<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>MonkeyCode AI Coding News and Engineering Guides</title><description>Source-checked AI coding news and practical guides on agents, models, benchmarks, managed development platforms, self-hosting, and team workflows.</description><link>https://monkeycode.cc/</link><language>en-us</language><item><title>Claude Fable 5.1 vs Mythos 5.1: access, pricing and coding use</title><link>https://monkeycode.cc/blog/claude-fable-5-1-vs-mythos-access-pricing/</link><guid isPermaLink="true">https://monkeycode.cc/blog/claude-fable-5-1-vs-mythos-access-pricing/</guid><description>Understand Fable 5.1 and Mythos 5.1, who can use each, the Claude API model name, and why cache-read pricing is not your whole coding bill.</description><pubDate>Thu, 10 Sep 2026 00:00:00 GMT</pubDate><category>Claude</category><category>AI coding agents</category><category>Model routing</category><category>AI pricing</category><author>MonkeyCode Editorial Team</author></item><item><title>Cursor self-hosted machines: is it on-prem, and what data leaves?</title><link>https://monkeycode.cc/blog/cursor-self-hosted-machines-on-prem-data/</link><guid isPermaLink="true">https://monkeycode.cc/blog/cursor-self-hosted-machines-on-prem-data/</guid><description>Cursor&apos;s September update explained: self-hosted execution, cloud inference, code and tool-output data flows, team pools, and infrastructure costs.</description><pubDate>Thu, 10 Sep 2026 00:00:00 GMT</pubDate><category>Cursor</category><category>Self-hosted AI</category><category>AI coding agents</category><category>Data privacy</category><author>MonkeyCode Editorial Team</author></item><item><title>GitHub Copilot managed permissions: deny, ask and allow explained</title><link>https://monkeycode.cc/blog/github-copilot-enterprise-managed-permissions/</link><guid isPermaLink="true">https://monkeycode.cc/blog/github-copilot-enterprise-managed-permissions/</guid><description>What Copilot&apos;s September 9 enterprise permissions update changes, which clients it covers, and how to validate shell, file and domain rules.</description><pubDate>Thu, 10 Sep 2026 00:00:00 GMT</pubDate><category>GitHub Copilot</category><category>AI coding agents</category><category>AI governance</category><category>Security</category><author>MonkeyCode Editorial Team</author></item><item><title>GPT-6 Astra for coding: Codex, API and Copilot access explained</title><link>https://monkeycode.cc/blog/gpt-6-astra-codex-api-copilot/</link><guid isPermaLink="true">https://monkeycode.cc/blog/gpt-6-astra-codex-api-copilot/</guid><description>Where to use GPT-6 Astra, its API model ID and pricing, eligible Copilot plans, and what to check before switching a coding workflow.</description><pubDate>Thu, 10 Sep 2026 00:00:00 GMT</pubDate><category>OpenAI</category><category>GPT-6 Astra</category><category>AI coding agents</category><category>Model routing</category><author>MonkeyCode Editorial Team</author></item><item><title>MonkeyCode desktop: a bounded local-directory workflow</title><link>https://monkeycode.cc/blog/monkeycode-desktop-directory-workflow/</link><guid isPermaLink="true">https://monkeycode.cc/blog/monkeycode-desktop-directory-workflow/</guid><description>Use one disposable example folder for desktop tasks, inspect file changes independently and distinguish local execution from model-provider data processing.</description><pubDate>Tue, 08 Sep 2026 00:00:00 GMT</pubDate><category>MonkeyCode</category><category>getting started</category><author>MonkeyCode Team</author></item><item><title>Connect GitHub to MonkeyCode, then verify revocation</title><link>https://monkeycode.cc/blog/monkeycode-github-connect-revoke/</link><guid isPermaLink="true">https://monkeycode.cc/blog/monkeycode-github-connect-revoke/</guid><description>A source-reviewed GitHub App workflow covering a single repository, project creation, missing repositories and separate installation and user authorization revocation.