Web Assembly Components: The Universal Module?
Wasm Component Model maturity.
Wasm Component Model maturity.
Django approaches its 20th anniversary (2005-2025/26).
New year predictions.
Summary of the agentic shift.
Anticipating the major version.
Annual check-in on the singularity.
The changing SEO landscape.
Status of Rust adoption in OS dev.
AI voice cloning/social engineering defense.
What's coming in the "Pi" version.
Embodied AI checking in.
Mobile AI capabilities.
Speculation/Roadmap.
Companies moving back to bare metal?
Agents doing full PRs.
Revisiting the lightweight stack.
The breakdown of the data wall.
Astral's `uv` replacing pip/poetry?
Real-time interactions becoming seamless.
The new standard for K8s networking.
Release coverage.
New milestones in error correction.
Anthropic's open standard for AI tools.
The trend of "software is eating the world, AI eats software".
Regulatory constraints hitting production.
Roadmap for the next LTS in April.
Open source catching up to logic models.
Apple Intelligence / Copilot PC.
Community survey analysis.
Deno becomes viable for legacy code.
"Thinking" time for better logic.
OTel becoming ubiquitous.
Black Forest Labs disrupts image gen.
Extending infrastructure as code.
The editor that knows your codebase.
Native pooling reducing need for Pgbouncer.
Chinese labs showing massive efficiency.
The importance of staged rollouts.
Real-time voice/vision integration.
Sustainability in tech.
UX patterns.
The library continues to mature.
Moving from chains to graphs/loops.
Meta continues dominance in open weights.
Maturity of the platform concept.
Rust-based python tooling taking over.
Claude 3 Opus briefly taking the crown.
Leveraging DB features directly.
Rethinking the command line.
OpenAI demonstrates video physics understanding.
Privacy-focused, free local AI.
Google releases Gemini Pro/Ultra.
Field group templates and defaults.
Previewing the Dec release.
Custom GPTs and JSON mode.
The efficiency of smaller models.
Production grade secret management.
Speeding up Python bottlenecks.
The standard pattern for enterprise AI.
Per-interpreter GIL discussions.
Meta releases Llama 2 for commercial use.
Organizational design for DevOps.
AI writing and running its own code.
Refreshing the HTMX pattern.
Docker alternative for lightweight sandboxing?
Modular's growing hype (or not).
The framework for chaining LLM calls.
Early autonomous agent experiments.
Major LTS release.
The new state of the art.
RAG stacks emerging.
Local LLM revolution begins.
Trivy, Grype adoption.
Fast, type-safe alternative to DRF.
Learning how to talk to models.
A look back at the explosion of models.
Early experiments with text-davinci-003.
The inflection point for AI utility.
DB tuning basics.
Legal battles over training data begin.
TS becoming the industry standard for JS.
"No-JS" frontend stacks gaining ground.
SOTA speech-to-text open sourced.
Treating the platform as a product.
Closing the async gap in Django.
Artistic quality jumps significantly.
Comparing the two modern giants.
Best practice advice.
The dependency on GPU availability.
Canary deployments made easier.
Faster CPython project results.
High quality image gen runs locally.
Handling tree structures in SQL.
Concurrency made simple with goroutines.
Memory safety without garbage collection.
The eternal debate revisited.
DeepMind's coding agent attempts.
Integrating backend apps with no-code flows.
Intellectual curiosity about the trend.
The peak of the crypto cycle.
Removing time-zone dependency on pytz.
Java logging vulnerability chaos.
Core skill refresh.
The engine behind modern image generation.
Facebook rebrands to Meta.
Container runtimes evolving.
Architectural patterns for business logic.
Stanford term for massive pre-trained models.
Tools that actually save time.
Beyond HTTP.
Structural pattern matching arrives.
Cloud bills getting too high.
The start of AI-assisted coding.
SaaS architecture patterns.
Modeling relationships in data.
High performance kernel tracing.
Stable base for the next 3 years.
Learning without labels (Yann LeCun's push).
Moving away from `requirements.txt`.
Data engineering evolution.
The testing framework debate.
OpenAI's first avocado chair moment.
Security front and center.
Pandemic impact retrospective.
Deep dive into sysctl and ulimits.
DRF, Cookiecutter, Debug Toolbar etc.
AI's biggest scientific breakthrough.
Standardizing K8s deployments.
The beginning of the HTML-over-the-wire resurgence.
Dictionary merge `
Managing the ML lifecycle.
SRE evolution into Platform Engineering.
Async views officially landed.
SOTA models for vision.
Unconventional uses of workflow tools.
FastAPI entering the chat for pure APIs.
IBM/Amazon pausing facial recognition sales.
MS pushing Actions hard.
Database flexibility within SQL.
Simplifying local stacks.
The massive leap in LLM capabilities.
Accessing infra from home securely.
Performance tuning for high traffic.
Pandemic onset; tools like VS Code Live Share.
PyTorch gaining dominance in research.
The rise of "Observability" (Tracing/Logs/Metrics).
Experimenting with Django 3.0 features.
Looking back at the cloud/mobile decade.
Milestone release supporting ASGI.
Essential async task queue management.
The library that democratized NLP.
Integrating security into the pipeline early.
Hype building for the next major version.
The feature that caused Guido to step down (sort to speak).
Model interpretability importance growing.
Extending K8s capabilities.
PaaS evolution.
Preparing for Async Django.
TF 2.0 beta/release making DL more accessible.
Security paradigm shift.
New features in 2.2 for data integrity.
Practical application of 2018's breakthroughs.
Python becoming more statically typed.
Complexity vs. Control in microservices.
The important Long Term Support release.
The standard tooling for DS/ML exploration.
Managing infrastructure via Git commits.
Breaking the monolith debate.
OpenAI's controversial staggered release strategy.
GitLab grabbing market share from Jenkins.
GraphQL challenging REST supremacy.
TIOBE index shifts and Python's rise.
Early serious discussions on algorithmic bias.
Adoption of the new `@dataclass` decorator.
The eternal editor war.
Practical guide for a common Django task.
Google releases BERT; the ImageNet moment for NLP.
The IaC debate heating up.
Owning your automation infrastructure.
ResNets and YOLO object detection popularity.
Feature spotlight for the Aug 2018 release.
Netflix tooling principles entering wider enterprise.
Evergreen performance advice.
The seminal paper that changed everything (gaining hindsight traction).
The modern monitoring stack replacing Nagios/Zabbix.
JAMstack starting to gain serious traction.
Focus on HTTPS, HSTS, and secure milestones.
Pre-Transformer era; how we largely did NLP before BERT.
Essential command line skills for devs.
A key feature of Django 2.0 URL routing.
Low-code workflow automation gaining traction.
DeepMind's AlphaZero mastering games without human data.
Python 3.6/3.7 adoption growing; modernizing file handling.
K8s winning the container orchestration war against Swarm/Mesos.
Django 2.0 released late 2017; dropping Python 2.7 support.