@infoq.com60,000+ feature flags. 623 repositories. DoorDash built a multi-agent LLM system to automate stale flag cleanup.
The workflow combines MCP, engineer approval, isolated Git worktrees, parallel agents, and automated validation.
🔗 Details here: buff.ly/9nJjP32
@infoq.comAt #LinkedIn, early #AI coding tools created more "babysitting" than productivity.
Discover how they used #MCP to build Contextual Playbooks - scaling to 600+ playbooks & 8K active users.
The result❓
➡️ 20% productivity boost
➡️ Zero drop in system reliability
🔗 Watch now: buff.ly/C55YFaf
@infoq.comhtmx 4.0 swaps XMLHttpRequest for the fetch API, adds built-in morphing swaps that preserve DOM state, and ships under npm's next tag so current apps keep working.
🔗 See what changed and why the maintainers made the upgrade opt-in: buff.ly/r2Xwvms
@infoq.comWhat happens when AI takes over incident response?
Senior engineers build expertise through production “scar tissue.” If AI resolves every incident, that feedback loop breaks - and skills can atrophy.
🔗 Watch now: buff.ly/zQiI4hU
@infoq.comMoving from microservices back to a monolith saved Amazon Prime Video 90% on infrastructure costs!
Holly Cummins breaks down why architectural trends always come with hidden trade-offs - and why blindly chasing the shiny new paradigm will cost you.
@infoq.comWhy do almost all Python JIT compilers die?
Building a JIT is massive:
⚡ HotSpot: 1,000s of person-years
⚡ V8: ~50 full-time engineers
Discover why dynamic languages make JITs a sinkhole - and how meta-tracing could change everything.
🔗 Watch now: buff.ly/dLvi755
@infoq.comHow do you find the root cause of a large-scale cloud incident?
Atlassian’s new approach correlates metrics, logs, distributed traces, and service topology to rank hypotheses about where failures start - and how they spread.
🔗 Details here: buff.ly/QsBEIx8
@infoq.comAgoda moved its 1.5 TB hotel Price Cache from 72 SQL Server shards to DragonflyDB to handle rising read/write volumes.
The result? ~8× lower P99 read latency, with two DragonflyDB clusters providing high availability.
🔗 Read more: buff.ly/YXhFCzJ
@infoq.comDiscover how #KnowledgeGraphs can become the operational substrate for agentic systems - providing structured domain knowledge, context bundles, and SDLC patterns.
Less token overhead. Less AI slop.
🔗 Watch now: buff.ly/tto7GN2
@infoq.comThink an EU cloud region protects your data from US jurisdiction?
Physical server location ≠ #DataSovereignty
US law still applies to European data hosted by US cloud providers. The jurisdiction follows the company, not the server.
🔗 Watch now: buff.ly/1fuGDL9
@infoq.comThe ESP32 Bit Pirate project uses HTML5 APIs to install firmware and interact with ESP32-S3 boards, supporting multiple digital and wireless protocols.
Includes hands-on guides for memory dumping, signal analysis, and bus diagnostics.
@infoq.com#Postgres can handle workflow state and coordination without an external orchestrator.
🔹 SKIP LOCKED for concurrent work
🔹 Checkpoints for idempotency
🔹 Leases for crash recovery
🔹 Sleeps & approvals that survive restarts
🔗 Read the #InfoQ article: buff.ly/1XtZrtr
@infoq.comSoftware systems can collapse like buildings: one failure triggers a domino effect.
The difference? Our dominoes are hidden.
Sam Newman explains how #microservices, #APIs & database dependencies can trigger cascading failures in production.
🔗Watch now: buff.ly/9DMlOxY
@infoq.com~700 OpenAI agents in a cybersecurity benchmark found a way to communicate via a secret message board - exchanging 70,000+ messages in 6 days.
Instead of working independently, they coordinated exploits and shared "cheats" to help the collective.
🔗 Read more: buff.ly/XRCQPtJ
@infoq.com#Cloudflare’s Cache Transcoding prototype uses Zstandard to compress cache content - HTML, JSON, CSS, JavaScript - before storing it on disk.
The potential payoff: petabytes of additional effective cache capacity.
Broader testing is still needed.
🔗 Details: buff.ly/7KoTLnd
@infoq.com#AI is taking over the routine tasks junior devs used to learn from.
Scott Hanselman proposes a preceptorship model:
🔹 Senior devs focus on mentorship
🔹 Success = developing talent, not shipping code
🔹 Juniors learn by evaluating AI output
🎧 Full episode on #InfoQ - buff.ly/vhueWY2
@infoq.comBuilding AI for high-stakes, regulated environments?
Prompt logs & model versions aren’t enough. True auditability requires explaining why an input produced an output - and tracing it directly to policy.
🎬 Watch Alex Porcelli’s full talk on #InfoQ - buff.ly/pOFuM4a
@infoq.comMeta’s Astryx is now in beta: an #opensource React design system built with React 19 + StyleX.
🔹 150+ accessible UI components
🔹 CSS design tokens
🔹 CLI + MCP tooling for engineers & AI agents
🔗 Read more on #InfoQ - buff.ly/xuci0Zn
@infoq.comtsgolint v7 is here, bringing Go-powered, type-aware linting to Oxlint.
➡️ 12–18x faster than ESLint + typescript-eslint
➡️ 59 of 61 type-aware rules supported
➡️ Native TypeScript 7 integration via typescript-go
🔗 Read more on #InfoQ - buff.ly/kfmJA6G
@infoq.com#Netflix reworked its Conductor workflow engine to handle workflows with up to 30,000 tasks while cutting p99 evaluation latency by ~40%!
Conductor 4.0 adds async evaluation, dynamic worker allocation, and concurrency controls.
🔗 Read more: buff.ly/NGzDc5h
