Cheap models are not what you think they are. It's not about the price per tokens in and out. It's about the amount of human hours its saves you.
The cheapest model on the market is Opus 5.5.
Hiring a Backend Engineer.
Looking for someone cracked in Go / Rust who can spot problems before they become outages and solve them properly, not just patch around them.
You think long-term: clean systems, clear ownership, scalability, reliability, and performance are central to the product.
If you move fast and want to be part of a team that is determined to win.
DM Me, or recommend your friends.
Steps to become a senior programmer:
1. Install my /teach skill
npx skills add mattpocock/skills --skill teach
2. Create a new working directory on your laptop
mkdir junior-to-senior
cd junior-to-senior
3. Kick off your coding agent in the directory
claude
4. Copy this prompt
/teach me how to be a great strategic programmer. My opinion is that AI is eating 'tactical, on-the-ground' programming. The day-to-day work of a developer involves not only coding, but also planning, QA, codebase design, and much more. I'm interested in learning the strategic skills - that, in a previous era, would take me from junior to senior - but in this era are table stakes.
5. Paste it into the coding agent
Below is an example of what the first output will look like. I used Opus 4.8, medium effort.
6. Continue working with the agent until you're a senior
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@anthdm I wish you good luck and strength in you path that’s amazing step forward thanks for sharing it’s great for community, quit smoking with my wife and really feel better, also I think what may help feel every breath as fresh it fulfilling us with oxygen and gives life 🙏🏻
Do not use BigQuery + Snowflake + Redshift, use ClickHouse for low latency interactive analytical queries.
Do not use MongoDB + Elasticsearch, use PostgreSQL for documents plus relational queries together.
Do not use SQLite + pandas, use DuckDB for fast local analytical SQL workloads.
Do not use Loki + Elasticsearch, use VictoriaLogs for high volume centralized log storage.
Do not use Prometheus + Thanos + Mimir, use VictoriaMetrics for long retention metrics at scale.
Do not use InfluxDB + custom rollups, use TimescaleDB for SQL based time series analytics.
Do not use Cassandra clusters, use ScyllaDB for higher throughput with fewer nodes.
Do not use Redis + Memcached, use Dragonfly for memory efficient caching under load.
Do not use ZooKeeper + Consul, use etcd for simple strongly consistent service coordination.
Do not use MySQL sharding + proxies, use TiDB for distributed SQL with horizontal scaling.
Do not use Elasticsearch + Solr, use Meilisearch for lightweight application search with ranking.
Do not use Pinecone + Milvus, use Qdrant for efficient vector similarity search services.
Do not use Neo4j clusters, use Memgraph for faster in memory graph processing.
Do not use HBase + Hadoop, use Bigtable for managed wide column storage simplicity.
Do not use RocksDB custom wrappers, use BadgerDB for pure Go embedded key value.
Do not use Kafka + Zookeeper, use Redpanda for simpler Kafka compatible streaming clusters.
Do not use Spark + Hive + Presto, use Trino for fast distributed SQL over lakes.
Do not use Airflow metadata in MySQL, use PostgreSQL for reliable workflow state storage.
Do not use S3 + Athena + Glue, use MotherDuck for managed DuckDB analytics in cloud.