
deja-vu Syncs Coding Agent Memory
deja-vu turns local coding-agent session logs into searchable memory, MCP recall, redaction, and SSH-friendly sync.
Field notes on Cursor rules, subagents, MCP setup, AI code review, and team adoption habits that hold up in production repositories.
Start with Cursor subagents, MCP training, and team conventions.

deja-vu turns local coding-agent session logs into searchable memory, MCP recall, redaction, and SSH-friendly sync.

Juggler is an open-source GUI coding agent that turns agent sessions into inspectable trees instead of chat scrollback.

Clawk gives coding agents a disposable Linux VM so they can work without reaching your laptop.

searxng-ai-kit packages SearXNG as a CLI and MCP server, and shows how to connect search safely in Cursor.

local-motion helps Cursor users run a local coding model on macOS and avoid the usual memory and setup traps.

Databricks benchmarked coding agents on a huge repo; the lesson is to measure task cost, not token price.

Kastra intercepts coding-agent tool calls before they run. Learn where runtime policy helps Cursor users and where it is too much.

ultralytics-mcp lets agents control YOLO datasets and training through MCP, with a safe Cursor setup boundary.

Local MCP connects AI assistants to Mac-only context, and the safe first test is a narrow, read-only MCP boundary.

Rowboat turns the desktop AI assistant into local work surfaces. Here is where it beats Claude Desktop, and where it does not.

A 2026 arXiv study found clean code changed coding-agent cost and navigation more than pass rate.

Whyline connects company decisions to Cursor through MCP so agents can answer “why” with receipts, not guesses.

TikZ Editor makes LaTeX figures visual without hiding the source, with a practical fit table for Cursor users.

Dan Luu wrote field notes on coding with AI agents. This piece pulls out his bounded-loop lesson and turns it into a reviewable Cursor workflow.

scopewalker-mcp gives Cursor agents local, read-only complexity metrics before they edit your repo.

Manufact (YC S25) turns MCP servers into hosted apps, with a practical boundary for Cursor users connecting agents to real systems.

A story-first look at workweave/router, smart model routing, and the Cursor skill rubric worth keeping.

A practical Cursor-first rollout plan for agentic coding training, MCP boundaries, repo rules, and safer reviews.

A practical guide to Cursor team workflows with rules, skills, MCP, subagents, and a rollout checklist.

A practical rollout plan for Cursor teams adding rules, MCP boundaries, and review guardrails to coding agents.

A practical convention for Cursor rules, skills, and agent handoffs that engineering teams can adopt this week.

A practical team rollout plan for Cursor users: rules, MCP boundaries, workshops, and review guardrails for agentic coding.

A practical Cursor team workflow for agents, rules, skills, AGENTS.md, MCP, and reviewable background-agent work.

A team convention for safer AI-assisted review with Cursor rules, AGENTS.md boundaries, MCP checks, and one checklist.

A practical Cursor convention for accepting skills, subagents, and rules before they become team defaults.

A practical Cursor team convention for safer agent reviews, MCP boundaries, and repeatable AI coding adoption.

A practical team rollout for Cursor rules, AGENTS.md, subagents, skills, MCP, and review habits.

A team convention for running coding agents with scoped rules, MCP boundaries, and reviewable Cursor workflows.

A practical Cursor team rollout plan for rules, skills, subagents, and reviewable AI coding workflows.

Use Cursor rules, AGENTS.md, and review receipts to make AI code review safer across coding agents.

A practical Cursor team convention for agents, rules, skills, AGENTS.md, and safer reviewable workflows.

A practical governance matrix for comparing Cursor, Claude Code, and Codex in enterprise ai code generation workflows.

A practical Cursor rules workflow for teams using subagents, skills, AGENTS.md, and reviewable coding habits.

A practical workflow for setting AI coding boundaries, signed benchmark checks, and review guardrails in Cursor.

Use Cursor 3.9’s Customize page to roll out rules, skills, subagents, MCPs, and team habits.

A practical Cursor-first convention for agentic coding governance, MCP boundaries, and reviewable autonomous changes.

