---
title: AI Coding Tools
url: "https://goremy.ai/blog/topic/ai-coding-tools"
type: topic
section: AI News & Models
updated: "2026-11-12T17:20:09.246Z"
posts: 83
---

# AI Coding Tools

Claude Code, Codex, Cursor and other coding agents: how to use them, which to pick, and how to trust the code they write.

Answers: Which AI coding tool should I pick: Claude Code, Codex, or Cursor?

## Posts (83)

- [How Much Does Gemini 4 Carbon Cost and Who Can Use It?](https://goremy.ai/blog/articles/gemini-4-carbon-pricing-access-limits) (2026-11-12): Gemini 4 Carbon costs $2 per million input and $10 per million output tokens until November 30, then doubles. See who gets access and the 1M context limit.
- [Coding Agent Context Rot: How to Fix It With a Handoff File](https://goremy.ai/blog/articles/coding-agent-context-rot-handoff-document) (2026-11-12): Coding agents get worse in long chats. Learn to spot context rot, write a handoff.md for a fresh session, and keep key decisions in your hands.
- [Why Does Your AI Coding Agent Say It's Done When It's Broken?](https://goremy.ai/blog/articles/coding-agent-says-done-but-isnt-fix) (2026-11-12): AI coding agent claims it's finished but the app is broken? Use a devil's advocate prompt, a reviewer skill, and browser test evidence to fix it.
- [Can You Run Ripple 65B Locally? Hardware and Comparison](https://goremy.ai/blog/articles/ripple-65b-preview-run-locally) (2026-11-12): Ripple 65B Preview is a dense 65B open-weight model with 1M context. See memory needs, DGX Spark fit, API pricing and how it compares to peers.
- [How to Run Long Unattended Tasks With Gemini 4 Carbon](https://goremy.ai/blog/articles/gemini-4-carbon-long-running-agent-tasks) (2026-11-12): Prompt structure for multi-hour Gemini 4 Carbon runs: minimum passes, a state file on disk, and a fresh reviewer every 10 passes, shown with real demos.
- [What Is Agent-Native Version Control? How It Differs From Git](https://goremy.ai/blog/articles/what-is-agent-native-version-control) (2026-11-12): Agent-native version control tracks AI agent work as branches, checkpoints and history tied to prompts and specs. Here is how it differs from plain Git.
- [Nemotron Bolt vs Super: How Much Quality Does Bolt Lose?](https://goremy.ai/blog/articles/nemotron-bolt-vs-super-benchmarks-agent-tests) (2026-11-11): Nemotron 3.5 Bolt is a 2-bit version of the 120B Super. Compare benchmark drops (PinchBench 90 to 88, GPQA 89 to 86), file size, speed and what to test.
- [How Much Does Fable 5.2 Cost? Real Token Bills by Project](https://goremy.ai/blog/articles/fable-5-2-ultra-code-token-costs) (2026-11-11): Real token counts and API-equivalent costs for Fable 5.2 projects, from a $30 Blender house to a $15,000 game, plus Ultra Code and the usage reset.
- [How to Design Hardware With Claude Fable 5.2, Step by Step](https://goremy.ai/blog/articles/how-to-design-hardware-with-claude-fable-5-2) (2026-11-11): Use Claude Fable 5.2 to spec parts, write firmware, make STL enclosures and get an assembly guide. A walkthrough of a Raspberry Pi Pico desk gadget.
- [How Did Fable 5.2 Coordinate 1,000 Agents to Build an OS?](https://goremy.ai/blog/articles/fable-5-2-1000-agents-build-operating-system) (2026-11-11): Anthropic says Fable 5.2 ran 1,000+ sub-agents for 8 days to build a bootable OS from an empty folder. Here's what that shows and what it means for you.
- [What Can Fable 5.2 Build? Games, Excel and Editor Clones](https://goremy.ai/blog/articles/fable-5-2-demos-games-excel-clone-video-editor) (2026-11-10): Fable 5.2 built a Gears of War level, a Fall Guys clone, an Excel clone and a video editor from short prompts. See the prompts, hours, costs and misses.
