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AI Development162 articles · Page 3 of 14
AI Development
Implementation notes for building AI tools around real business data, handoffs, review queues, and safeguards.
AI Development articles, page 3
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AWS's legacy browser agent needs an explicit approval-timeout rule
AWS's AgentCore legacy-browser sample pauses for a person, but after 300 seconds the model chooses whether to retry, change approach, or abort. Define the timeout outcome before consequential writes.
6 min read
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Intelligent Terminal 0.2 makes the agent a per-profile choice
Microsoft Intelligent Terminal 0.2 can select agents per tab and per Windows or WSL profile. Standardize the execution context, not only the terminal app.
6 min read
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NVIDIA Switchyard turns model choice into a runtime decision
NVIDIA NeMo Switchyard can route each agent turn to a different model. Its pre-alpha status makes observability—not promised savings—the right first test.
6 min read
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Google Sheets canvas is a write surface, not just a dashboard
Google Sheets canvas turns spreadsheet records into generated mini-apps, with edits syncing in both directions. Test the write path before using it on consequential data.
5 min read
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GitHub Rule Insights can rank bypasses. It cannot judge them.
GitHub’s organization-level Rule insights dashboard aggregates rule evaluations and highlights repositories with the most bypasses. Use the ranking to choose an investigation, not to label risk.
6 min read
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Amazon Quick can read Purview labels. You still choose what happens next.
Amazon Quick now applies Microsoft Purview sensitivity labels to files in chat, spaces, and knowledge bases. The consequential choices are the default and outage actions.
6 min read
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Amazon Quick reached GovCloud. Your workflow still needs its own boundary test
Amazon Quick can now keep agent data and inference in GovCloud (US-West). That removes one deployment blocker, not the need to approve the full workflow.
7 min read
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Copilot Memory is a user policy with repository consequences
Copilot can carry repository facts and coding preferences between sessions and features. The enablement decision belongs at the user-policy layer, but its effects reach code review, CLI work, and repositories.
6 min read
Constructed diagramAI Development·
AI writes more code. Your language choice now sets the review floor.
Go's formatter, compiler, tests, vulnerability checks, and fuzzing can give coding agents a consistent verification path. That is a reason to test the path—not migrate on faith.
6 min read
AI Development·
GitHub’s Copilot token report tells you where cost accumulated—not why
GitHub now exposes four token classes behind Copilot AI credits. The report can locate a costly slice, but task context and quality evidence must explain it.
7 min read
AI Development·
In n8n, text before a tool call is not the tool result
n8n 2.35 fixes pre-tool text leaking into later AI Agent responses. The repaired behavior differs between V3 chat messages and V2 node output, so test the exact path you operate.
6 min read
AI Development·
Docker Sandboxes: local stdio MCP servers run on the host
Docker Sandboxes 0.38.0 made MCP a first-class feature. The agent stays in a microVM, but a local stdio MCP server can execute on the host.
8 min read
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