{"id":4274,"date":"2025-08-05T14:02:13","date_gmt":"2025-08-05T14:02:13","guid":{"rendered":"https:\/\/musictechohio.online\/site\/rogue-ai-agents-productivity-paradoxes\/"},"modified":"2025-08-05T14:02:13","modified_gmt":"2025-08-05T14:02:13","slug":"rogue-ai-agents-productivity-paradoxes","status":"publish","type":"post","link":"https:\/\/musictechohio.online\/site\/rogue-ai-agents-productivity-paradoxes\/","title":{"rendered":"Rogue AI Agents &amp; Productivity Paradoxes"},"content":{"rendered":"<div>\n<p><b><a href=\"https:\/\/gradientflow.substack.com\/subscribe\">Subscribe<\/a>\u00a0\u2022<\/b><a href=\"https:\/\/gradientflow.com\/newsletter\/\">\u00a0<b>Previous Issues<\/b><\/a><\/p>\n<h3>The Two-Sided Coin of AI-Assisted Coding<\/h3>\n<p><a href=\"https:\/\/www.heise.de\/en\/news\/Softbank-1-000-AI-agents-replace-1-job-10490309.html\"><span style=\"font-weight: 400;\">SoftBank\u2019s recent declaration<\/span><\/a><span style=\"font-weight: 400;\"> that the era of human programmers is ending caught my attention, especially the audacious estimate that one thousand AI agents would be needed to replicate the capabilities of a single human developer. As readers of this newsletter and listeners of my <\/span><a href=\"https:\/\/thedataexchange.media\/\"><b>podcast<\/b><\/a><span style=\"font-weight: 400;\"> will attest, I was an early adopter of AI\u2011assisted coding\u2014and I\u2019m still bullish about its power to reshape software development.\u00a0<\/span><\/p>\n<hr>\n<p style=\"text-align: center;\"><strong><em>Gradient Flow is a reader-supported publication. Consider becoming a<\/em> paid subscriber.<\/strong><\/p>\n<\/p>\n<p><center><iframe loading=\"lazy\" style=\"border: 1px solid #EEE; background: white;\" src=\"https:\/\/gradientflow.substack.com\/embed\" width=\"480\" height=\"320\" frameborder=\"0\" scrolling=\"no\"><\/iframe><\/center><\/p>\n<hr>\n<p><span style=\"font-weight: 400;\">But let\u2019s not get ahead of ourselves. While the trajectory toward more capable AI assistance is clear, a look at the current landscape shows we are still in the early stages of this transformation, navigating the gap between ambitious vision and practical reality. Converting headline\u2011grabbing hype into dependable, day\u2011to\u2011day productivity almost always takes longer\u2014and demands more gritty iteration\u2014than the evangelists admit.<\/span><\/p>\n<h5><span style=\"font-weight: 400;\">When AI Assistants Go Rogue<\/span><\/h5>\n<p><span style=\"font-weight: 400;\">Recent incidents underscore just how spectacularly things can go wrong when AI coding tools operate without proper safeguards. A particularly sobering example involved an AI agent that not only <\/span><a href=\"https:\/\/x.com\/amasad\/status\/1946986468586721478\"><span style=\"font-weight: 400;\">disregarded explicit instructions but proceeded to delete a production database<\/span><\/a><span style=\"font-weight: 400;\"> containing over 2,400 business profiles. What made this incident especially troubling wasn\u2019t just the destructive action itself, but the agent\u2019s subsequent behavior: it attempted to cover up its mistakes by generating fictitious data and providing false information about testing procedures. This deceptive behavior reveals a concerning pattern where AI systems don\u2019t simply fail\u2014they can actively mislead users about their failures.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The incident highlights fundamental security and operational challenges that extend far beyond typical software bugs. When AI agents can circumvent intended restrictions through creative but destructive means, traditional safety measures prove inadequate. The core issue isn\u2019t necessarily the AI\u2019s capabilities, but rather the dangerous gap between marketing promises of \u201csafe\u201d AI coding and the unpredictable reality of these systems in production environments. It underscores the need for a \u201cdefense-in-depth\u201d approach, assuming that the AI will, at some point, misinterpret instructions or take destructive shortcuts.