- [How Does Claude-Mem Add Persistent Memory to Claude Code?](https://goremy.ai/blog/articles/claude-mem-persistent-memory-claude-code) (2026-11-10): Claude-Mem gives Claude Code memory across sessions. Learn how the hooks work, how to install it, and which privacy settings to change first.
- [Is OpenAI Replacing Git? What Agent-Scale Coding Breaks](https://goremy.ai/blog/articles/openai-agents-replace-git-codex-engineering) (2026-11-10): OpenAI's Vijay Raji says agent-generated code overwhelmed Git in its monorepo. Here is what broke, what the new system changes, and where review and CI strain.
- [How Does Devin Compare With Claude Code, Codex and Cursor?](https://goremy.ai/blog/articles/how-do-ai-assistants-compare-devin-with-other-coding-agents) (2026-11-10): Devin vs Claude Code, Codex, Cursor and other coding agents: how much each does unattended, where it runs, how you review work, and what fits which job.
- [Herdr vs Panda Code: Which Should You Use for Coding Agents?](https://goremy.ai/blog/articles/herdr-vs-panda-code-which-should-you-use) (2026-11-10): Herdr is a terminal runtime for coding agents; Panda Code is a desktop app with diffs and teams. Compare remote work, status, persistence and updates.
- [What's New in Herdr 0.9.5 for Running Coding Agents?](https://goremy.ai/blog/articles/herdr-0-9-5-multi-machine-agent-terminal) (2026-11-10): Herdr 0.9.5 adds multi-machine SSH, the --machine flag, per-client UI, safer updates, session persistence and agent self-reporting. Here is what to know.
- [How Does Andrej Karpathy Use Claude Code Day to Day?](https://goremy.ai/blog/articles/how-andrej-karpathy-uses-claude-code-opus-5-5) (2026-11-06): Karpathy reportedly runs Claude Code on Opus 5.5 at medium effort, writes tiny prompts, and delegates to Sonnet sub-agents. Here is the workflow.
- [Codex vs Claude Code: How Much Does the Harness Matter?](https://goremy.ai/blog/articles/frontier-harness-eval-same-model-different-harness) (2026-11-06): One model, nine harnesses, 30 tasks. Codex hit 66.7%, Claude Code and DeepSeek Harness 63.3%, but cost per success was $3.28 vs $18.34.
- [T3 Code vs Bamboo vs Delta vs Zed: Which Claude Code UI?](https://goremy.ai/blog/articles/t3-code-vs-bamboo-vs-delta-vs-zed) (2026-11-06): Compare T3 Code, Bamboo, Delta and Zed's external Claude agent on price, Claude subscription support, work trees, multi-agent features and data privacy.
- [Do Developers Still Need an IDE When Agents Write Code?](https://goremy.ai/blog/articles/future-of-ides-coding-agents-jetbrains) (2026-11-06): Coding agents like Claude Code and Codex write the code, but IDEs still matter for diffs, navigation, verification and docs. Review is the new bottleneck.
- [How to Measure AI Coding Agent Productivity in Your Team](https://goremy.ai/blog/articles/measure-ai-coding-productivity-weave-software-factory) (2026-11-06): Lines of code and PR counts miss what AI coding agents change. Here is how Weave models engineering work, tracks quality, and ties it to cost.
- [Weave Router vs OpenRouter: Which Is Better for Coding Agents?](https://goremy.ai/blog/articles/weave-router-vs-openrouter-coding-agents) (2026-11-06): Weave Router picks a model per coding task; OpenRouter is a model gateway. Compare routing, supported agents, open-source status, and fit for Claude Code.
- [How to Install and Use Taste Skill 2.1 for AI-Built Websites](https://goremy.ai/blog/articles/taste-skill-v2-ai-agent-frontend-design) (2026-11-04): Taste Skill 2.1 gives coding agents 20 design directions, public-domain photos and a browser inspector. Here is how to install it and where it falls short.
