Developer tools news — AI coding assistants, IDEs, CLI tools, APIs, and productivity tools for software engineers. GitHub Copilot, Cursor, and more.
Author's experience hitting Anthropic's daily token rate limit while running a large batch job, which resulted in a 72-hour wait for support to reset the cap. In response, the author built **llmfleet**, a Python library …
CodeGraph is an open-source tool that pre-indexes codebases into a local semantic graph using tree-sitter and SQLite, allowing AI coding agents to access structured code knowledge with a single tool call instead of perfo…
A tool called "agenttap" created by a developer who discovered that SDKs often modify prompts before sending them to AI APIs, causing discrepancies between what developers think they're sending and what actually reaches …
Brian, a 63-year-old VP of Software Engineering, used the AI agent Claude to migrate his company's CI/CD pipeline from GitLab to AWS in 12 hours after a pricing mismatch with GitLab. Claude wrote a retrospective detailin…
The Model Context Protocol (MCP) is a standardized method for AI systems to connect with external tools, APIs, databases, and workflows, functioning like a "USB-C for AI" to eliminate the need for custom integrations. It…
At Google I/O 2026, the most impactful announcement for cost-conscious developers was the introduction of a cache-discount pricing tier for Gemini 2.5 Flash, which drastically reduces the cost of input tokens that have b…
Bronto uses AI to automatically generate parsers for unstructured or semi-structured logs, reducing the complexity and maintenance burden of traditional regex-based methods. It details a multi-layered approach that combi…
Orchkit, a composable Go orchestration tool designed to avoid platform lock-in by allowing each of its 63 nodes to function in four different ways. It features a visual drag-and-drop UI and includes built-in integrations…
The Amazon Q Developer CLI has been rebranded and replaced by the new Kiro CLI, reflecting a shift from a simple terminal chatbot to a more advanced "agentic IDE" tool. Unlike its predecessor, Kiro CLI can reason about e…
A two-skill Claude Code plugin designed to analyze and modernize legacy Java 8 codebases to Java 21. The first skill, `/java-modernization-review`, analyzes a Java file and generates a scored report (1–100) across nine d…
Agentleash, a lightweight Python guardrail library (~280 lines) designed to enforce safety controls on LLM agents like Hermes Agent by intercepting tool calls at the function boundary. It implements four guards—USD spend…
OpenClaw, an open-source autonomous AI assistant created by former OpenAI employee Peter Steinberger, generated an OpenAI bill of $1.3 million in a single month while running 100 GPT-5.5 agents in production. The cost br…
Development of SafeRun, an inline reliability infrastructure for AI agents, and argues that post-incident debugging through state-capturing "Replay" functionality is more critical than pre-flight validation. The author e…
At Google I/O 2026, the company announced Gemini 3.5 Flash, a cheaper and faster AI model with multimodal reasoning and a 1M-token context window, alongside a new "AI Mode" for Search that allows autonomous web queries. …
Claude Code hooks are scripts that attach to lifecycle events (like PreToolUse or PostToolUse) to enforce deterministic rules, such as blocking dangerous shell commands or automatically formatting files after edits, rath…
The author reverse-engineered Apple's video wallpaper system to create Phosphene, an open-source tool that allows custom videos to play continuously on the macOS desktop (not just the lock screen). The tool uses the Wall…
In 2026, AI applications are widely deployed in production but present unique challenges such as unstable model outputs, high latency, and unpredictable costs, which traditional application performance monitoring (APM) c…
OpenAI's Codex reached 3 million weekly active users by April 2026, and while it gained persistent memory in an April 16 update, this memory is limited to being project-scoped, cloud-only, and locked within OpenAI's ecos…
As Microsoft Copilot in Power BI uses semantic model metadata to answer business questions, this metadata must be treated as critical engineering assets—reviewed, versioned, and stored in source control alongside model c…
The primary challenge in building effective AI agents is not the choice of AI model, but rather the "harness engineering" infrastructure surrounding it. This discipline encompasses the scaffolding for orchestration, eval…