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AI Development223 articles · Page 3 of 19
AI Development
Implementation notes for building AI tools around real business data, handoffs, review queues, and safeguards.
AI Development articles, page 3
AI Development·
Cooley GO Public: start AI drafts with the client, not the template
Cooley describes an AI-assisted IPO workflow built around client information, public sources, and curated precedents. The useful lesson is how teams choose a draft’s starting point.
5 min read
AI Development·
OpenAI Agents API: managed harness, your choice of sandbox
OpenAI now operates the Codex harness through an API. Developers can choose the execution environment, but self-hosted compute does not remove managed-session data limits.
5 min read
AI Development·
Salesforce in Claude: what to test in the sales beta
Salesforce brings CRM context and actions into Claude. Start with a supported sales task, check the answer against records, then evaluate updates separately.
6 min read
AI Development·
Copilot custom-property suggestions need clear definitions
GitHub’s new preview helps administrators define repository metadata. The important next step is checking what those values mean and which repositories inherit them.
6 min read
AI Development·
What Fyxer learns from edits to AI email drafts
Fyxer reports that 53% of its AI drafts are accepted unchanged. Its approach shows why the edits people make can be more useful than a single acceptance score.
6 min read
AI Development·
Copilot Auto's new tiers: choose a priority, not a model
Copilot Auto now lets developers weigh cost, quality, and response time. All three tiers use the same available models; the selected model still determines usage charges.
6 min read
AI Development·
Sourcegraph now charges for merged AI changesets
Agentic Batch Changes is generally available for Sourcegraph Cloud. Its new billing event is a merged changeset, but the public announcement leaves important quote details open.
5 min read
AI Development·
Salesforce's AI Harness: what to reuse now and what to defer
The new architecture promises reuse across enterprise AI. Evaluate existing capabilities now, and keep future consolidation separate from work you can deliver today.
6 min read
AI Development·
Copilot's Jira canvas: check that changed requirements reach the code
The new Jira integration can reduce repeated context transfer. A changed-requirement trial shows what reaches the implementation and what still needs a manual step.
6 min read
AI Development·
Copilot HydraFusion changes the unit of cost from model to task
HydraFusion chooses a coding workflow as well as its models. Compare the complete attempt, including critique, revision, and escalation.
6 min read
AI Development·
Copilot now resolves addressed comments during rereview
Copilot can now close its own addressed comments during rereview. A cleaner list helps follow-up, but open-thread totals need careful labels.
5 min read
Constructed diagramAI Development·
A better AI image editor still needs a preservation test
GPT-Image-2.5 Flare and Sunburst promise tighter edits and better consistency. Before migrating a creative workflow, measure what changed and what should not have changed.
7 min read
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