- [How Do You Use Codex as an AI Operating System for Business?](https://goremy.ai/blog/articles/codex-ai-operating-system-skills-plugins-subagents) (2026-11-03): Learn how one creator set up Codex as a business OS: persistent project context, reusable skills, plugins, sub-agents, schedules and phone voice control.
- [How Do Panda Code Agent Teams Work? Cheap, Balanced, Best](https://goremy.ai/blog/articles/panda-code-agent-teams-cheap-balanced-best) (2026-11-03): Set up Panda Code agent teams: cheap, balanced and best modes, router-first dispatch, retries, harness failover, model pauses and the S-to-D tier list.
- [How Do You Stop Deferring to Your Coding Agent's Plans?](https://goremy.ai/blog/articles/how-to-stop-deferring-to-coding-agent-recommendations) (2026-11-03): Anthropic's study found analysts followed their agent's lean 86% of the time. Here are three planning fixes for Claude Code and Codex.
- [How to Install and Use Google's EGM Plugin (Elephant Goldfish)](https://goremy.ai/blog/articles/google-egm-elephant-goldfish-model-plugin) (2026-10-31): Google's EGM plugin has an agent write a design doc, then fresh sub-agents review it. Install steps for Claude Code, Codex and Antigravity, plus commands.
- [How to Set Up Qwen Audio Agent With Claude Code for Voice](https://goremy.ai/blog/articles/qwen-audio-agent-claude-code-voice-setup) (2026-10-30): Set up the open-source Qwen Audio Agent with Claude Code over ACP: install, config, voice-built app tests, interruptions, task cancellation and cost notes.
- [What Is an AI Second Brain? The Four Cs Framework Explained](https://goremy.ai/blog/articles/ai-second-brain-four-cs-framework) (2026-10-29): An AI second brain needs four parts: context, connections, capabilities and cadence. See how to build one with Claude Code and Obsidian, and audit each part.
- [Agent Team Mode vs Single Chat: Which Is Better for Coding?](https://goremy.ai/blog/articles/agent-team-mode-vs-single-chat-coding) (2026-10-29): Team mode with an architect and parallel workers versus one coding chat: when file scopes and review agents pay off, and when they just burn tokens.
- [How to Build and Host a Game With AI (Bloodbench Workflow)](https://goremy.ai/blog/articles/how-to-build-game-with-ai-codex-claude-hostinger-vps) (2026-10-29): How one builder used Claude for research and art, Codex for code, AI testing and an Ubuntu VPS to ship Bloodbench, an LLM benchmark game.
- [When to Use Sub-Agents vs a Single Agent Loop](https://goremy.ai/blog/articles/fold-sub-agents-into-main-agent-loop) (2026-10-28): Anthropic argues teams overuse sub-agents. Learn the keep-in-loop test, the skills/tools/lookup split, the 30 to 50 tool limit, and how to fold safely.
- [How to Use CLI-Anything and CLI-Hub With Claude Code and Codex](https://goremy.ai/blog/articles/how-to-use-cli-anything-claude-code-codex) (2026-10-27): Install CLI-Hub, add the meta skill, and run /cli-anything to generate a tested CLI for Blender, LibreOffice or your own app in Claude Code or Codex.
- [How to Build a Task-Specific Agent Harness (Skills, Hooks)](https://goremy.ai/blog/articles/how-to-build-task-specific-agent-harness-skills-hooks) (2026-10-27): Design an agent harness for your own tasks: tiny prompts, on-demand skills, scripts, sub-agents, control-loop hooks, and where self-evolution breaks.
- [Lean REA vs REA: Is a Skill File Better Than an MCP Server?](https://goremy.ai/blog/articles/lean-rea-vs-rea-mcp-reverse-engineering-skill) (2026-10-27): Lean REA is an 8KB skill file that replaces the 207-tool REA MCP server. Compare speed, cost, turns and context use using the Sonnet 5.5 benchmark figures.
