# Write Salesforce code with the whole org in context. > SyncOnAI 360 for Salesforce developers combines real org context with governed delivery. Apex and Lightning Web Components are drafted against the connected org's own metadata and patterns, edits are checked for compilation, coverage comes from the org's last test run, changes are validated against the org, and Claude or Cursor can read it all through MCP. Source: https://synconai360.com/solutions/salesforce-developers ## Key facts - **75%**: Coverage bar, with tests run on production deploys - **0**: Non-compiling Apex edits accepted - **700+**: Lightning components from Salesforce's own source - **2 min**: To give Claude or Cursor read-only org context ## Why Salesforce development is slower than it should be The code is rarely the hard part. The hard part is everything you need to know before you can safely write it: what else fires on this object, which framework the org uses, what the coverage really is, and whether your change will survive a production deploy. - **Context lives in the org.** Your editor shows the code in the repository, not the Flows, validation rules and declarative automation that will run alongside it. - **AI that cannot see the org.** Coding assistants are fluent in Apex and blind to your org's objects, handlers and limits, so their suggestions need checking against the real thing. - **Coverage surprises.** A release fails on coverage because the last time anyone looked at the real number was the previous failed release. - **Review without evidence.** Reviewers approve diffs without seeing the blast radius in the org, and production finds what review missed. ## How do Salesforce developers get real org context? Every connected org's Apex, triggers, Lightning Web Components, Flows and configuration are synced with full source into a repository you can question. Lineage and the dependency graph show what uses a class, a field or a component and what it uses, parsed from source rather than guessed. Apex coverage comes from the org's own last test run, org-wide and for every class below 75%, with managed package classes excluded, and it says Not recorded when there is no run rather than inventing 0%. The audit flags SOQL and DML in loops, classes without tests, empty catch blocks, ancient API versions and multiple triggers per object. - Full source and dependencies for the whole org - Real coverage, class by class - Code-quality findings with the source lines as evidence ## How does SyncOnAI 360 help write Apex and LWC? Generated Apex follows best practice from the first draft, including bulkification and trigger handler patterns, built around the org's own patterns. Apex Logic shows a class as Architecture, Logic, Data, Runtime and Code, and refuses any edit that would not compile; code too complex to draw stays as code. The Component Builder configures Lightning Web Components with real event handlers and App Builder settings from a library of more than 700 components. Call Apex writes a component button and the Apex method behind it together, undoing both if either fails. The Apex Engineer and LWC Developer agents bring specialist tools to each task. - Bulk-safe Apex on the org's patterns - Compile-checked visual Apex editing - LWC builder with Call Apex wiring - Apex Engineer and LWC Developer agents ## Can developers keep using Claude and Cursor? Yes. Create a token in workspace settings and Claude Desktop, Cursor or any Model Context Protocol client can read your connected orgs: list them, search metadata, look up a component and everything that depends on it, and read assessment findings. Every answer states how much of the org it covered. The connection is read-only, scoped to the orgs you choose, logged call by call and revocable instantly. Your editor gets the org context; changes still go through proposals, validation and approval in SyncOnAI 360. - Claude Desktop, Cursor and any MCP client - Read-only, scoped and logged - Coverage stated with every answer ## How does Salesforce code reach production with evidence? A component can be proposed with its Apex controller and its test as one change. The proposal carries named pre-flight checks, a before and after view and the blast radius in the org, and is validated against the target org before review. Production deploys that include Apex run its tests at Salesforce's 75% bar, and production needs an admin other than the author to approve. Failed deploys show Salesforce's reason with Fix in chat, and every successful deploy leaves a receipt with rollback. - Component, controller and test as one proposal - Validated against the org before review - Tests run on production deploys - Receipts and rollback ## How do developers query Salesforce data with AI? Describe the data you need and the SOQL is written for you, checked against the org's real objects and fields, so it works the first time. When a question needs live data, the chat runs the query against the org directly; the records are read live and not stored by SyncOnAI 360. The SOQL and Data agent handles read-only queries and data questions. Anonymous Apex that inserts, updates or deletes data never runs on its own: it waits for you to press Allow, so exploring data stays safe. - SOQL checked against real objects and fields - Live queries, records not stored - A read-only SOQL and Data agent - Data-changing Apex waits for Allow ## A developer's workflow with SyncOnAI 360 1. **Connect.** Connect the org, and optionally Claude or Cursor through MCP. 2. **Understand.** Read dependencies, coverage and code-quality findings. 3. **Build.** Draft Apex and LWC with AI, compile-checked as you edit. 4. **Validate.** Propose with tests; validate against the org. 5. **Ship.** Second-admin approval, tests run, receipt written. ## Salesforce development, with and without SyncOnAI 360 | Without | With SyncOnAI 360 | |---|---| | Repository code without org context | The whole org's source and dependencies to hand | | AI suggestions blind to the org | AI drafting against the org's own patterns | | Coverage discovered at release | Real coverage from the org's last test run | | Reviews without blast radius | Blast radius and checks on every proposal | | Choose between your tools and governance | Keep Claude and Cursor, add governed delivery | ## Frequently asked questions ### Does SyncOnAI 360 replace VS Code? No. Keep your editor and Git workflow. SyncOnAI 360 adds org context, compile-checked visual editing, validation and governed deployment, and your editor's AI can read the org through MCP. ### Can Cursor read our Salesforce org? Yes. Add the SyncOnAI 360 MCP address and a token to Cursor and it can read the orgs that token allows, read-only, with every call logged. ### How is Apex test coverage measured? From the org's last Apex test run: org-wide and every class below 75%, excluding managed package classes. With no run recorded, it says Not recorded. ### Does generated Apex follow best practice? Generated Apex follows bulkification and trigger handler patterns from the first draft and is built around the org's own patterns. Edits that would not compile are refused. ### Can we deploy a component with its Apex and tests together? Yes. A Lightning Web Component can be proposed with its Apex controller and test as one change. ### What happens on a failed deploy? Salesforce's reason is shown, and Fix in chat opens the conversation with the error so it can be fixed and proposed again. ### Can we keep code in Git? Yes. Teams that keep Apex and LWC in Git can continue to, and admins can connect GitHub to the workspace. ### Is there a free plan for developers? Yes. Free covers one user and one production org with its sandboxes on your own AI key, and includes every feature. ### Can the AI run SOQL against our org? Yes. When a question needs data, the chat runs a live SOQL query. Records are read live and not stored by SyncOnAI 360. ### Can the AI follow our trigger framework and conventions? Generated Apex follows trigger handler patterns and the org's own patterns, and org rules can set naming conventions and forbidden patterns the AI must respect.