Review AI-generated SQL for correct results, scope and execution plans
Review generated SQL for output meaning, join cardinality, boundaries, authorized scope and the distinction between plans and execution.
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Build synthetic test fixtures for AI-assisted debugging
Build small synthetic debugging fixtures with independent expected results, isolated state and bounded cleanup.
Read the guideHand off an AI-assisted pull request with reproducible evidence
Prepare an AI-assisted pull request with a reproducible problem, bounded diff, verification evidence and recovery limits.
Read the guideTriage AI code review findings by reproduction, impact and decision
Triage AI review findings by reproducibility, requirement uncertainty, maintenance value and incorrect assumptions.
Read the guideChoosing AI coding tools by the work and the patch you can accept
Choose AI coding tools by the actual work: completion, investigation, implementation, requirements and maintainable delivery.
Read the guideChoosing a first AI app builder you can publish and maintain
Evaluate beginner app builders through a small task, persistence, correction, ongoing costs and a maintainable handoff.
Read the guideChoosing Google Antigravity: plans, diffs and free-tier limits
Evaluate Antigravity change review, free access, overages and the transition from consumer Code Assist.
Read the guideChoosing Aider for terminal and Git workflows
Evaluate Aider through file scope, Git changes, model access and verification.
Read the guideChoosing Cline: model spending, approvals and recovery
Evaluate Cline provider choices, action approval, checkpoints and change review.
Read the guideClaude Code for repository work: changes, permissions and review
Evaluate Claude Code around repository investigation, change review, permissions and costs.
Read the guideChoosing Continue: model connections and editor workflows
Evaluate Continue modes, provider configuration and ongoing maintenance.
Read the guideReplit vs Lovable: development environment, web prototypes and costs
Compare Replit and Lovable by application needs, editing workflow, live-app costs and portability.
Read the guideZed pricing: Personal, Pro and independent provider costs
Separate Zed editor access, hosted Pro allowance and independently billed agents or providers.
Read the guideLovable vs Bolt: app changes, ongoing cost and handoff
Compare Lovable and Bolt by realistic revisions, usage units, publishing and future maintenance.
Read the guideChoosing Bolt: tokens, code review and publishing
Evaluate Bolt through current monthly Pro billing, token use, source control and release checks.
Read the guideChoosing Lovable: from a web prototype to maintained software
Evaluate Lovable web building, shared credits, Git synchronization and maintenance after the prototype.
Read the guideChoosing Replit: building, publishing and operating costs
Evaluate Replit through Starter publishing limits, Agent spending, persistence and application handoff.
Read the guideChoosing GitHub Copilot: completion, agents and review
Evaluate Copilot by client capabilities, GitHub AI Credits, organization policy and review workflow.
Read the guideWindsurf to Devin Desktop: current access and migration checks
Understand the current Windsurf destination, Devin access and what to verify before migrating a legacy workflow.
Read the guideKeeping code and documentation aligned during AI development
Keep requirements, README files and agent instructions current through scoped updates, verification and ownership.
Read the guideChoosing Cursor for existing code: editing, review and current plans
Evaluate Cursor for existing code, plan eligibility, patch review and a maintainable handoff.
Read the guideReal-device checks for AI-built web apps before release
Verify AI-built web apps on real devices, including keyboards, network failures, persistence and the deployed revision.
Read the guideAI changes in a monorepo: shared packages and affected behavior
Scope monorepo changes using shared types, dependency direction, lockfiles and consumer verification.
Read the guideAI-assisted API clients: contracts, authentication and errors
Build and review API clients against an explicit contract, including types, missing values, authorization and retries.
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