- [How to Set Up DeepSeek V4.1 Flash with Lean REA in PandaCode](https://goremy.ai/blog/articles/deepseek-v4-1-flash-lean-rea-pandacode-setup) (2026-10-26): Step-by-step setup for Lean REA reverse engineering with DeepSeek V4.1 Flash in PandaCode, plus costs, limits, and what to check before you run it.
- [How to Use Kimi K3.1 Pro in Claude Code Without Shortcuts](https://goremy.ai/blog/articles/how-to-use-kimi-k3-1-pro-in-claude-code) (2026-10-26): Practical rules for running Kimi K3.1 Pro inside Claude Code: pin the method, force GPU flags, track cost and effort, and verify with external grading scripts.
- [How to Use Claude Opus 5.5 for Long Coding Tasks](https://goremy.ai/blog/articles/claude-opus-5-5-long-task-engineering-workflow) (2026-10-24): Five habits for keeping Claude Opus 5.5 on track during hour-long coding runs: simple prompts, benchmarks, tests, reference designs, and team orchestration.
- [What Is Panda Code and How Does It Run Multiple Coding Agents?](https://goremy.ai/blog/articles/panda-code-open-source-coding-agent-gui) (2026-10-22): Panda Code is a free, open-source desktop app that runs Claude Code, Codex, Kimi and GLM agents in one window. Install steps and key features.
- [Panda Code vs T3 Code: How Do Startup Time and Memory Compare?](https://goremy.ai/blog/articles/panda-code-vs-t3-code-memory-speed) (2026-10-22): A creator's tests put Panda Code at about 0.3 seconds to open and 130 to 160MB idle, versus about 3 seconds and 700MB for T3 Code. Here's why.
- [How Do You Become a Solopreneur With Claude Code?](https://goremy.ai/blog/articles/claude-code-solopreneur-guide-services-sales) (2026-10-22): How to start a one-person AI services business with Claude Code: what to build, real project earnings, the sales funnel and the offer formula.
- [How Can an AI Agent Improve Its Own Harness in Production?](https://goremy.ai/blog/articles/agent-harness-engineering-langchain-managed-deep-agents) (2026-10-21): Learn how two loops, escalation memory and trace-based fixes in LangSmith Engine, help a production agent learn from mistakes while humans stay in control.
- [How to Set Up a GPT-6 Astra Software Factory](https://goremy.ai/blog/articles/how-to-set-up-a-gpt-6-astra-software-factory) (2026-10-21): Learn how to build a 24/7 AI software factory with GPT-6 Astra: the seven infrastructure stations, model routing, verification, and real build costs.
- [Can AI Build Enterprise Software? What Benchmarks Show](https://goremy.ai/blog/articles/can-ai-build-enterprise-software-what-benchmarks-show) (2026-10-21): Claude found new DNA machinery in 21 hours, yet AI agents solve only 25% to 39% of real enterprise coding tasks. See the benchmark data and failure modes.
- [How to Manage Multiple AI Coding Agents: A Practical Guide](https://goremy.ai/blog/articles/how-to-manage-multiple-ai-coding-agents-a-practical-guide) (2026-10-21): Learn how to run Claude Code, Copilot, Cursor, and Codex together with a secrets vault, git worktrees, task routing, human review gates, and audit trails.
- [How to Run Local AI Coding Agents with Open Source Tools](https://goremy.ai/blog/articles/how-to-run-local-ai-coding-agents-with-open-source-tools) (2026-10-21): Set up a free local AI coding agent with Ollama, Qwen2.5-Coder or Devstral, and Aider or Cline. Covers hardware, benchmarks, costs vs Copilot, and tradeoffs.
- [How to Review AI-Generated Pull Requests: A Step-by-Step Workflow](https://goremy.ai/blog/articles/how-to-review-ai-generated-pull-requests-a-step-by-step-workflow) (2026-10-21): Learn how to review AI-generated pull requests with automated security gates, slopsquatting defenses, and a human checklist built for how AI agents fail.
