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Articles tagged Software Development in the Journal.
25 articles
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Connect Claude Code to Linear or Jira using official MCP instructions, then check permissions, one approved update and a fresh Cursor handoff.
A readable transcript can still be the wrong input for code. Choose its number representation before treating a schema check as evidence of correctness.
Compare DeepSeek Harness and Pi coding agent by architecture, MCP support, approvals, sandboxing, and session evidence. Choose the operating burden your team can own.
A mock LLM server returns controlled model responses locally so tests stay fast and deterministic. Here is when to use one, what it needs to simulate, and what it cannot tell you.
A practical guide to Claude Code on Pro and Max after Opus 5: pick model tier and effort level by task shape, commit routing to subagents, and pace against limits Anthropic does not publish.
Build a decision-ready review queue for AI-generated code with a clear task contract, inspectable evidence, visible gaps, and a named human decision.
Keep humans responsible for promises, acceptance, exceptions, and consequences. Delegate coding work when it is bounded, inspectable, and reversible.
Learn to change Codex thinking effort in the CLI and IDE. Compare supported levels and Max vs Ultra, then choose a model and diagnose when to raise effort.
Better AI coding models expose the coordination layer your team never assigned: active task state, blockers, approvals, artifacts, and handoffs that survive Cursor, Claude Code, Codex, and closed sessions.
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