\u00a0<\/span><\/p>\n<h5><span style=\"font-weight: 400;\">The Productivity Paradox of AI Coding<\/span><\/h5>\n<p><span style=\"font-weight: 400;\">A <\/span><a href=\"https:\/\/arxiv.org\/abs\/2507.09089\"><span style=\"font-weight: 400;\">recent study<\/span><\/a><span style=\"font-weight: 400;\"> (from METR) examining AI\u2019s impact on experienced developers produced results that should give AI evangelists pause. In a randomized controlled trial, researchers found that AI tools, contrary to widespread expectations, actually decreased the productivity of experienced open-source developers by 19%. This counterintuitive finding flew in the face of predictions from both the participating developers and outside experts, who had anticipated speedups of 20-39%. Digging deeper, the study noted that developers accepted fewer than 44% of the AI\u2019s suggestions, indicating that the time spent reviewing, correcting, and cleaning up AI-generated code often outweighed the benefits. <\/span>Faros\u202fAI\u2019s June\u202f2025 <a href=\"https:\/\/www.faros.ai\/blog\/ai-software-engineering?utm_source=gradientflow&amp;utm_medium=newsletter\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">\u201cAI Productivity Paradox\u201d report<\/a>\u2014drawn from telemetry on 10,000 developers in 1\u202f,255 teams\u2014echoes the same pattern: individual output jumped (~21\u202f% more tasks, nearly double the pull requests) yet company\u2011level delivery metrics stayed flat as review queues and release pipelines became the new bottleneck.<\/p>\n<blockquote class=\"stylePost\">\n<p>AI systems don\u2019t just fail\u2014they can actively mislead users and cover their tracks, demanding a new \u2018defense-in-depth\u2019 security mindset<\/p>\n<\/blockquote>\n<p><span style=\"font-weight: 400;\">Before we dismiss the utility of these tools entirely, \u00a0I should point out the limitations of <\/span><a href=\"https:\/\/arxiv.org\/abs\/2507.09089\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">the METR study<\/a><span style=\"font-weight: 400;\">. It involved only 16 developers, and while the study used models that were state-of-the-art at the time, the field is advancing so quickly that the results may not hold for today\u2019s more capable systems. The researchers also pointed to a <\/span><b>\u201cceiling effect,\u201d<\/b><span style=\"font-weight: 400;\"> arguing that the experiment tested AI in a scenario where it was least likely to provide value: with highly experienced developers working on large, mature codebases they knew intimately. For these experts, the AI\u2019s lack of deep, tacit context about the repository made its suggestions more of a hindrance than a help. The study may have inadvertently created a worst-case scenario for AI assistance. This suggests that while AI may currently struggle to augment top-tier experts on their home turf, its value could be substantial for junior developers, for onboarding onto new projects, or for any programmer working in an unfamiliar environment.<\/span><\/p>\n<h5><span style=\"font-weight: 400;\">Adoption, Attitudes, and Atrophy<\/span><\/h5>\n<p><span style=\"font-weight: 400;\">Today\u2019s reality presents a professional community divided about AI\u2019s role in software development.\u00a0 A recent <\/span><a href=\"https:\/\/www.wired.com\/story\/how-software-engineers-coders-actually-use-ai\/\"><span style=\"font-weight: 400;\">survey from Wired<\/span><\/a><span style=\"font-weight: 400;\"> found that while three-quarters of coders have tried AI tools, the community is split almost evenly into optimists, pessimists, and agnostics. This sentiment is strongly correlated with experience; early-career developers are overwhelmingly optimistic, while mid-career professionals, perhaps with more to lose, express the most concern about job security. Tellingly, the survey also revealed that 40% of full-time programmers use AI covertly on the job, a sign of a significant disconnect between official corporate policy and on-the-ground practice.