You have seen this movie before. An RFC starts with good intent: a real problem, real engineers, real stakes. Two weeks later, it has 120 comments, three competing diagrams, and no decision. The thread is polite but tense. People are writing essays instead of code. The calendar invites keep multiplying.
At scale, an RFC process is a reliability system for technical decisions. When it works, it compresses ambiguity and distributes context. When it fails, it becomes a latency amplifier for your roadmap. After participating in and reviewing hundreds of RFCs across platform migrations, service decompositions, and org restructures, certain early signals show up with uncomfortable consistency. If you can recognize them in week one, you can often save months of churn.
1. The problem statement optimizes for a solution
When the first paragraph reads like a thinly disguised pitch for a specific tool or architecture, debate is almost guaranteed. “We need to adopt event sourcing to improve scalability” is not a problem statement. It is a conclusion hunting for justification.
In one Kafka migration at scale, the initial RFC proposed “standardizing on Kafka for all interservice communication.” The real problem was inconsistent delivery semantics and ad hoc retry logic, causing duplicate side effects in payment flows. Once we rewrote the RFC around measurable pain points, 3 percent transaction duplication, 18 hours of monthly incident time, and inconsistent idempotency guarantees, the debate shifted from “Kafka vs. REST” to delivery guarantees, schema evolution, and operational ownership.
Senior engineers sense when the frame is biased. If you skip articulating constraints, current failure modes, and measurable outcomes, reviewers will spend their energy reframing the problem instead of evaluating tradeoffs. Endless debate often starts as a fight over what we are actually trying to solve.
2. Success criteria are vague or non falsifiable
If the RFC cannot define what success looks like in operational terms, you have no shared finish line. Words like “improve developer velocity” or “increase scalability” without numbers are invitations for philosophical disagreement.
Contrast two approaches:
| Vague goal | Operational goal |
|---|---|
| Improve performance | P95 latency under 200ms at 5k RPS |
| Increase reliability | Reduce Sev1 incidents by 50 percent |
| Simplify architecture | Cut service count from 42 to 25 |
In a monolith to microservices decomposition at a B2B SaaS company, the first iteration promised “independent deployability.” It took three review cycles before someone asked: independent from what constraints? After quantifying that 70 percent of releases were blocked by a shared schema migration and that the average release cycle time was 11 days, the discussion finally anchored on measurable friction.
Without falsifiable criteria, every commenter can project their own definition of success. That is not collaboration. It is a parallel monologue.
3. The blast radius is large, and ownership is unclear
Some RFCs touch one team. Others change the topology of your entire system. If the proposal spans multiple domains but no single owner is accountable for cross-team coordination, you are setting up a distributed stalemate.
You will see comments like:
- “Have you considered how this impacts analytics?”
- “This breaks our mobile caching assumptions.”
- “Security will need to review this.”
Each of those is valid. The problem is structural. When ownership of the outcome is diffuse, every stakeholder optimizes for local risk reduction. No one is incentivized to absorb short-term pain for long-term architectural coherence.
In large organizations, Google’s SRE model formalized explicit service ownership and error budgets precisely to avoid this kind of ambiguity. When an RFC crosses boundaries without a clear DRI who can make tradeoffs across reliability, performance, and velocity, you get negotiation theater instead of decision-making.
4. The tradeoffs section reads like marketing copy
An honest RFC names its own weaknesses. A doomed one buries them.
If the tradeoffs section says “adds some complexity” without specifying where, in operational playbooks, in onboarding time, or in on-call load, you are not being transparent. Experienced engineers will dig, and the comment thread will turn into a forensic investigation.
During a Kubernetes multi-cluster rollout, an early RFC underplayed operational overhead. It focused on resilience gains but glossed over increased CI complexity, duplicated ingress management, and cross-cluster networking policies. The pushback was fierce and justified. Only after explicitly modeling the additional 2 FTE of platform work and documenting new failure modes, split-brain service discovery, and inconsistent config drift, did the discussion become grounded.
Debate becomes endless when reviewers feel they are discovering hidden costs in real time. Intellectual honesty short-circuits that dynamic. Paradoxically, naming downsides builds trust and reduces argumentative energy.
5. Historical context is missing or selectively framed
Organizations have memory, even when documents do not. If an RFC ignores past attempts, prior incidents, or abandoned migrations, someone will surface them in the comments. Usually with receipts.
I have seen proposals to reintroduce patterns that failed three years earlier under different names. The original authors had moved on. The scars remained. Without acknowledging that history, every review becomes a re-litigator of old battles.
A strong RFC includes a short, explicit section:
- Prior attempts and why they stalled
- Incidents or outages that shaped current constraints
- Assumptions that have changed since the last evaluation
When Netflix published its chaos engineering practices, it did not present them as greenfield innovation. It tied them directly to real production outages and scaling limits. That historical anchoring reframed experimentation as risk management, not novelty.
If you do not control the narrative of your system’s past, the comment thread will.
6. The comment velocity exceeds the design velocity
There is a measurable signal here. When the number of comments grows faster than the number of meaningful revisions, you are likely in a debate loop.
You can often see it in version history. V1, V2, and V3 are mostly wording tweaks responding to individual objections rather than structural updates addressing root concerns. Meanwhile, the thread branches into side discussions about coding standards, tooling preferences, and hypothetical edge cases.
In one internal platform rewrite, we tracked that an RFC accumulated 86 comments over three weeks, while the core architecture diagram changed once. That asymmetry told us we were not converging. We paused the thread, pulled five principal engineers into a 90-minute working session, and returned with a revised V4 that resolved 70 percent of open concerns in one coherent shift.
Async debate scales well for information sharing. It scales poorly for conflict resolution. If your comment velocity is high but your conceptual clarity is not increasing, you are in circular motion.
7. Decision authority and timeline are undefined
The most reliable predictor of endless debate is the absence of a clear decision mechanism. Who decides? By when? On what criteria?
If the RFC process implicitly assumes consensus among 20 senior engineers, you have designed for gridlock. Consensus works for values. It rarely works for architecture under constraints.
High-functioning teams often codify a simple rule: feedback is open until date X, the DRI synthesizes input, and the final decision is documented with rationale. Dissent is recorded but does not block execution. Amazon’s “disagree and commit” principle, when applied with integrity, prevents design discussions from metastasizing into identity battles.
This does not mean rushing decisions. It means acknowledging that architecture is a sequence of bets under uncertainty. Without a decision boundary, every new commenter reopens the premise. The RFC becomes a living debate instead of a design artifact.
Final thoughts
An RFC drifting toward endless debate is rarely about ego or incompetence. It is usually a system’s problem. Ambiguous goals, unclear ownership, missing context, and undefined decision rights create structural incentives for circular argument. As senior engineers, your leverage is not just in writing better designs. It is in designing better decision processes. Recognize the early signals, intervene decisively, and treat your RFC workflow as critical infrastructure. Because at scale, it is.
A seasoned technology executive with a proven record of developing and executing innovative strategies to scale high-growth SaaS platforms and enterprise solutions. As a hands-on CTO and systems architect, he combines technical excellence with visionary leadership to drive organizational success.