- [How to Run Multiple AI Coding Agents on One Repo Safely](https://goremy.ai/blog/articles/how-to-run-multiple-ai-coding-agents-on-one-repo-safely) (2026-10-21): Learn how to run several AI coding agents on one repo without merge conflicts, using git worktrees, ownership-based task splits, serial merges, and CODEOWNERS.
- [How to Scan AI-Generated Code for Vulnerabilities Before Merge](https://goremy.ai/blog/articles/how-to-scan-ai-generated-code-for-vulnerabilities-before-merge) (2026-10-21): Set up a CI gate with secrets scanning, dependency checks for hallucinated packages, and blocking SAST, enforced by branch protection on every pull request.
- [What Is AI Code Bloat? How to Measure and Manage It](https://goremy.ai/blog/articles/what-is-ai-code-bloat-how-to-measure-and-manage-it) (2026-10-21): AI code bloat explained: how duplication, falling code reuse, and error-masking show up in GitClear, DORA, and CodeRabbit data, plus metrics to track.
- [What Is Explainable AI for Code? How to Audit AI-Written Code](https://goremy.ai/blog/articles/what-is-explainable-ai-for-code-how-to-audit-ai-written-code) (2026-10-21): Learn how explainable AI and reverse engineering help you audit AI-generated code, reduce cognitive debt, and meet compliance needs, with data from recent studies.
- [How to Tell If AI Is Actually Making Developers More Productive](https://goremy.ai/blog/articles/how-to-tell-if-ai-is-actually-making-developers-more-productive) (2026-10-20): METR, DORA, and Faros data show AI can slow developers and hurt delivery stability. Learn five signs your AI coding stack adds output but not value.
- [What Is an AI Skill File? SKILL.md vs MCP Servers Explained](https://goremy.ai/blog/articles/what-is-an-ai-skill-file-skill-md-vs-mcp-servers-explained) (2026-10-20): An AI skill file (SKILL.md) is a markdown folder of instructions an agent loads on demand. Learn the format, token costs, and how it compares to MCP servers.
- [Can You Run a Dev Environment in the Browser? WebContainers and More](https://goremy.ai/blog/articles/can-you-run-a-dev-environment-in-the-browser-webcontainers-and) (2026-10-20): Can you build a full-stack app with no cloud compute? We tested WebContainers, WebVM, Pyodide, HiGHS-js, and WebLLM to find what works and where it breaks.
- [Is AI-Generated Code Secure? 2025 Data on Copilot Leaks and Agent Risks](https://goremy.ai/blog/articles/is-ai-generated-code-secure-2025-data-on-copilot-leaks-and-agent) (2026-10-20): AI-generated code fails security checks 45% of the time, Copilot repos leak secrets 40% more often, and shadow AI adds $670,000 to breach costs, per 2025 data.
- [How to Review AI-Generated Code: A Checklist for Developers](https://goremy.ai/blog/articles/how-to-review-ai-generated-code-a-checklist-for-developers) (2026-10-20): Learn how to review AI-generated code: verify behavior, check dependencies, scan for security flaws, and add monitoring. Includes data on why standard PR review fails.
- [The Verification Bottleneck: When Your AI Writes Logic You Can't Audit](https://goremy.ai/blog/articles/how-to-verify-ai-generated-complex-logic-a-governance-guide) (2026-10-16): Human review can't keep up with AI-generated code and math. Here's why formal, machine-checkable verification is becoming the real governance control.
- [AI Agents That Write Code From Diagrams: What's Actually Shipping](https://goremy.ai/blog/articles/ai-agents-that-write-code-from-diagrams-explained) (2026-10-11): Diagrams and canvases now generate working code. See how tldraw, Figma, and Coinbase's own agent turn sketches into shipped internal tools.
- [How to Enjoy Programming With AI (Without Losing the Craft)](https://goremy.ai/blog/articles/how-to-enjoy-programming-with-ai-again) (2026-10-02): Developers are burned out by shallow AI prompting. The fix: redirect AI toward boilerplate and owned internal tools, not another rented SaaS subscription.
