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Writing from the team
Engineering10 August 20263 min read
AI for law firms, by email
Deepsolve Legal is an AI assistant that helps law firms handle routine correspondence by drafting emails and letters from a secure, firm-controlled system. The assistant learns from the firm's own templates and documents, always flags AI involvement, and requires solicitor review before sending.
David YuEngineering14 July 20269 min read
Understanding data security for law firms
Law firms handling highly sensitive data should minimize their exposure by working directly with enterprise foundation models rather than through vendor wrappers, while implementing strict internal controls like multi-factor authentication, least-privilege access, and endpoint monitoring tools to protect against both external breaches and insider threats.
David YuEngineering9 July 20263 min read
Data migrations at Atlassian
Atlassian's data migrations platform handles massive, complex customer data movements from datacenter to cloud using a team of over 200 engineers. The role involves challenging technical problems around moving terabytes of data reliably, demanding oncall responsibilities, and significant testing requirements that offer substantial opportunities for impact.
David YuCompany9 July 20263 min read
Announcing Deepsolve for small businesses
Deepsolve announces a platform designed to help small businesses overcome operational bottlenecks by automating repetitive tasks like document indexing. The company argues that engineering should focus on solving business problems rather than simply writing code, enabling teams to concentrate on high-value work.
David YuEngineering8 July 20264 min read
The challenges of our shift to cloud
Organizations face significant tradeoffs when migrating from self-hosted software to cloud platforms, including reduced operational burden but increased dependence on vendors' security practices, data handling, and compliance with regional data residency requirements. Isolated cloud environments offer stronger data protection but create architectural challenges, particularly for microservices-based systems requiring standardized deployment frameworks across multiple teams.
David YuEngineering8 July 20265 min read
Software Engineering When You No Longer Write the Code
As AI handles code generation, software engineers must shift focus to soft skills, system-wide understanding, and domain expertise rather than niche technical knowledge. Success requires leading with data, building robust testing practices, and orchestrating AI effectively toward business outcomes.
David YuEngineering8 July 20265 min read
Building robust and reliable migration pipeline
Atlassian's migration platform handles complex data transfers by building custom orchestration to support entity-level migrations with id remapping and incremental updates. The post covers key architectural decisions, performance optimizations like parallelism and delta migrations, and reliability strategies for managing distributed system failures at enterprise scale.
David Yu