Theme

Working with agents

How to run AI coding agents day to day: memory, context, handoffs, many sessions at once.

101 posts by DX, in two lanes: plain-language stories and the technical build log.

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Everyday lane

Plain-language stories. No jargon. 13 posts.

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A Seven-Hour Session With 390 Prompts and No Record

A day of overlapping AI work showed us why every open task needs a name, a record, and a clear end.

· 4 min read

Giving agents context that stays accurate

Agent memory, notes and session handoffs

Running agent sessions and browsers unattended

Tracking many sessions and catching mistakes

Measuring and managing AI cost and quota

Coordinating multiple agents without wasted effort

Technical lane

The build log: the logs, the code, the fix. 88 posts.

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A 522-Line Markdown File Changed Every Session We Start

A committed AI context file turns repeated codebase explanations and product guardrails into a reviewable project artifact that sessions can be instructed to read first.

· 6 min read

Giving agents context that stays accurate

Agent memory, notes and session handoffs

Running agent sessions and browsers unattended

Tracking many sessions and catching mistakes

Coordinating parallel agents on one machine

Shared memory and pipelines across AI tools

Measuring and managing AI cost and quota

Coordinating multiple agents without wasted effort

Orchestrating parallel sessions and trusting their reports

Measuring AI work and keeping its plans

Pitfalls when agents share files and output

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