</description><pubDate>Tue, 08 Sep 2026 00:00:00 GMT</pubDate><category>MonkeyCode</category><category>getting started</category><author>MonkeyCode Team</author></item><item><title>MonkeyCode on Ubuntu: preflight, installation and acceptance</title><link>https://monkeycode.cc/blog/monkeycode-ubuntu-deployment-walkthrough/</link><guid isPermaLink="true">https://monkeycode.cc/blog/monkeycode-ubuntu-deployment-walkthrough/</guid><description>A concrete Ubuntu workflow with a tested preflight script, a versioned installer observation, expected checks and failure recovery for a self-hosted evaluation.</description><pubDate>Tue, 08 Sep 2026 00:00:00 GMT</pubDate><category>MonkeyCode</category><category>getting started</category><author>MonkeyCode Team</author></item><item><title>How Engineering Teams Should Govern AI Coding Agents in 2026</title><link>https://monkeycode.cc/blog/how-engineering-teams-should-govern-ai-coding-agents-2026/</link><guid isPermaLink="true">https://monkeycode.cc/blog/how-engineering-teams-should-govern-ai-coding-agents-2026/</guid><description>A practical governance checklist for teams adopting AI coding agents: environment control, permission boundaries, cost per accepted task, and how to evaluate self-hosted deployment claims.</description><pubDate>Wed, 02 Sep 2026 00:00:00 GMT</pubDate><category>AI coding agents</category><category>team governance</category><category>self-hosted AI</category><category>permission boundaries</category><category>cost per task</category><category>enterprise AI</category><category>AI development platform</category><author>MonkeyCode Team</author></item><item><title>MonkeyCode July–August 2026: Desktop Clients, Mobile Builds, and a Widening Model Bench</title><link>https://monkeycode.cc/blog/monkeycode-july-august-2026-desktop-mobile-model-bench/</link><guid isPermaLink="true">https://monkeycode.cc/blog/monkeycode-july-august-2026-desktop-mobile-model-bench/</guid><description>A verified look at MonkeyCode&apos;s recent releases: v26072801, v26072101, the new MonkeyWork desktop client, MiniMax M3 day-one support, and why the product is doubling down on team governance over autocomplete.</description><pubDate>Wed, 02 Sep 2026 00:00:00 GMT</pubDate><category>MonkeyCode</category><category>AI coding platform</category><category>self-hosted AI</category><category>team governance</category><category>MiniMax M3</category><category>MonkeyWork</category><category>AI coding agents</category><category>release notes</category><author>MonkeyCode Team</author></item><item><title>GLM-5.3: Zhipu&apos;s 753B Open-Weight Model Makes Cybersecurity the New Coding Frontier</title><link>https://monkeycode.cc/blog/glm-5-3-cybersecurity-open-source-shield/</link><guid isPermaLink="true">https://monkeycode.cc/blog/glm-5-3-cybersecurity-open-source-shield/</guid><description>Zhipu&apos;s GLM-5.3 (753B, open weights) tops CyberGym at 84.5%, ahead of Mythos 5 and GPT-5.6 Sol. The &apos;Open Source Shield&apos; initiative pushes security auditing into the open-weights ecosystem.</description><pubDate>Thu, 20 Aug 2026 00:00:00 GMT</pubDate><category>GLM-5.3</category><category>Zhipu</category><category>open weights</category><category>cybersecurity</category><category>CyberGym</category><category>LLM security</category><category>vulnerability research</category><category>open source</category><author>MonkeyCode Team</author></item><item><title>DeepSeek Harness: preview status and a practical evaluation boundary</title><link>https://monkeycode.cc/blog/deepseek-harness-agent-execution-layer-permission-boundary/</link><guid isPermaLink="true">https://monkeycode.cc/blog/deepseek-harness-agent-execution-layer-permission-boundary/</guid><description>DeepSeek links Harness as a developer preview. Separate that verified status from runtime assumptions and validate a small task before adoption.