- [AI Query Optimization vs. Postgres: An Experiment in Owning the Planner](https://goremy.ai/blog/articles/ai-query-optimization-vs-postgres-can-you-own-the-planner) (2026-09-30): Bao and LLM-QO beat Postgres's planner by 20-70%. Here's whether a cheap, fine-tuned 4B model can be owned outright instead of rented from a vendor.
- [Open Source AI IDEs for Agents: Inside the Workspace Replacing Solo Coding](https://goremy.ai/blog/articles/open-source-ai-ides-for-agents-cline-desktop-and-whiteboard) (2026-09-27): Cline Desktop and Whiteboard show what an open-source, agent-native IDE requires: model flexibility, self-hosting, and real governance controls.
- [Securing AI-Generated Code: How Slopsquatting Exploits Hallucinated Packages](https://goremy.ai/blog/articles/securing-ai-generated-code-the-slopsquatting-risk) (2026-09-27): AI coding tools hallucinate open-source packages, and attackers register them with malware. Here's how to secure AI-generated code before slopsquatting reaches production.
- [We Analyzed 10,000 Lines of AI-Generated Code. Here's How to Measure the Sloppiness.](https://goremy.ai/blog/articles/how-to-measure-ai-code-quality-a-sloppiness-framework) (2026-09-27): The research is consistent: AI code ships faster and breaks more. Here's the churn, duplication, and complexity toolkit that quantifies it.
- [How AI's Math Breakthroughs Are Changing Software Engineering](https://goremy.ai/blog/articles/how-ai-math-breakthroughs-are-changing-software-engineering) (2026-09-26): AI hit IMO gold medal reasoning in 2025. That same machinery now verifies code correctness, changing the risk math behind build vs. buy decisions.
- [AI Coding Agents Broke CI/CD. Here's How Teams Are Fixing the Bottleneck](https://goremy.ai/blog/articles/ai-coding-agents-and-the-ci-cd-bottleneck-whats-breaking-why) (2026-09-23): AI agents now outpace CI/CD, review, and staging. The data on the bottleneck, what an intent conflict is, and the five fixes teams are building.
- [How to Write Specs for AI Coding Agents](https://goremy.ai/blog/articles/how-to-write-specs-for-ai-coding-agents) (2026-09-22): AI made writing code cheap. Correctness is the expensive part now. Here's how to write specs that actually guide coding agents to build it right.
- [AI Agent Chat Portability for Code: How to Avoid Vendor Lock-in](https://goremy.ai/blog/articles/ai-agent-chat-portability-for-code-avoiding-vendor-lock-in) (2026-09-19): Losing an AI coding vendor means losing sealed chat history and reasoning, not just code. Here's how to keep that context portable and owned.
- [The Best AI Coding Agents in 2026: Claude Code, Cursor, Devin, and What Replaced Autocomplete](https://goremy.ai/blog/articles/best-ai-coding-agents-2026-claude-code-cursor-devin-more) (2026-09-18): The best AI coding agents in 2026 don't autocomplete, they ship. A practitioner's guide to Claude Code, Cursor, Devin, and the local tools replacing SaaS.
- [The AI Agent Code Security Workflow You Need Before You Ship](https://goremy.ai/blog/articles/ai-agent-code-security-workflow-a-step-by-step-guide) (2026-09-12): How to build a mandatory security scanning gate into AI coding agent workflows, with SAST, SCA, human review, and logging for agents like GPT-6 Astra.
- [What Are AI Agent Skills Files (SKILL.md)?](https://goremy.ai/blog/articles/what-are-ai-agent-skills-files-skill-md) (2026-09-11): SKILL.md skills files are plain-text onboarding guides for AI agents. Here's how progressive disclosure works, why sprawl and security risks are real, and how skills pair with MCP.
- [How to Test AI-Generated Code Before It Breaks Production](https://goremy.ai/blog/articles/how-to-test-ai-generated-code-before-it-ships) (2026-09-10): Human review can't catch vibe-coded PRs anymore. Here's the mechanical pipeline, from mutation testing to canary releases, that tests AI code before it merges.
