Get the weekly digestSubscribe

/ THE FEED /

Read what ships.

Deep, recent reads ranked by depth and freshness.

AWSremove filterObservabilityremove filterTestingremove filterDepth 3+remove filterClear all

  1. 01Amazon Web Services · architecture

    Automate medical coding with Step Functions and Amazon Bedrock AgentCore

    Automating medical coding requires a hybrid approach that combines deterministic orchestration with bounded agentic reasoning to ensure safety, auditability, and human oversight. The team built a workflow using AWS Step Functions, AWS Lambda, and Amazon Bedrock AgentCore that evaluates terms cheapest-first via block-lists, exact matching, and finally an LLM agent for ambiguous cases. This design successfully autocodes confident cases while routing ambiguous ones to human reviewers with full audit trails and decision explanations.

    DEPTH ■■■■■15 min read4 days ago

    AWS

    Sign in to save and rate

  2. 02Stack Overflow · practice

    The Regression Tests Nobody Writes: Capturing How Software Actually Behaves

    Standard regression tests usually only verify developer intent rather than the actual, unwritten behaviors that systems accumulate in production over time. By capturing real production traffic and network-level interactions, teams can build characterization test suites to automatically detect unintended behavioral shifts. This approach prevents accidental regressions during legacy refactoring, rewrites, and major framework upgrades.

    DEPTH ■■■■■6 min read3 days ago

    Testing

    Sign in to save and rate

  3. 03Stack Overflow · practice

    Your next job doesn’t have a title yet: Emerging role skills Q&A with Cory Hymel of Andela

    Researchers analyzed thousands of job postings to understand how artificial intelligence is changing technical skill requirements. The findings indicate that instead of creating a workforce of pure generalists, the market is developing distinct new specialized skill bundles and hybrid roles. Consequently, organizations are facing talent debt as the half-life of technical skills rapidly shrinks.

    DEPTH ■■■■■15 min read11 days ago

    Testing

    Sign in to save and rate

  4. 04Grab · architecture

    Data Mesh at Grab (Part III): Operationalizing data reliability with automated DPIs

    Grab addressed runtime data reliability issues in its data mesh by implementing automated Data Production Issues (DPIs). The system uses an incident orchestrator to detect contract breaches, a Data Health API for cross-platform root cause analysis, and Hugo for automated remediation. This approach resolved 86.9 percent of incidents automatically and made mean time to resolve six times faster.

    DEPTH ■■■■■12 min read8 weeks ago

    DatabasesObservability

    Sign in to save and rate