Software development

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CRM and ERP integration: define data ownership before asking for a quote

A practical guide for sales, admin, and IT leads to scope a CRM–ERP integration: data ownership, duplicate handling, pilot checks, and vendor questions.

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How to Brief a Custom Software Quote: Scope, Costs, and Acceptance Criteria

A practical guide for SMEs to brief a custom software quote: scope, requirements, cost structure, acceptance tests, and when standard software is enough.

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How to Brief an Adobe Commerce Integration: Data, Events, Retries, and Acceptance Criteria

A practical lab for drafting an Adobe Commerce to ERP integration brief: define scope, ownership, field mapping, event contract, retries, duplicates, acceptance tests, and signoff. Includes a complete simulated CSV, a synthetic event envelope, and a ready-to-use approval template.

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How to choose a software house when you need to connect existing systems

A practical guide for companies choosing a software house when the real need is to connect existing systems. It explains what to prepare, which questions to ask, how to spot risk, and how to replace a manual process with a maintainable integration.

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Duplicate or Out-of-Order Webhooks: A Test to Make a Management-System Connection Reliable

Stripe documents webhook retries, duplicates, unordered delivery, signature verification, and reconciliation via API. This lab turns those rules into a practical test for a management-system connector without claiming exactly-once delivery.

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Timeouts in ecommerce integrations: preventing duplicate orders when retrying

Stripe idempotency helps ecommerce teams avoid duplicate orders after timeouts by reusing a stable key, checking payload consistency, and planning reconciliation.

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AI in code review: what the Ramp and Codex case teaches | Dedaloop

OpenAI describes how Ramp uses Codex with GPT-5.5 to speed up code review and internal tooling. An operational view on adoption, governance and risks for software teams.

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When AI moves from commenting to changing code: what changes in code review | Dedaloop

GitHub introduces new options to apply Copilot code review feedback through Copilot cloud agent. An operational view on workflows, governance and controls for software teams.

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Gemini 3.5 Flash in GitHub Copilot: what changes for AI governance in software development | Dedaloop

GitHub is making Gemini 3.5 Flash available in Copilot. For technical teams, this is not just another model option: it is a prompt to define practical criteria for quality, cost, security and AI usage policies across the software development lifecycle.

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Copilot chooses the model in VS Code: what changes for development teams | Dedaloop

GitHub has introduced automatic model selection in Copilot for VS Code. A useful update, but one that requires policies, metrics and controls over shared data.

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GitHub Copilot for Eclipse is open source: what changes for enterprise Java teams | Dedaloop

GitHub has released the Copilot for Eclipse plugin code under the MIT license. For organizations, this is not just a technical update: it raises governance, audit and controlled adoption questions around AI coding assistants.

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GitHub limits models in Copilot web: what changes for AI development tool governance | Dedaloop

GitHub has narrowed the model selection available in Copilot Chat on the web to support more consistent responses. For companies, this is an operational reminder: AI assistants for developers should be managed as developer platform components, not as individual tools.

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Semantic search in GitHub issues: what changes for triage, backlog and software teams | Dedaloop

GitHub has introduced semantic issue search in Copilot Chat on the web. The operational value is not only finding tickets faster, but improving triage, backlog discovery and software governance.

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GitHub Issue fields: typed metadata for better software work governance | Dedaloop

GitHub brings Issue fields to public preview for all organizations: what changes for governance, priorities, reporting and automation in software teams.

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Faster AI Agents: What OpenAI’s WebSocket Case Teaches About Latency | Dedaloop

OpenAI shows how persistent connections and per-session caching reduced overhead in Codex agentic workflows. An operational read for designing more responsive AI agents.

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