Recce - Making Data Productive.

Recce 1.0 is now live on Product Hunt! producthunt.com/posts/recce-4 Upvote and leave a comment to help us grow the Recce community and bring better data review processed to more data teams Thanks for your support! #OpenSource #Data #DataEngineering #Analytics #DeveloperTools #dbt

Data review flagged 99.999% row-count variance. PR was two lines. Base: 5 years of prod history. Current: 1-hour CI build. False alarms train reviewers to scroll past. That's the damage. blog.reccehq.com/session-base-p… #dbt #DataEngineering

#DataEngineering #AI #SoftwareEngineering #Analytics

And listen at: heavybit.com/library/podcas…

90% of enterprise programmers spend their time on maintenance, not greenfield development. Michael Stonebraker's take on where AI actually earns its keep inverts the marketing narrative completely.

Michael Stonebraker was right about CODASYL. Right about NoSQL. Now he's run text-to-SQL on a real enterprise warehouse and got 10% accuracy against an 80% benchmark. The pattern is hard to ignore. blog.reccehq.com/benchmarks-lie… #DataEngineering #TextToSQL #AI

Before you let agents touch your codebase, build these gates. Not because you don't trust the agent, but because you wouldn't trust anyone without them. Including yourself. blog.reccehq.com/before-you-let… #ClaudeCode #AIAgents #DevWorkflow

A wiki is something you look at. A shared AI system is something you work through. When knowledge lives inside the workflow, it stays current. Every time someone runs a skill, outdated entries get noticed. Gaps get filled. blog.reccehq.com/we-didnt-set-o… #ClaudeCode #DataEngineering

The loop: code → review → handoff → skills update. Every session makes the next one smarter. One aggregation bug became a permanent rule enforced automatically. @data_dori broke it all down at Data Debug SF. Full writeup: blog.reccehq.com/ai-skills-for-… #DataEngineering #AI

AI coding tools generate plausible but wrong SQL constantly. The fix isn't waiting for a smarter model. AI skills are markdown files that encode domain knowledge into coding tools. No framework, just structured text in a repo.

Subagents return summaries to orchestrator, not raw payloads. Built with Claude Agent SDK and MCP. Read full post here: blog.reccehq.com/designing-reli… #dbt #DataEngineering #AI #MCP

One subagent fetches full PR context via a single GitHub GraphQL MCP call (replaced 5-10 gh CLI round-trips). The other explores data through 6 Recce MCP tools: lineage_diff, schema_diff, row_count_diff, custom queries.

Our own Kent Chen wrote up the multi-agent architecture the team built for Recce's AI Data Review. Single agent kept forgetting findings as PRs got complex. Fix: orchestrator + two specialists, each with its own 200k context window.

"Pandas in 2011 was essentially book-driven development, quite literally." @wesmckinn wrote features because he needed them for the book chapter. #pandasPython #DataRenegades

"If I had taken three years longer to do things the right way, it would have been too late." -- @wesmckinn on why pandas shipped imperfect and won. #pandasPython #DataRenegades

"Arrow has the intricacy of a fine Swiss watch." The co-creator of Apache Arrow (@wesmckinn) on why AI agents cannot replicate decade-long infrastructure design. #ApacheArrow #DataRenegades

"This is bad. Why haven't you fixed this yet? I would have already fixed this today with Claude code." -- @wesmckinn on radical accountability for software vendors. #AIcodingagent #DataRenegades

"I would just wake up and write Python code." @wesmckinn on the founder hours that created pandas. #DataRenegades #pandasPython

"The data team can't afford to be two years behind. You need to get that exoskeleton going now." @s_breitenother on why full-stack data people using AI agents are the new operating model. #DataEngineering #AIAgents