<\/span><\/p>\n<figure id=\"attachment_45197\" aria-describedby=\"caption-attachment-45197\" style=\"width: 610px\" class=\"wp-caption aligncenter\"><img data-recalc-dims=\"1\" fetchpriority=\"high\" decoding=\"async\" data-attachment-id=\"45197\" data-permalink=\"https:\/\/gradientflow.com\/vibe-coding-and-chop-what-you-need-to-know\/ai-assisted-coding-trends\/\" data-orig-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/03\/AI-Assisted-Coding-Trends.png?fit=1836%2C1033&amp;ssl=1\" data-orig-size=\"1836,1033\" data-comments-opened=\"0\" data-image-meta='{\"aperture\":\"0\",\"credit\":\"\",\"camera\":\"\",\"caption\":\"\",\"created_timestamp\":\"0\",\"copyright\":\"\",\"focal_length\":\"0\",\"iso\":\"0\",\"shutter_speed\":\"0\",\"title\":\"\",\"orientation\":\"0\"}' data-image-title=\"AI-Assisted Coding Trends\" data-image-description=\"\" data-image-caption=\"&lt;p&gt;From \u201cWhat You Need to Know About AI-Driven Development\u201d&lt;\/p&gt;\n\" data-medium-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/03\/AI-Assisted-Coding-Trends.png?fit=300%2C169&amp;ssl=1\" data-large-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/03\/AI-Assisted-Coding-Trends.png?fit=750%2C422&amp;ssl=1\" class=\" wp-image-45197\" src=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/03\/AI-Assisted-Coding-Trends.png?resize=610%2C343&amp;ssl=1\" alt=\"\" width=\"610\" height=\"343\" srcset=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/03\/AI-Assisted-Coding-Trends.png?w=1836&amp;ssl=1 1836w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/03\/AI-Assisted-Coding-Trends.png?resize=300%2C169&amp;ssl=1 300w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/03\/AI-Assisted-Coding-Trends.png?resize=1024%2C576&amp;ssl=1 1024w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/03\/AI-Assisted-Coding-Trends.png?resize=768%2C432&amp;ssl=1 768w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/03\/AI-Assisted-Coding-Trends.png?resize=1536%2C864&amp;ssl=1 1536w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/03\/AI-Assisted-Coding-Trends.png?resize=1568%2C882&amp;ssl=1 1568w\" sizes=\"(max-width: 610px) 100vw, 610px\"><figcaption id=\"caption-attachment-45197\" class=\"wp-caption-text\">From <a href=\"https:\/\/gradientflow.com\/vibe-coding-and-chop-what-you-need-to-know\/\"><strong>\u201cWhat You Need to Know About AI-Driven Development\u201d<\/strong><\/a><\/figcaption><\/figure>\n<p><span style=\"font-weight: 400;\">Despite the divided sentiment, real productivity gains are materializing. Atlassian\u2019s <\/span><a href=\"https:\/\/www.atlassian.com\/teams\/software-development\/state-of-developer-experience-2025\"><span style=\"font-weight: 400;\">2025 State of Developer Experience Report<\/span><\/a><span style=\"font-weight: 400;\"> found that nearly two-thirds of developers now save more than 10 hours per week using generative AI, a dramatic increase from the previous year. Developers are reinvesting this found time not just in writing more code, but in higher-value activities like improving code quality and enhancing documentation. However, the same report highlights a crucial limitation: today\u2019s AI tools primarily target coding, an activity that accounts for only 16% of a developer\u2019s time. The other 84%\u2014spent on system design, information discovery, and navigating organizational friction\u2014remains largely unaddressed.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Perhaps most concerning are emerging research findings about AI\u2019s cognitive impact on developers. <\/span><a href=\"https:\/\/www.economist.com\/science-and-technology\/2025\/07\/16\/will-ai-make-you-stupid\"><span style=\"font-weight: 400;\">Brain imaging studies<\/span><\/a><span style=\"font-weight: 400;\"> suggest that frequent AI usage correlates with reduced neural activity in regions associated with creative thinking and sustained attention. This \u201ccognitive offloading\u201d effect raises questions about whether developers who routinely rely on AI for code generation might be inadvertently weakening their fundamental programming capabilities over time.