Stop blind retries: add error-aware failover to cut LLM costs
Treat LLM errors by type and fail over fast; blind retries burn tokens and user trust.
Treat LLM errors by type and fail over fast; blind retries burn tokens and user trust.
You can now fine-tune open-weight models on Bedrock using OpenAI-style APIs—easy to try, but verify evals yourself.
Ship stream_v2 behind a flag, wire up local-first tracing, and watch token costs and downstream parsers before promoting to prod.
Double down on AI for engineering productivity now; ship customer-facing AI only where you can prove it helps and operate it like flaky I/O.
Agentic workflows are ready; your control plane decides whether they’re safe in production.
Public model hubs now carry real supply‑chain risk—lock down model intake like you do packages and containers.
Claude Code now runs and tracks coding agents like real workloads—goal-driven, observable, and easier to operate.
Copilot CLI now speaks OpenTelemetry and lets you toggle autopilot to keep agents in check.
Agent telemetry just graduated to a real event pipeline—set it up once and make agent behavior observable, auditable, and fixable.
Layer AI-assisted SAST and container scans into GitHub Actions, then tune gates from non-blocking to blocking as the signal proves out.
Public-by-default AI agent threads turn day-to-day engineering work into a searchable, shared learning loop.
Claude Code is an orchestrated agent runtime—design workflows to use its context compressor, typed tools, and team primitives.