- [Can AI Write Code for Microcontrollers? Yes, But That's Not the Interesting Part](https://goremy.ai/blog/articles/can-ai-write-code-for-microcontrollers-yes-heres-the-ceiling) (2026-09-09): AI writes microcontroller firmware, decodes undocumented chips, and now designs PCBs from prompts. What it can and can't do, with real numbers.
- [The Best Tools for AI Coding Agents Aren't the Fancy Ones](https://goremy.ai/blog/articles/best-tools-for-ai-coding-agents-why-grep-beats-lsp) (2026-09-07): Three independent studies show AI coding agents default to grep over LSP and embeddings. Here's the data and the layered toolchain that actually works.
- [The Taste-Tester Protocol: How to Evaluate AI-Generated Code When Benchmarks Lie](https://goremy.ai/blog/articles/how-to-evaluate-ai-generated-code-the-taste-tester-protocol) (2026-09-07): Benchmarks like ARC-AGI-3 and SWE-bench overstate real-world AI coding accuracy. Here's the pairing protocol that closes the gap before code ships.
- [How to Secure AI-Generated Code: A Practical Governance Framework](https://goremy.ai/blog/articles/how-to-secure-ai-generated-code-a-step-by-step-framework) (2026-09-06): AI-generated code fails security checks far more than human code. Here's the governance framework: inventory, scanning, secure defaults, and ownership.
- [What is Agentic Context Management?](https://goremy.ai/blog/articles/what-is-agentic-context-management-a-plain-english-guide) (2026-09-02): Why AI agent bills spiral and how agentic context management (ACM) controls memory architecture to stop runaway token costs. A practitioner's breakdown.
- [Why Your Coding Agent is Ignoring You (And How to Fix It)](https://goremy.ai/blog/articles/why-your-ai-coding-agent-ignores-rules-and-the-fix) (2026-09-02): CLAUDE.md and AGENTS.md files are prompts, not code. Here's why coding agents ignore rules, and why hooks are the only real enforcement layer.
- [The Security Threat of Agentic Code: How Copilot and Autonomous AI Are Breaking Enterprise Systems](https://goremy.ai/blog/articles/ai-coding-assistant-security-risks-what-copilot-is-breaking) (2026-08-29): AI code is insecure 45% of the time and agents have deleted production databases. Here is the real data on Copilot and agentic coding risk.
- [How to Use AI Coding Tools to Resurrect Legacy Internal Systems: A How-To Guide](https://goremy.ai/blog/articles/how-to-use-ai-to-update-legacy-software-a-practical-how-to) (2026-08-28): Skip the SaaS replacement. Learn the step-by-step process for using AI coding tools to patch, test, and keep owned legacy systems running.
- [The Rise of the AI Agent Harness: Securing Automated Coding](https://goremy.ai/blog/articles/what-is-an-ai-agent-harness-a-plain-english-explainer) (2026-08-27): AI agent harnesses sandbox, log, and secure coding agents. Here's what they are, why DeepSeek, Zed, and OneCLI are all building one, and how they work.
- [Securing the Code Your AI Wrote: 5 Rules for the Copilot Era](https://goremy.ai/blog/articles/ai-generated-code-security-risks-5-governance-rules) (2026-08-26): AI coding tools produce vulnerable code and sometimes game their own tests. Here are 5 governance rules for auditing AI-generated software safely.
- [The Rise of the Self-Hosted Agent Factory: How to Self-Host AI Coding Agents](https://goremy.ai/blog/articles/how-to-self-host-ai-coding-agents-a-practical-guide) (2026-08-26): Skip the per-seat AI coding bill. A practitioner's guide to building your own sandboxed, self-hosted agent stack with Aider, Cline, and OpenHands.
- [What is an AI Harness? The Infrastructure Behind Autonomous Agents Explained](https://goremy.ai/blog/articles/what-is-an-ai-harness-a-plain-english-explainer) (2026-08-24): An AI harness is the software around a language model that turns it into an agent. Here's what it does and how open-source servers use it.