💻 Augmented Development

Augmented Development puts AI at the service of teams to go faster, better and safer. We help you leverage Cursor, GitHub Copilot and Claude Code without breaking your development habits, while strengthening quality, documentation and collaboration.

Why now?

AI assistants bring immediate productivity (generation, refactor, tests, docs). Misused, they create entropy (inconsistent style, doc debt, heterogeneous workflows). Our approach makes AI coherent, measurable and governed.

Tools and tangible outcomes

• Cursor: large repo context, refactor/migration agents, PR mode, style rules.
• GitHub Copilot: inline completions, code chat, PR and test suggestions.
• Claude Code: very large context and structured answers for audits and targeted rewrites.
• Gemini CLI & Gemini Code Assist: Google Cloud knowledge context and coding best practices.

We integrate these tools into your Developer eXperience for durable gains.

Keep a coherent development workflow

• Shared prompts and playbooks to produce uniform outputs.
• Documentation sharing.
• Best practices for model usage.

Living documentation and knowledge sharing

• Docs-as-code (Markdown), ADR and architecture guides.
• AI-assisted generation and updates: README, docstrings, diagrams, changelogs.
• Centralized, versioned decision templates and style guidelines.

Testing and software quality

• Generate unit/e2e tests, edge cases and fixtures.
• Safer refactoring (impact analysis, plan, verifications).
• Augmented code reviews: explanations, alternatives, code smell detection.

Working well together: “Dev with AI”

• Human⇄AI pair programming: goal, context, acceptance criteria, short iterations.
• Context management: relevant files, minimal snippets, scrubbed secrets.
• Standard prompts: “explain”, “propose 3 options”, “write tests first”, “summarize in bullets”.

Vibe-coding

• Set the rhythm: deep-focus blocks, playlists/ambiance, structured breaks.
• Foster flow: clear goals, fast feedback, short iterations.
• Tools serving the flow: templates, snippets, quick actions, non-intrusive automation.
• Ritualize quality: continuous tests, light frequent reviews, docs as you go.

Agents & background agents

• Ask: one-off request (explanation, snippet, micro-refactor). Fast, local.
• Agent: iterative, plans and executes a guided sequence (e.g., migrate a module, add tests).
• Background agent: long/async supervised tasks (e.g., repo audit, large refactors, doc generation).

We define when to use which, with guardrails and validations.

Governance and security

• Data and secrets policy (scrubbing, minimal contexts).
• Decision traceability (PR, ADR, changelogs).
• Impact metrics of AI on the Developer eXperience.

Outcome: faster teams, controlled quality, up-to-date documentation — without compromising workflow coherence.