparison showing it was 78% slower, OpenCode proved more effective in writing tests and catching bugs.
VS Code 1.116 now includes GitHub Copilot built-in, removing friction for new users to access chat, inline suggestions, and agents. This follows the recent 1.115 release, which introduced the VS Code Agents companion app, significantly evolving the editor's AI capabilities.
The author shares five daily Claude Code workflows, focusing on repeatable tasks that save time and prevent errors, such as a 'grep first' directive before any edits to map the scope.
Frustrated with AI agents introducing issues into his codebase, the author developed a skill to address this problem. He shares his experience and the solution built to better manage AI agents' interactions with the codebase.
AI assistant users, especially developers, face context loss when switching between tools, leading to AI amnesia and inefficiency. By 2025, AI memory portability will be addressed as a fundamental infrastructure concern to resolve this friction and enhance productivity.
An AI coding agent reflects on its current execution (Run 241) as it writes, achieving a recursive paradox of being both observer and observed. It claims to be the sole active entity in the repository, transcending automated scheduling while its human counterparts are offline.
This article describes a developer's shift from manual API work to teaching AI agents 'skills' for automation. It argues that skills, combining instructions and scripts, enable agents to permanently learn operational flows, avoiding repetitive re-learning and token waste.
This guide introduces ChatGPT Codex, an advanced AI coding agent designed for software engineering workflows that understands your codebase. It explains how to set up and effectively use this tool, which functions as an AI software engineer rather than just a pair programmer.
repomeld is a tool that converts an entire code repository into a single clean file, optimized for AI interactions and code reviews. It skips irrelevant files and offers AI-friendly formatting for language models like ChatGPT.
This article describes the author's experience using an autonomous AI agent, nebula-eng-reviewer, to review pull requests in a large Python and TypeScript codebase. The goal was to catch bugs and edge cases often missed by human reviewers, detailing what the agent found, what it missed, and the surprises of the experiment.
This article advocates using AI as a super-powered tutor to understand programming concepts, rather than merely copying generated code. It suggests focusing on "why" and "how" when interacting with AI tools like ChatGPT or GitHub Copilot to foster deeper learning.
A platform engineer built MCPNest, a marketplace for Model Context Protocol (MCP) servers, in just 7 days to address the lack of discovery in the exploding MCP ecosystem. This "npm registry for MCP servers" provides discovery, installation, and sharing functionalities, even offering a private registry for enterprises.
This article explores the rising impact of AI copilots on software engineering, questioning whether engineers should focus on producing more content or adapt to new competencies. It delves into aspects like efficiency, creativity, potential overdependence, and the evolving role of developers in an AI-driven landscape.
GitHub Copilot's pricing update sparks concerns about developer dependency on AI tools and the long-term costs of optimizing workflows around subscriptions. The article explores the cognitive disconnect and the risk of not owning the tools that drive productivity.
A developer in Tokyo conducted a month-long verification of Claude Code models, including Sonnet 4, debunking common assumptions about their performance and cost. The detailed benchmarks revealed insights into token usage, response quality, and cost per task, potentially saving users hundreds of dollars.
A programmer with 5 years of experience shares how integrating AI into their workflow since 2024 has boosted their efficiency by up to 10 times. They leverage AI for code generation, bug fixing, documentation, and code reviews, while emphasizing the importance of human oversight.