#Monorepo

Articles about Monorepo — exploring patterns, best practices, and real-world implementations in production systems.

3 posts tagged with monorepo. ← Blog home

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Pratik Dhanave · ·4 min read

CI at Monorepo Scale — Caching, Sharding, and the Merge Queue

At sufficient scale, CI stops being a pipeline and becomes a distributed system: tens of thousands of test targets, hundreds of concurrent changes, a compute bill with its own line item, and a main branch whose greenness is contested by every merge. The architecture that holds it together rests on three load-bearing pieces — content-addressed caching so nothing provably-unchanged ever reruns, sharding so wall-clock stays flat as suites grow, and merge queues so main stays green under concurrent landing. This closing post assembles them.

Monorepo CI's three load-bearing pieces: content-addressed caching (hermetic inputs, determinism — flake work is cache-enablement), duration-balanced sharding engineered against the slowest-shard tail, and merge queues testing each change against main-plus-queue. Run as a product with SLOs. Closes the series.

#Testing#CI/CD#Monorepo#Build Systems#Developer Productivity
Pratik Dhanave · ·4 min read

Selective Test Execution — Running Only the Tests a Change Can Break

The single highest-leverage move against suite collapse is refusing the premise: a change touching one module does not need the whole suite — it needs the tests that could plausibly fail because of it. Selecting that subset correctly, from dependency structure rather than hope, is how 50-million-line codebases keep CI in minutes. The engineering is in the word "correctly": an over-selective system merges breakage; an under-selective one buys nothing.

Run the reverse transitive closure of a change — via build graphs, extracted dependencies, or coverage maps — while honestly engineering the escapes: annotated invisible edges, a post-merge full-suite safety net whose misses are selection bugs, and a measured escape rate. Selection + caching + sharding is the monorepo formula.

#Testing#CI/CD#Monorepo#Build Systems#Developer Productivity
Pratik Dhanave · ·4 min read

Build Systems — Fast and Correct Are the Same Investment

Every DevProd capability this series described stands on one foundation: a build system that is fast because it is correct. Caching that can be trusted, selection that can be sound, codemod fleets that can be verified — all of them require builds whose inputs are fully declared and whose outputs are reproducible. The old framing treats speed and correctness as a trade-off; modern build engineering discovered they're the same property, bought once: hermeticity.

Hermeticity is the one property — declared inputs, enforced graphs, deterministic outputs — from which sound caching, correct selection, remote execution, and supply-chain attestability all follow. Fast and secure are the same investment; earning it on a grown codebase is an org-loop campaign worth running at scale.

#Developer Productivity#Build Systems#Monorepo#Supply Chain Security#Tooling#Platform Engineering

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse the blog or explore related topics using the tag cloud above.