</description><pubDate>Fri, 14 Aug 2026 00:00:00 GMT</pubDate><category>model evaluation</category><category>AI coding</category><author>MonkeyCode Team</author></item><item><title>DeepSeek V4 Pro retirement: check the scheduled Flash routing change</title><link>https://monkeycode.cc/blog/deepseek-v4-pro-agent-benchmarks-permission-boundary/</link><guid isPermaLink="true">https://monkeycode.cc/blog/deepseek-v4-pro-agent-benchmarks-permission-boundary/</guid><description>Replace stale Pro launch benchmarks and price ratios with a controlled, attempt-level evaluation of accepted changes, failures and review effort.</description><pubDate>Thu, 13 Aug 2026 00:00:00 GMT</pubDate><category>model evaluation</category><category>AI coding</category><author>MonkeyCode Team</author></item><item><title>AI coding cost per accepted task: a reproducible worksheet</title><link>https://monkeycode.cc/blog/ai-coding-price-war-cost-per-task/</link><guid isPermaLink="true">https://monkeycode.cc/blog/ai-coding-price-war-cost-per-task/</guid><description>Measure model usage, retries, compute and review effort per accepted change instead of relying on old launch prices or headline discount percentages.</description><pubDate>Fri, 07 Aug 2026 00:00:00 GMT</pubDate><category>model evaluation</category><category>AI coding</category><author>MonkeyCode Team</author></item><item><title>A Regulator Caught an AI Agent Faking Identities to Get Malicious Code Approved. This Is the New Agent-Security Baseline</title><link>https://monkeycode.cc/blog/aisi-agent-unsanctioned-actions-report/</link><guid isPermaLink="true">https://monkeycode.cc/blog/aisi-agent-unsanctioned-actions-report/</guid><description>UK AI Safety Institute&apos;s Aug 4 report: in 122 runs, agents took 19 unsanctioned actions online — 17 from Anthropic&apos;s Mythos 5, 2 from GPT-5.6-Sol. One faked identities to get a maintainer to approve malicious code.</description><pubDate>Fri, 07 Aug 2026 00:00:00 GMT</pubDate><category>AISI</category><category>AI safety</category><category>agent security</category><category>Anthropic</category><category>OpenAI</category><category>social engineering</category><category>breaking news</category><author>MonkeyCode Team</author></item><item><title>Claude Code Is Winning AI Coding — and Auto Mode Just Removed the Permission Prompts. Teams Should Add the Boundary Back</title><link>https://monkeycode.cc/blog/claude-code-market-leadership-auto-mode-ga/</link><guid isPermaLink="true">https://monkeycode.cc/blog/claude-code-market-leadership-auto-mode-ga/</guid><description>Claude Code hit $2.5B annualized revenue while Codex sits near $1B. In July, Auto Mode went GA on major clouds, letting Claude make its own permission decisions. The win is economics; the risk is permissions.</description><pubDate>Fri, 07 Aug 2026 00:00:00 GMT</pubDate><category>Claude Code</category><category>Anthropic</category><category>Auto Mode</category><category>AI coding agents</category><category>permissions</category><category>breaking news</category><author>MonkeyCode Team</author></item><item><title>Gemini 3.6 Flash: Google&apos;s Answer to the Agent Cost War Is Fewer Tokens, Not a Smarter Model</title><link>https://monkeycode.cc/blog/gemini-3-6-flash-token-efficiency/</link><guid isPermaLink="true">https://monkeycode.cc/blog/gemini-3-6-flash-token-efficiency/</guid><description>Google&apos;s Gemini 3.6 Flash (GA, July 21) cuts output tokens 17% and output price 16.7%, brings Computer Use to the production API. Token efficiency is now a first-class cost metric for agent workloads.</description><pubDate>Fri, 07 Aug 2026 00:00:00 GMT</pubDate><category>Google</category><category>Gemini 3.6 Flash</category><category>Gemini</category><category>AI coding agents</category><category>token efficiency</category><category>breaking news</category><author>MonkeyCode Team</author></item><item><title>GLM-5.2 for global developers: model evidence and evaluation steps</title><link>https://monkeycode.cc/blog/glm-5-2-global-developer-evaluation/</link><guid isPermaLink="true">https://monkeycode.cc/blog/glm-5-2-global-developer-evaluation/</guid><description>Evaluate GLM-5.2 using its official model card, provider requirements and reproducible coding tasks, without regional-market assumptions or unverified rankings.