A team convention for agentic coding governance: boundaries, MCP permissions, and review checks Cursor users can adopt.

A practical Cursor team convention for autonomous coding agents, with rules, MCP limits, and review guardrails.

A practical Cursor Workshop guide for adding MCP safely with rules, skills, custom agents, and review habits.

A practical Cursor MCP guide for team rules, skills, custom agents, and reviewable integrations.

A Cursor MCP setup guide for teams using rules, skills, subagents, and a copyable checklist to keep integrations reviewable.

A Cursor-first convention for training mixed-skill teams to use coding agents with safer reviews.

A practical team convention for matching coding agents to skill levels, Cursor rules, MCP access, and review guardrails.

A practical Cursor review workflow using rules, skills, automations, and a copyable review receipt.

A practical Cursor 3.8 guide for team code reviews using Automations, rules, skills, MCP, and review receipts.

A practical review workflow for Cursor teams using agents, review receipts, MCP boundaries, and shared rules.

A practical Cursor team convention for using /automate, rules, skills, AGENTS.md, and review habits safely.

A practical governance workflow for measuring AI coding ROI with Cursor rules, MCP boundaries, and review guardrails.

A practical Cursor team convention for rules, skills, AGENTS.md, and safe always-on automations.

A Cursor-first training guide for rolling out coding agents with rules, MCP boundaries, and review guardrails.

A practical Cursor MCP guide for teams using rules, skills, automations, and reviewable agent workflows.

A practical Cursor 3.7 review workflow for teams using cloud agents, rules, skills, and review receipts.

A Cursor Workshop guide for using Cursor agents, rules, skills, and Bugbot in reviewable team workflows.

A practical cursor ai guide for teams using rules, skills, agents, and Bugbot without giving up code ownership.

Cursor MCP setup for engineering teams: add one server, scope rules, and review agent work without losing control.

A practical read on the workflow, tradeoffs, and next steps. Read the workflow, review rules, and team training patterns for AI coding tooling.

A team guide for cursor skills, subagents, rules, and one review rubric for Cursor teams.

Use cursor agent with rules, subagents, and review checks to ship safer code faster in Cursor teams.

Cursor rules help teams keep scoped .cursor/rules files, subagents, and reviews aligned in Cursor.

A practical read on the workflow, tradeoffs, and next steps. Read the workflow, review rules, and team training patterns for AI coding tooling.

AI coding training and compliance regulations as one operational system: scope rules, secret boundaries, review evidence, and escalation points that survive audit.

ai coding training for legacy codebases with review guardrails, MCP boundaries, and phased rollout steps.

Use Cursor 3.6 auto-review with cursor rules, subagents, and a team rule file for safer reviews.

How Cursor in Jira scopes work, where cursor mcp fits, and the team checklist that keeps agent work reviewable.

Practical guidance for distributed engineering teams choosing onsite ai coding training for distributed teams or virtual delivery.

A Cursor code review workflow for Jira handoffs, rules, subagents, and a review receipt teams can use this week.

Practical ai coding training cost for engineering teams: guardrails, review checks, and a budget worksheet.

Cursor in Jira tightens handoff, review, and governance for cursor ide agent plugin cline deepseek 2026 workflows.

A practical Cursor workflow for Jira-linked work, MCP, rules, and reviewable agent handoff.

Cursor 3.5 moves Automations into the Agents Window, with multi-repo and no-repo workflows for cursor ai teams.

A practical Cursor guide to cursor mcp, rules, subagents, and a team checklist for reviewable automations.

Practical ai coding governance for engineering teams: review guardrails, MCP boundaries, and shared rules across tools.

Practical Cursor skills, subagents, and rules for Jira handoffs that stay scoped and reviewable.

A practical Cursor team guide for agents, rules, subagents, skills, and one copyable checklist.

A workflow note on Cursor 3.4 cloud agents: connector stewards, glob diets, prompt expiry tags, and receipts that survive remote runs.

Cursor Bugbot effort levels mapped to review risk: lanes, an escalation list, and a triage table so deadline pressure stops deciding review depth.