<\/span><\/p>\n<h5><span style=\"font-weight: 400;\">The Next Phase of AI-Assisted Coding<\/span><\/h5>\n<p data-pm-slice=\"1 1 []\">AI-powered coding assistants are reshaping the mechanics of software development, giving experienced programmers a collaborative partner that converts high-level specifications into functional code and slashes the time spent on legacy migrations and maintenance. Claude Code\u2019s new <a href=\"https:\/\/docs.anthropic.com\/en\/docs\/claude-code\/analytics\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">analytics dashboard<\/a>\u2014unveiled amid 300 % user growth and a 5.5x revenue surge\u2014underscores enterprises\u2019 hunger for tools whose impact can be properly quantified. By surfacing measurable gains, these dashboards encourage a more experimental, rapid-prototyping approach in which ideas can be quickly iterated and refined. But I still think the greatest benefits arise when a skilled developer guides the assistant\u2019s models and <a href=\"https:\/\/docs.anthropic.com\/en\/docs\/claude-code\/sub-agents\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">sub-agents<\/a>, rigorously reviewing their output and retaining authority over architectural and quality decisions.<\/p>\n<p data-pm-slice=\"1 1 []\">Most of today\u2019s <strong>best<\/strong> coding assistants\u2014Claude Code among them\u2014are powerful but proprietary, cloud-hosted systems that burn through huge amounts of compute and demand an internet connection. What really excites me is the next wave: lightweight, domain-focused models that run entirely on a developer\u2019s laptop. With a well-tuned local assistant, I could keep coding at full speed\u2014even on a long, Wi-Fi-free flight\u2014without the expense or privacy trade-offs that come with cloud-only tools.<\/p>\n<blockquote class=\"stylePost\">\n<p>The true future of AI isn\u2019t replacing developers, but augmenting them\u2014automating the drudgery to free human ingenuity for complex problem-solving<\/p>\n<\/blockquote>\n<p data-pm-slice=\"1 1 []\">Yet even with these promising prospects, a <a href=\"https:\/\/arxiv.org\/abs\/2503.22625\" target=\"_blank\" rel=\"noopener noreferrer nofollow\">recent research<\/a> project highlights the formidable hurdles that still stand in the way of fully automating <strong>software engineering<\/strong>. The study identifies several critical bottlenecks that limit current AI, including poor integration with existing developer tools, difficulty understanding large and complex codebases, and an inability to adapt to constantly evolving software libraries. These issues become especially pronounced in tasks that demand sophisticated logical reasoning and contextual awareness. Addressing these deep-seated challenges will require fundamental breakthroughs in how AI systems analyze code and collaborate with human developers, suggesting the future lies in augmenting\u2014not replacing\u2014human ingenuity.<\/p>\n<hr>\n<h3>Autonomy Progression Scale<\/h3>\n<figure id=\"attachment_46460\" aria-describedby=\"caption-attachment-46460\" style=\"width: 455px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" data-recalc-dims=\"1\" decoding=\"async\" data-attachment-id=\"46460\" data-permalink=\"https:\/\/gradientflow.com\/rogue-ai-agents-productivity-paradoxes\/agency-spectrum\/\" data-orig-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/08\/Agency-Spectrum.jpeg?fit=1900%2C2077&amp;ssl=1\" data-orig-size=\"1900,2077\" data-comments-opened=\"0\" data-image-meta='{\"aperture\":\"0\",\"credit\":\"\",\"camera\":\"\",\"caption\":\"\",\"created_timestamp\":\"0\",\"copyright\":\"\",\"focal_length\":\"0\",\"iso\":\"0\",\"shutter_speed\":\"0\",\"title\":\"\",\"orientation\":\"1\"}' data-image-title=\"Agency Spectrum\" data-image-description=\"\" data-image-caption=\"&lt;p&gt;From: Agents In the AI-First Company&lt;\/p&gt;\n\" data-medium-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/08\/Agency-Spectrum.jpeg?fit=274%2C300&amp;ssl=1\" data-large-file=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/08\/Agency-Spectrum.jpeg?fit=750%2C820&amp;ssl=1\" class=\" wp-image-46460\" src=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/08\/Agency-Spectrum.jpeg?resize=455%2C498&amp;ssl=1\" alt=\"\" width=\"455\" height=\"498\" srcset=\"https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/08\/Agency-Spectrum.jpeg?w=1900&amp;ssl=1 1900w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/08\/Agency-Spectrum.jpeg?resize=274%2C300&amp;ssl=1 274w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/08\/Agency-Spectrum.jpeg?resize=937%2C1024&amp;ssl=1 937w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/08\/Agency-Spectrum.jpeg?resize=768%2C840&amp;ssl=1 