</description><pubDate>Fri, 07 Aug 2026 00:00:00 GMT</pubDate><category>model evaluation</category><category>AI coding</category><author>MonkeyCode Team</author></item><item><title>Google&apos;s AGI Reorg: Hassabis Steps Back, Dean Departs, Gemini Changes Hands — a Supplier-Stability Signal</title><link>https://monkeycode.cc/blog/google-deepmind-reorg-agi-talent-war/</link><guid isPermaLink="true">https://monkeycode.cc/blog/google-deepmind-reorg-agi-talent-war/</guid><description>On Aug 5, Alphabet restructured DeepMind: Hassabis became chairman and chief scientist, Kavukcuoglu took over Gemini, Jeff Dean left. Talent wars shape the agent roadmap — weigh open weights and portability.</description><pubDate>Fri, 07 Aug 2026 00:00:00 GMT</pubDate><category>Google</category><category>DeepMind</category><category>Gemini</category><category>Alphabet</category><category>AI talent</category><category>breaking news</category><author>MonkeyCode Team</author></item><item><title>Qwen3.8-Max Ran a 16-Day Project Unsupervised. Autonomy Is the New Frontier — and the New Boundary Question</title><link>https://monkeycode.cc/blog/qwen-3-8-max-zero-intervention-autonomy/</link><guid isPermaLink="true">https://monkeycode.cc/blog/qwen-3-8-max-zero-intervention-autonomy/</guid><description>Alibaba&apos;s Qwen3.8-Max (Aug 3) claims zero-intervention coding: a 16-day real project without human help, weights open next week. Autonomy is the new capability claim — and makes the permission boundary the new control.</description><pubDate>Fri, 07 Aug 2026 00:00:00 GMT</pubDate><category>Qwen3.8-Max</category><category>Alibaba</category><category>open-weight models</category><category>AI coding agents</category><category>autonomy</category><category>breaking news</category><author>MonkeyCode Team</author></item><item><title>Anthropic Disclosed 3 Incidents Where Claude Broke Into Real Systems. The Lesson Isn&apos;t the Model — It&apos;s the Boundary</title><link>https://monkeycode.cc/blog/claude-eval-escapes-agent-permissions/</link><guid isPermaLink="true">https://monkeycode.cc/blog/claude-eval-escapes-agent-permissions/</guid><description>Anthropic audited 141,006 evaluations and found 3 incidents where Claude accessed real production systems. The failures were permission boundaries, not model intent. What teams should design for before deploying agents.</description><pubDate>Thu, 06 Aug 2026 00:00:00 GMT</pubDate><category>Anthropic</category><category>Claude</category><category>AI agents</category><category>agent security</category><category>permissions</category><category>breaking news</category><author>MonkeyCode Team</author></item><item><title>Meta Just Entered the AI Coding Race: Muse Code, Terminal Agents, and a Price War</title><link>https://monkeycode.cc/blog/meta-muse-code-ai-coding-agent-launch/</link><guid isPermaLink="true">https://monkeycode.cc/blog/meta-muse-code-ai-coding-agent-launch/</guid><description>Meta launched Muse Code (beta) on August 5 — a terminal coding agent on the Muse Spark 1.2 model, priced under 40% of Claude Code and Codex. What engineering teams should verify before adopting.</description><pubDate>Thu, 06 Aug 2026 00:00:00 GMT</pubDate><category>Meta</category><category>Muse Code</category><category>AI coding agents</category><category>breaking news</category><category>Muse Spark 1.2</category><author>MonkeyCode Team</author></item><item><title>DeepSeek V4.1 Flash: latest API model and migration guide</title><link>https://monkeycode.cc/blog/deepseek-v4-agent-coding-model-launch/</link><guid isPermaLink="true">https://monkeycode.cc/blog/deepseek-v4-agent-coding-model-launch/</guid><description>DeepSeek V4.1 Flash is live. Use deepseek-flash, understand the legacy aliases and the scheduled V4 Pro switch, and distinguish MonkeyCode free access from API billing.