The latest articles on DEV Community by euk ela (@euk_ela_a3e7ed01aa3f7314e). https://dev.to/euk_ela_a3e7ed01aa3f7314e https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3996066%2F4287dee0-5001-456c-8e47-4f628168425b.png https://dev.to/euk_ela_a3e7ed01aa3f7314e en euk ela Thu, 09 Jul 2026 01:12:10 +0000 https://dev.to/euk_ela_a3e7ed01aa3f7314e/openconnector-saas-access-for-agents-needs-a-runtime-boundary-not-more-raw-tokens-k5m https://dev.to/euk_ela_a3e7ed01aa3f7314e/openconnector-saas-access-for-agents-needs-a-runtime-boundary-not-more-raw-tokens-k5m <p>Many agent demos look simple: give the model tools, put a GitHub/Gmail/Slack token in an environment variable, and let the agent call APIs.</p> <p>That works for demos. It gets uncomfortable in products.</p> <p>The hard questions are not only "can the agent call the API?" They are:</p> <ul> <li>Which user's account is this action using?</li> <li>Which scopes were granted?</li> <li>Can the agent call only safe actions?</li> <li>Are run logs exposing sensitive inputs or provider responses?</li> <li>Is the schema the same across MCP, HTTP, SDK, CLI, and docs?</li> <li>What happens when the user disconnects, rotates credentials, or switches accounts?</li> </ul> <p>That is why <code>oomol-lab/open-connector</code> is worth a look.</p> <p>Project: <a href="https://github.com/oomol-lab/open-connector" rel="noopener noreferrer">https://github.com/oomol-lab/open-connector</a></p> ai opensource mcp devtools euk ela Wed, 08 Jul 2026 02:10:24 +0000 https://dev.to/euk_ela_a3e7ed01aa3f7314e/openconnector-saas-access-for-agents-needs-a-runtime-boundary-not-more-raw-tokens-309f https://dev.to/euk_ela_a3e7ed01aa3f7314e/openconnector-saas-access-for-agents-needs-a-runtime-boundary-not-more-raw-tokens-309f <h3> AI-assisted disclosure </h3> euk ela Fri, 26 Jun 2026 01:07:07 +0000 https://dev.to/euk_ela_a3e7ed01aa3f7314e/lathe-turns-llm-answers-into-traceable-learning-artifacts-13i7 https://dev.to/euk_ela_a3e7ed01aa3f7314e/lathe-turns-llm-answers-into-traceable-learning-artifacts-13i7