Codex workspace agents and Cursor cloud agents need repo rules: scoped boundary files, connector cards, and replay receipts reviewers can check.

A cloud-agent environment guide for Cursor teams: reproducible setup, a secret boundary, and review evidence before remote agents edit code.

Cursor subagents and skills for team repos: glob diets, prompt expiry tags, skill preambles, and mutex paths that keep parallel work explainable.

An operational memo on Cursor subagents and skills for teams: mutex paths, skill preambles, prompt expiry tags, and review receipts in the repo.

A measurement guide for Composer 2: known-case evals, acceptance gates, and the review notes that separate faster drafts from better ones.

Agentic coding governance for engineering teams: the written contracts, decision stubs, scope ledgers, and replay receipts, that keep agent diffs explainable.

Cursor 3.3 context for subagents and skills: review receipts, connector stewards, glob diets, and expiry tags that cut merge-queue fatigue.

An AI code review workflow for agentic teams: connector ownership, scoped fixes, decision stubs, and replay evidence that hold up when CI is green.

An operational memo for Cursor 3 subagents and skills: connector stewards, glob diets, prompt expiry tags, and skill preambles that hold in review.

Cursor team controls for admins as an operating guide: connector stewards, mutex paths, review receipts, and rules that stay trustworthy.

Why agent harnesses need guardrails: AI agent guardrails that turn complete-sounding summaries into receipts reviewers can actually verify.

A guide for using Cursor Canvases as decision artifacts that bind owners, paths, and rules, instead of diagrams that drift away from review.

A playbook for Cursor Security Review: red-folder routing, finding triage, and the PR evidence a named human owner still signs.

A Cursor team marketplace works when shared rules, skills, and MCP connectors carry named owners: review receipts, stewards, glob diets, expiry tags.

A governance guide for Cursor SDK agents: what the official docs cover, and the contract of owners, permissions, harness tests, and release gates.

A migration memo for Cursor 3.2 teams deciding how to use subagents, worktrees, and multi-root workspaces without losing review ownership.

A working memo on how to clean up agent-written code: restore visible scope, ownership, and verification receipts to agent diffs before review.

Run a morning signal review with an AI code review checklist: precedence files, replay proof, connector owners, and receipts checked before merge.

An operational memo on headless SaaS for agents: scope ledgers, decision stubs, and replay receipts for vendor APIs without dashboards.

How to spot agent drift in coding output: the reading habits, receipts, and scope checks that catch it before the merge.

Local checks before CI, argued for agent work: replay sandwiches, connector cards, and child receipts created where the work happens.

MCP for team workflows means treating every connector as a production dependency: declared scope, named owner, written rollback, reviewable receipts.

A field guide to coding plans that lower agent cost: scope ledgers, decision stubs, and replay receipts that cut rework, not corners.

A field guide to specs for coding agents: five-line scope ledgers, decision stubs, and connector cards that a tired reviewer can check.

Why a regression test for every bug fails as strategy: guard failure classes, keep replay receipts, and stop growing suites that prove nothing.

A workflow note on functional programming for coding agents: declared inputs, scope ledgers, and receipts that keep Cursor agent diffs reviewable.

An agent-friendly codebase keeps scopes, receipts, and verification commands in files, so agent diffs stay reviewable and delegation stays safe.

An AI coding workflow built on receipts: child receipt blocks, decision stubs, scope ledgers, and precedence files that survive audit.

A field guide to lead sourcing with agents: connector cards, replay receipts, and review evidence for outreach pipelines built on Cursor and MCP.

Skills for coding agents stay reviewable when each one has a single job, a declared scope, and a pinned verification command. Broad skills hide drift.

Plain-English agent updates put intent, transcript, and diff summary in the PR, so reviewers follow agent work without replaying chat sessions.

Evaluating AI coding tools by the audit trail they leave: connector cards, child receipts, decision stubs, and scope ledgers a stranger could review.

MCP for UI components without silent rework: connector cards, CLAUDE.md precedence, replay records, and child receipts for design-system agent work.