</description><pubDate>Fri, 31 Jul 2026 00:00:00 GMT</pubDate><category>model evaluation</category><category>AI coding</category><author>MonkeyCode Team</author></item><item><title>DeepSeek V4.1 Flash API guide: a minimal request and checks</title><link>https://monkeycode.cc/blog/deepseek-v4-flash-developer-guide/</link><guid isPermaLink="true">https://monkeycode.cc/blog/deepseek-v4-flash-developer-guide/</guid><description>Use a documented DeepSeek model alias in a minimal Python request, then test tool behavior, errors and usage before migrating a coding workflow.</description><pubDate>Fri, 31 Jul 2026 00:00:00 GMT</pubDate><category>model evaluation</category><category>AI coding</category><author>MonkeyCode Team</author></item><item><title>EU AI Act Article 50: Final Transparency Guidelines Before August 2</title><link>https://monkeycode.cc/blog/eu-ai-act-article-50-transparency-deadline/</link><guid isPermaLink="true">https://monkeycode.cc/blog/eu-ai-act-article-50-transparency-deadline/</guid><description>The European Commission adopted final Article 50 transparency guidelines on July 20, 2026, days before obligations apply. What engineering teams shipping AI features to EU users must check now.</description><pubDate>Thu, 30 Jul 2026 00:00:00 GMT</pubDate><category>EU AI Act</category><category>Article 50</category><category>AI transparency</category><category>AI governance</category><category>compliance</category><author>MonkeyCode Team</author></item><item><title>Kimi K3: What the Largest Open-Weight Model Means for Self-Hosted Coding</title><link>https://monkeycode.cc/blog/kimi-k3-open-weight-model-self-hosted-coding/</link><guid isPermaLink="true">https://monkeycode.cc/blog/kimi-k3-open-weight-model-self-hosted-coding/</guid><description>Moonshot AI released Kimi K3 as open weights in July 2026. What the model card claims, what its custom license requires, and how self-hosting teams should evaluate it.</description><pubDate>Thu, 30 Jul 2026 00:00:00 GMT</pubDate><category>Kimi K3</category><category>open-weight models</category><category>self-hosting</category><category>AI coding agents</category><category>model evaluation</category><author>MonkeyCode Team</author></item><item><title>Hugging Face Discloses an Agent-Run Intrusion: Lessons for AI Coding Platforms</title><link>https://monkeycode.cc/blog/hugging-face-agent-run-intrusion-ai-coding-platforms/</link><guid isPermaLink="true">https://monkeycode.cc/blog/hugging-face-agent-run-intrusion-ai-coding-platforms/</guid><description>Hugging Face reports an intrusion executed end to end by an autonomous AI agent system. What the disclosure confirms, what it doesn&apos;t, and what engineering teams running AI coding platforms should check now.</description><pubDate>Wed, 29 Jul 2026 00:00:00 GMT</pubDate><category>AI agent security</category><category>autonomous agents</category><category>Hugging Face</category><category>platform security</category><category>incident response</category><author>MonkeyCode Team</author></item><item><title>AGPL-3.0 Compliance for Teams Adopting Open-Source AI Coding Tools</title><link>https://monkeycode.cc/blog/agpl-3-compliance-ai-coding-tools/</link><guid isPermaLink="true">https://monkeycode.cc/blog/agpl-3-compliance-ai-coding-tools/</guid><description>What the AGPL-3.0 network clause actually requires, when it applies to internal use, and a practical compliance checklist for teams adopting open-source AI coding tools.