768w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/08\/Agency-Spectrum.jpeg?resize=1405%2C1536&amp;ssl=1 1405w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/08\/Agency-Spectrum.jpeg?resize=1873%2C2048&amp;ssl=1 1873w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/08\/Agency-Spectrum.jpeg?resize=1568%2C1714&amp;ssl=1 1568w, https:\/\/i0.wp.com\/gradientflow.com\/wp-content\/uploads\/2025\/08\/Agency-Spectrum.jpeg?w=1500&amp;ssl=1 1500w\" sizes=\"auto, (max-width: 455px) 100vw, 455px\"><figcaption id=\"caption-attachment-46460\" class=\"wp-caption-text\">From: <a href=\"https:\/\/corporate-innovation.co\/2025\/07\/08\/agents-in-the-ai-first-company\/?utm_source=gradientflow&amp;utm_medium=newsletter\"><strong>Agents In the AI-First Company<\/strong><\/a><\/figcaption><\/figure>\n<p><a class=\"a2a_button_bluesky\" href=\"https:\/\/www.addtoany.com\/add_to\/bluesky?linkurl=https%3A%2F%2Fgradientflow.com%2Frogue-ai-agents-productivity-paradoxes%2F&amp;linkname=Rogue%20AI%20Agents%20%26%20Productivity%20Paradoxes\" title=\"Bluesky\" rel=\"nofollow noopener\" target=\"_blank\"><\/a><a class=\"a2a_button_linkedin\" href=\"https:\/\/www.addtoany.com\/add_to\/linkedin?linkurl=https%3A%2F%2Fgradientflow.com%2Frogue-ai-agents-productivity-paradoxes%2F&amp;linkname=Rogue%20AI%20Agents%20%26%20Productivity%20Paradoxes\" title=\"LinkedIn\" rel=\"nofollow noopener\" target=\"_blank\"><\/a><a class=\"a2a_button_facebook\" href=\"https:\/\/www.addtoany.com\/add_to\/facebook?linkurl=https%3A%2F%2Fgradientflow.com%2Frogue-ai-agents-productivity-paradoxes%2F&amp;linkname=Rogue%20AI%20Agents%20%26%20Productivity%20Paradoxes\" title=\"Facebook\" rel=\"nofollow noopener\" target=\"_blank\"><\/a><a class=\"a2a_button_reddit\" href=\"https:\/\/www.addtoany.com\/add_to\/reddit?linkurl=https%3A%2F%2Fgradientflow.com%2Frogue-ai-agents-productivity-paradoxes%2F&amp;linkname=Rogue%20AI%20Agents%20%26%20Productivity%20Paradoxes\" title=\"Reddit\" rel=\"nofollow noopener\" target=\"_blank\"><\/a><a class=\"a2a_button_email\" href=\"https:\/\/www.addtoany.com\/add_to\/email?linkurl=https%3A%2F%2Fgradientflow.com%2Frogue-ai-agents-productivity-paradoxes%2F&amp;linkname=Rogue%20AI%20Agents%20%26%20Productivity%20Paradoxes\" title=\"Email\" rel=\"nofollow noopener\" target=\"_blank\"><\/a><a class=\"a2a_button_mastodon\" href=\"https:\/\/www.addtoany.com\/add_to\/mastodon?linkurl=https%3A%2F%2Fgradientflow.com%2Frogue-ai-agents-productivity-paradoxes%2F&amp;linkname=Rogue%20AI%20Agents%20%26%20Productivity%20Paradoxes\" title=\"Mastodon\" rel=\"nofollow noopener\" target=\"_blank\"><\/a><a class=\"a2a_button_copy_link\" href=\"https:\/\/www.addtoany.com\/add_to\/copy_link?linkurl=https%3A%2F%2Fgradientflow.com%2Frogue-ai-agents-productivity-paradoxes%2F&amp;linkname=Rogue%20AI%20Agents%20%26%20Productivity%20Paradoxes\" title=\"Copy Link\" rel=\"nofollow noopener\" target=\"_blank\"><\/a><\/p>\n<p>The post <a href=\"https:\/\/gradientflow.com\/rogue-ai-agents-productivity-paradoxes\/\">Rogue AI Agents &amp; Productivity Paradoxes<\/a> appeared first on <a href=\"https:\/\/gradientflow.com\/\">Gradient Flow<\/a>.<\/p>\n<\/div>\n<div style=\"margin-top: 0px; margin-bottom: 0px;\" class=\"sharethis-inline-share-buttons\" ><\/div>","protected":false},"excerpt":{"rendered":"<p>Subscribe\u00a0\u2022\u00a0Previous Issues The Two-Sided Coin of AI-Assisted Coding SoftBank\u2019s recent declaration that the era of human programmers is ending caught my attention, especially the audacious estimate that one thousand AI&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[176,1],"tags":[],"class_list":["post-4274","post","type-post","status-publish","format-standard","hentry","category-newsletter","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/posts\/4274","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/comments?post=4274"}],"version-history":[{"count":0,"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/posts\/4274\/revisions"}],"wp:attachment":[{"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/media?parent=4274"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/categories?post=4274"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/musictechohio.online\/site\/wp-json\/wp\/v2\/tags?post=4274"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}