technical
9 min read
How AI Coding Agents Are Changing Software Development
The unit of work is shifting. Autocomplete suggested a line; a coding agent takes a goal, touches the file system, runs a command, reads the error, and…
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AI Coding Agents and Developer Workflows
Track how coding agents change software development workflows, engineering roles, and the boundary between generated code and verified software.
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Reports in AI Coding Agents and Developer Workflows
Read source-grounded analysis for this AI trend area.
technical
16 min read
How to Evaluate AI Coding Agents Before You Trust Them
The demo passed. The patch was clean. Three weeks later, your team spends more time reviewing agent output than it would have spent writing the code by…
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technical
15 min read
Coding Agent Repository Context: Why Good Prompts Fail Inside Real Codebases
The prompt was precise. The model was capable. The change still came back wrong.
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professional
14 min read
AI Coding Agents, Code Review, and Testing: Where Verification Moves
Writing code stopped being the bottleneck. Reviewing and integrating it became one.
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professional
15 min read
AI Coding Agent Productivity: Measuring Throughput Without Counting Generated Lines
The diff counter climbs every sprint. The release cadence does not move. That gap is not a tooling problem — it is a measurement problem, and most teams…
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technical
18 min read
AI Coding Agent Task Design: Splitting Work Before the Agent Runs
The agent returns a 900-line diff across eleven files. Tests pass locally. The reviewer opens the pull request, scrolls twice, and still cannot say whether…
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technical
15 min read
Coding Agent Security: Sandboxing Repositories, Commands, and Secrets
A coding agent is not a smarter autocomplete. It is a shell with your credentials, your network, and your filesystem — and it runs all three before you…
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