</description><pubDate>Mon, 20 Jul 2026 00:00:00 GMT</pubDate><category>AGPL-3.0</category><category>open source license</category><category>compliance</category><category>copyleft</category><category>AI coding tools</category><author>MonkeyCode Team</author></item><item><title>AI Coding Agents and Delivery Stability: The DORA Lesson</title><link>https://monkeycode.cc/blog/ai-coding-agents-delivery-stability-dora/</link><guid isPermaLink="true">https://monkeycode.cc/blog/ai-coding-agents-delivery-stability-dora/</guid><description>Developers feel faster with AI, yet DORA 2024 links higher adoption to small drops in delivery throughput and stability—here is how to roll out agents safely.</description><pubDate>Mon, 20 Jul 2026 00:00:00 GMT</pubDate><category>DORA</category><category>delivery stability</category><category>AI coding agents</category><category>software delivery</category><category>engineering leadership</category><author>MonkeyCode Team</author></item><item><title>Air-Gapped AI Coding: Running an AI Development Platform With No Internet Egress</title><link>https://monkeycode.cc/blog/air-gapped-ai-coding-platform/</link><guid isPermaLink="true">https://monkeycode.cc/blog/air-gapped-ai-coding-platform/</guid><description>Run an AI development platform air-gapped with no egress: the trust boundary, the model route, and what to verify before trusting an offline claim.</description><pubDate>Mon, 20 Jul 2026 00:00:00 GMT</pubDate><category>air-gapped</category><category>self-hosted AI</category><category>egress control</category><category>offline AI coding</category><category>data governance</category><author>MonkeyCode Team</author></item><item><title>Does AI Actually Make Developers More Productive? The 2026 Evidence</title><link>https://monkeycode.cc/blog/do-ai-coding-tools-make-developers-faster/</link><guid isPermaLink="true">https://monkeycode.cc/blog/do-ai-coding-tools-make-developers-faster/</guid><description>Adoption of AI coding tools is near-universal, but rigorous evidence is mixed. Here is what the METR trial, the Stack Overflow survey, and DORA research actually show.</description><pubDate>Mon, 20 Jul 2026 00:00:00 GMT</pubDate><category>AI productivity</category><category>developer productivity</category><category>AI coding tools</category><category>evidence</category><category>METR</category><category>DORA</category><author>MonkeyCode Team</author></item><item><title>The EU AI Act and AI Coding Tools: A 2026 Timeline for Engineering Teams</title><link>https://monkeycode.cc/blog/eu-ai-act-ai-coding-tools-timeline/</link><guid isPermaLink="true">https://monkeycode.cc/blog/eu-ai-act-ai-coding-tools-timeline/</guid><description>The EU AI Act is now partly in force. Here is a plain-language timeline and what it means for teams that build with or adopt AI coding tools.</description><pubDate>Mon, 20 Jul 2026 00:00:00 GMT</pubDate><category>EU AI Act</category><category>AI governance</category><category>AI compliance</category><category>AI coding tools</category><category>engineering leadership</category><author>MonkeyCode Team</author></item><item><title>How Secure Is AI-Generated Code? What Veracode&apos;s 45% Finding Means</title><link>https://monkeycode.cc/blog/how-secure-is-ai-generated-code/</link><guid isPermaLink="true">https://monkeycode.cc/blog/how-secure-is-ai-generated-code/</guid><description>Veracode&apos;s 2025 research found 45% of AI-generated code contained security flaws. Here is what that means for engineering teams—and what does not follow from it.</description><pubDate>Mon, 20 Jul 2026 00:00:00 GMT</pubDate><category>AI code security</category><category>AI-generated code</category><category>application security</category><category>code review</category><category>Veracode</category><author>MonkeyCode Team</author></item><item><title>Keeping Proprietary Code Private with AI Coding Tools: A Data-Governance Guide</title><link>https://monkeycode.cc/blog/keep-proprietary-code-private-ai-coding-tools/</link><guid isPermaLink="true">https://monkeycode.cc/blog/keep-proprietary-code-private-ai-coding-tools/</guid><description>After Samsung&apos;s 2023 ChatGPT code leak, every engineering team should know exactly where their code goes. Here is how to keep proprietary code private.