Fast evals for coding agent workflows: replace review archaeology with receipt checks, decision stubs, and scope ledgers reviewers can run in minutes.

Parallel coding agents clog merge trains when scopes overlap. Scope ledgers, CLAUDE.md precedence, and replay receipts keep streams out of each other.

Specs and tests as the stable stack for agent work: four named fixes that turn fuzzy scopes into reviewable, parallel-safe delivery.

CSS selectors in E2E tests churn every time an agent regenerates markup. Durable selectors, decision stubs, and scope ledgers keep the suite reviewable.

A better bug-finding prompt is one reviewers can replay: receipts, precedence, and connector boundaries for agent-led debugging.

A field guide to agentic team workflows: the scope, ownership, and verification receipts that keep parallel agent output reviewable after the session ends.

Why AI coding tools degrade after rollout, and the file-backed contracts, precedence, replay receipts, connector cards, that keep them working.

A field guide to Cursor Composer layers in agentic coding: decision stubs, scope ledgers, and precedence files that keep work reviewable.

Headless agent runs in CI work when AGENTS.md mandates replay receipts, connectors carry owner cards, and child agents report exactly what they touched.

How to keep long-running agent loops reviewable: replay contracts, connector boundaries, and receipts that outlive the session.

Coding agent loops survive messy code when scope ledgers, CLAUDE.md precedence, replay receipts, and connector cards keep every iteration reviewable.

AI coding tools last when their output survives review: CLAUDE.md precedence, replay sandwiches, connector cards, and child receipts, applied in practice.

An AI coding team workflow built on child receipts, decision stubs, and scope ledgers outperforms prompt tuning, and it survives the people who wrote it.

Markdown files for coding agents, CLAUDE.md, AGENTS.md, rules, and connector cards, are the contract layer that keeps agent work reviewable and owned.

Browser checks for coding agents: turn UI claims into replayable receipts with intent lines, command transcripts, connector cards, and decision stubs.

Updating the AI coding stack without losing agent bounds: connector cards, child receipts, decision stubs, and scope ledgers that survive upgrade weeks.

Reviewing AI generated code defensively: decision stubs, scope ledgers, and replay receipts that let reviewers defend a merge without replaying the chat.

Browser automation for coding agents buys faster loops with a wider blast radius: give every connector a card, a named owner, and a rollback path.

A governance guide to AI coding wrappers: the repo contracts Cursor, Claude Code, and Codex need so agent work stays reviewable.

Why subagent prompts need their own scope, paths, and verification: four named fixes that keep forked agent work explainable in review.

An AI coding tool rollout survives scale when discipline travels as artifacts: replay sandwiches, connector cards, and decision stubs every team can audit.

Reliable AI coding workflows run on receipts, not autonomy: scope ledgers, replay sandwiches, and connector cards that keep agent streams reviewable.

Four AI coding workflow patterns that keep agent work reviewable: CLAUDE.md precedence, replay sandwiches, connector cards, and child receipts.

Async subagents speed up AI coding workflows when every fork returns receipts: paths touched, commands run, and tests that prove regression guards.

Returning markdown from docs gives Cursor, Claude Code, and Codex one reviewable contract: scope, constraints, verification, and owner on every run.

MCP integrations earn their speed when connector ownership, scoped access, and review logs stay visible. The receipts that keep fast loops traceable.

Markdown files are the agent-readable media assets that govern coding agents: AGENTS.md for Codex, CLAUDE.md for Claude Code, and .mdc rules for Cursor.

A Playwright MCP workflow note for faster agent loops, focused on connector ownership, scoped access, review logs, and test evidence.

When AI coding tools regress, the teams that recover fastest are the ones whose receipts survive the update: connector cards, child receipts, decision stubs.

Running multi-agent teams across Cursor, Claude Code, and Codex: scope ledgers, precedence files, and replay records that keep every diff reviewable.

An operating model for Cursor subagents and skills: scope ledgers, rule precedence, artifact-first review, and a one-branch training drill.