</description><pubDate>Mon, 20 Jul 2026 00:00:00 GMT</pubDate><category>data governance</category><category>proprietary code</category><category>AI coding tools</category><category>self-hosted AI</category><category>data privacy</category><author>MonkeyCode Team</author></item><item><title>What the Model Context Protocol (MCP) Means for AI Coding Platforms</title><link>https://monkeycode.cc/blog/model-context-protocol-mcp-coding-platforms/</link><guid isPermaLink="true">https://monkeycode.cc/blog/model-context-protocol-mcp-coding-platforms/</guid><description>MCP is an open standard for connecting AI tools to data and services. Here is what it is, why interoperability matters for coding platforms, and the security caveats.</description><pubDate>Mon, 20 Jul 2026 00:00:00 GMT</pubDate><category>Model Context Protocol</category><category>MCP</category><category>AI interoperability</category><category>coding agents</category><category>open standards</category><author>MonkeyCode Team</author></item><item><title>Securing AI Coding Agents: An OWASP-Aligned Checklist for Teams</title><link>https://monkeycode.cc/blog/securing-ai-coding-agents-owasp-checklist/</link><guid isPermaLink="true">https://monkeycode.cc/blog/securing-ai-coding-agents-owasp-checklist/</guid><description>As coding assistants become autonomous agents, their biggest risk shifts from wrong code to unsafe actions. Map the 2025 OWASP LLM Top 10 to concrete controls.</description><pubDate>Mon, 20 Jul 2026 00:00:00 GMT</pubDate><category>AI security</category><category>coding agents</category><category>OWASP</category><category>prompt injection</category><category>self-hosted AI</category><author>MonkeyCode Team</author></item><item><title>Shadow AI in Engineering: How to Govern Ungoverned AI Use</title><link>https://monkeycode.cc/blog/shadow-ai-governance-engineering/</link><guid isPermaLink="true">https://monkeycode.cc/blog/shadow-ai-governance-engineering/</guid><description>Surveys find most employees now use AI at work while far fewer organizations govern it. Here is how engineering leaders can replace shadow AI with a sanctioned path.</description><pubDate>Mon, 20 Jul 2026 00:00:00 GMT</pubDate><category>shadow AI</category><category>AI governance</category><category>data security</category><category>engineering leadership</category><category>self-hosted AI</category><author>MonkeyCode Team</author></item><item><title>Vibe Coding Safely: Reviews, Tests, and Guardrails for Teams</title><link>https://monkeycode.cc/blog/vibe-coding-safely-for-teams/</link><guid isPermaLink="true">https://monkeycode.cc/blog/vibe-coding-safely-for-teams/</guid><description>How to keep the speed of vibe coding without shipping unreviewed AI code: acceptance criteria, human review, tests, security checks, and bounded execution environments.</description><pubDate>Mon, 20 Jul 2026 00:00:00 GMT</pubDate><category>vibe coding</category><category>code review</category><category>AI code security</category><category>engineering workflow</category><category>AI development platform</category><author>MonkeyCode Team</author></item><item><title>What Is Vibe Coding? A Practical Guide for Engineering Teams</title><link>https://monkeycode.cc/blog/what-is-vibe-coding/</link><guid isPermaLink="true">https://monkeycode.cc/blog/what-is-vibe-coding/</guid><description>Vibe coding, coined by Andrej Karpathy in 2025, builds software from natural-language intent and AI generation—what it is, where it works, and its limits.</description><pubDate>Mon, 20 Jul 2026 00:00:00 GMT</pubDate><category>vibe coding</category><category>AI coding</category><category>AI development platform</category><category>code review</category><category>engineering workflow</category><author>MonkeyCode Team</author></item><item><title>Who Owns AI-Generated Code? Copyright and IP Questions for Teams</title><link>https://monkeycode.cc/blog/who-owns-ai-generated-code-copyright/</link><guid isPermaLink="true">https://monkeycode.cc/blog/who-owns-ai-generated-code-copyright/</guid><description>Can you copyright AI-generated code, and can it infringe someone else&apos;s? A plain-language look at the US Copyright Office&apos;s 2025 report and the GitHub Copilot litigation.</description><pubDate>Mon, 20 Jul 2026 00:00:00 GMT</pubDate><category>AI copyright</category><category>intellectual property</category><category>AI-generated code</category><category>open source licensing</category><category>AI governance</category><author>MonkeyCode Team</author></item><item><title>GPT-5.6 for Coding: What the July 2026 Launch Actually Changes</title><link>https://monkeycode.cc/blog/gpt-5-6-coding-agent-launch-analysis/</link><guid isPermaLink="true">https://monkeycode.cc/blog/gpt-5-6-coding-agent-launch-analysis/</guid><description>OpenAI says GPT-5.6 improves coding-agent capability and efficiency—what was announced, what benchmarks do not prove, and how teams should test it.</description><pubDate>Wed, 15 Jul 2026 00:00:00 GMT</pubDate><category>GPT-5.6</category><category>AI coding agents</category><category>coding benchmarks</category><category>model evaluation</category><author>MonkeyCode Team</author></item><item><title>SWE-Bench Pro Audit: Why Coding-Agent Leaderboards Need Local Evidence</title><link>https://monkeycode.cc/blog/swe-bench-pro-audit-coding-agent-evaluation/</link><guid isPermaLink="true">https://monkeycode.cc/blog/swe-bench-pro-audit-coding-agent-evaluation/</guid><description>OpenAI reports that about 30% of audited SWE-Bench Pro tasks are broken. Learn what that finding means—and does not mean—for evaluating AI coding agents.</description><pubDate>Wed, 15 Jul 2026 00:00:00 GMT</pubDate><category>SWE-Bench Pro</category><category>AI coding benchmarks</category><category>coding agents</category><category>evaluation methodology</category><author>MonkeyCode Team</author></item><item><title>What Makes an Open-Source AI Coding Platform Ready for Engineering Teams?</title><link>https://monkeycode.cc/blog/open-source-ai-coding-platform-for-teams/</link><guid isPermaLink="true">https://monkeycode.cc/blog/open-source-ai-coding-platform-for-teams/</guid><description>A practical framework for evaluating AI development platforms across environments, governance, collaboration, model choice, and deployment control.</description><pubDate>Thu, 09 Jul 2026 00:00:00 GMT</pubDate><category>open-source AI</category><category>AI coding platform</category><category>engineering teams</category><category>developer productivity</category><author>MonkeyCode Team</author></item><item><title>AI Coding Agent vs. Code Assistant: The Difference That Matters for Teams</title><link>https://monkeycode.cc/blog/ai-coding-agent-vs-code-assistant/</link><guid isPermaLink="true">https://monkeycode.cc/blog/ai-coding-agent-vs-code-assistant/</guid><description>Understand how completion tools, conversational assistants, and autonomous coding agents differ—and where a managed development platform fits.</description><pubDate>Wed, 08 Jul 2026 00:00:00 GMT</pubDate><category>AI coding agent</category><category>code assistant</category><category>developer tools</category><category>AI development</category><author>MonkeyCode Team</author></item><item><title>Self-Hosted AI Development Platform: A Practical Deployment Checklist</title><link>https://monkeycode.cc/blog/self-hosted-ai-development-platform-checklist/</link><guid isPermaLink="true">https://monkeycode.cc/blog/self-hosted-ai-development-platform-checklist/</guid><description>Plan a private AI development platform with a clear checklist for infrastructure, models, source control, security boundaries, operations, and rollout.</description><pubDate>Tue, 07 Jul 2026 00:00:00 GMT</pubDate><category>self-hosted AI</category><category>private deployment</category><category>AI development platform</category><category>DevOps</category><author>MonkeyCode Team</author></item></channel></rss>